Public Communication Channel Research Articles

Quaternary Tree Group Diffie- Hellman Based Group Key Management Protocol for Dynamic Peer Groups

Diffie-Hellman (DH) protocol for 2-party has made the key exchange to be simple yet powerful. It is widely used in many communication-oriented protocols for establishing the keys in public communication channels. With millions of internet users connected globally and using various group oriented applications, communication among them has to be in a secured manner. Due to its simplicity, DH has been further extended to group setting and number of protocols are developed. Establishing Group Key and regenerating it during membership changes is a challenging task in communication among large groups. This paper proposes a quaternary tree method that uses the key tree concept and Group Diffie Hellman protocol, GDH.3 to establish the common key. GDH.3, an extension of DH for n parties is best suited for large dynamic groups. Quaternary tree reduces the height almost by half as against binary trees, making the rekeying much easier. As the group size increases, GDH.3 outperforms other existing group protocols based on DH, since it requires much lesser number of exponentiations.

A Lightweight, Efficient, and Physically Secure Key Agreement Authentication Protocol for Vehicular Networks

In the contemporary era, Vehicular Ad Hoc Networks (VANETs) have emerged as a vital technology in intelligent transportation systems, substantially enhancing the overall travel experience by providing advanced services to vehicles while ensuring driver safety. Despite the notable improvements, the inherent complexity of VANETs presents persistent security challenges, encompassing issues such as privacy preservation for vehicles, message authentication, and constraints in computational power and network bandwidth. Various authentication protocols have been designed for VANETs. However, many of these protocols exhibit significant vulnerabilities, rendering them insecure and unreliable in the face of diverse security threats, such as denial of service, replay, forgery, and impersonation attacks. Moreover, some existing schemes encounter limitations, including high computational complexity and the introduction of additional communication overhead and computational costs. To tackle these concerns, we designed a lightweight and secure identity authentication protocol based on elliptic curve cryptography with the objective of furnishing an effective and secure data transmission mechanism across a public communication channel for the Internet of Vehicles. In addition, we introduce Physically Unclonable Functions (PUFs) to ensure physical layer security during the communication process. A detailed security analysis demonstrates that the proposed protocol is resilient against various attacks. Through a comparative analysis with existing relevant protocols, in scenarios with a high density of vehicles, the algorithm demonstrates significantly lower computational costs and communication overhead than the related protocols, indicating that the proposed protocol is lightweight and efficient. Consequently, the empirical findings indicate that our protocol surpasses others in terms of reliability, user convenience, and practicality for ensuring secure data transmission within VANETs.

Development of a provably secure and privacy-preserving lightweight authentication scheme for roaming services in global mobility network

The accelerated development of Internet of Things services surfaced the way for providing uninterrupted and adaptable smart mobility services for mobile clients to communicate without any zone or time constraints. The global mobility network is an appropriate contender to be adopted as a communication platform to offer roaming services for swift data exchange and fast movement of mobile users in smart mobility. Nevertheless, the confidentiality and secrecy of the exchanged messages have become major concerns due to the insecure nature of the public communication channel. Additionally, it is worth monitoring that enhanced security measures must not increase the burden on limited-powered, small computationally efficient mobile devices. To fulfill these purposes, multiple authentication and key agreement protocols in the context of roaming services have been proposed in recent days. This research demonstrates that most of the previous authentication schemes for the GLOMONET environment have failed to achieve the aforesaid secrecy goals. To satisfy the purposes, this article has proposed a mutual authentication and session key negotiation scheme for roaming services that resists all security susceptibilities and provides essential requirements like anonymity with minimized computation and communication overhead. To support our claim, the security of the proposed scheme is formally verified using the well-known random oracle model and aProVerif simulation tool. Moreover, the implementation of the protocol using the broadly acknowledged NS-2 simulation tool visualizes the practical efficiency of the protocol.

Low complexity smart grid security protocol based on elliptic curve cryptography, biometrics and hamming distance.

The incorporation of information and communication technologies in the power grids has greatly enhanced efficiency in the management of demand-responses. In addition, smart grids have seen considerable minimization in energy consumption and enhancement in power supply quality. However, the transmission of control and consumption information over open public communication channels renders the transmitted messages vulnerable to numerous security and privacy violations. Although many authentication and key agreement protocols have been developed to counter these issues, the achievement of ideal security and privacy levels at optimal performance still remains an uphill task. In this paper, we leverage on Hamming distance, elliptic curve cryptography, smart cards and biometrics to develop an authentication protocol. It is formally analyzed using the Burrows-Abadi-Needham (BAN) logic, which shows strong mutual authentication and session key negotiation. Its semantic security analysis demonstrates its robustness under all the assumptions of the Dolev-Yao (DY) and Canetti- Krawczyk (CK) threat models. From the performance perspective, it is shown to incur communication, storage and computation complexities compared with other related state of the art protocols.

Research on the Impact of Post-Truth News Events on Peoples Media Literacy: Taking TikTok Feminist Topics as an Example

With the development of electronic media, media communication platforms have become mass-marketed. Technologically empowered non-professional journalists can also publish news on public communication channels. The greatly lowered barrier to entry for news dissemination practitioners can lead to the emergence of poor-quality content that lacks depth, accuracy, and authority on the Internet. Therefore, through literature research and hierarchical interviews with users of the ShakeNews platform, this paper takes news events on feminist topics on the ShakeNews platform as a starting point, focusing on how the emergence of post-truth reversal news affects the audiences news literacy. The specific research questions of this paper are: Does the reverse news have an impact on the audiences news literacy? How? What are the influencing factors? Will the audiences news literacy continue to decline under the impact of reverse news? There is an impact of reverse news events on the news literacy of the public. Specifically, it is manifested in: the impact of attitudes towards news events. The impact on the attitude of the news protagonist and the audiences thoughts on obtaining information; The impact on the audiences information processing skills.

An Efficient and Physically Secure Privacy-Preserving Key-Agreement Protocol for Vehicular Ad-Hoc Network

The popularity of vehicles promotes the evolution of smart cities. This development makes vehicular ad-hoc network (VANET) a widely used inter-vehicular communication to obtain information about road conditions, speed, vehicle location and traffic congestion. Such a public network is vulnerable to different security threats. Overall, the security of private data in VANET is a critical task. It has been observed that various authentication protocols have been devised for VANETs. However, most of the proposed protocols are not secure and reliable because of different security threats, including denial of service, replay, forgery and impersonation attacks, etc. Furthermore, the existing protocols used extra communication overhead and computational cost, so they become infeasible for resource-constrained environments. In this article, we design a lightweight and secure privacy-preserving key agreement protocol for VANETs using the hashing technique, which provides an efficient and secure data transmission mechanism over a public communication channel. Detailed security analysis shows that the proposed protocol is secure against various attacks. To evaluate the performance of the protocol, we simulate key cryptographic operations of vehicles, a roadside unit, and a trusted party agent on Arduino, low-end and high-end devices, respectively. The experimental results show that compared with the other related protocols, the computational cost and communication overhead of our protocol are reduced on average by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$8.797\%$</tex-math> </inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$22.06 \%$</tex-math> </inline-formula> , respectively. Additionally, simulation results on NS3 show that our protocol consistently achieves a packet delivery ratio higher than <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$99.91 \%$</tex-math> </inline-formula> . Therefore, our protocol is secure and reliable for VANET environment.

Towards a Secure and Computational Framework for Internet of Drones Enabled Aerial Computing

Unmanned aerial vehicles (UAVs) are deployed in various mission-critical applications to collect sensitive data and disseminate it to the server placed on the ground station. Users mostly require real-time data from the drones, instead of the information stored by the server, in specific applications to perform timely actions. However, performing real-time communication with a drone through the public communication channel, which exposed to different security risks mandates an authenticated key exchange between users and drones in the Internet of Drones (IoD) networks for enabling users to communicate securely with the drone through the public communication infrastructure. This paper proffers a resource-efficient authentication scheme for the IoD networks, called REAS-IoD. The proposed REAS-IoD utilizes the lightweight hash function and authenticated encryption primitive, known as ACE to accomplish the AKE process securely. In REAS-IoD, a user's authentication is performed, followed by establishing a secure session key (SK) between a specific drone and the user, for future encrypted communication. The SK's security is established utilizing a random oracle model. A comparative study demonstrates that REAS-IoD requires fewer resource, without compromising security and privacy features than related eminent security schemes.

Blockchain and Deep Learning for Secure Communication in Digital Twin Empowered Industrial IoT Network

The rapid expansion of the Industrial Internet of Things (IIoT) necessitates the digitization of industrial processes in order to increase network efficiency. The integration of Digital Twin (DT) with IIoT digitizes physical objects into virtual representations to improve data analytics performance. Nevertheless, DT empowered IIoT generates a massive amount of data that is mostly sent to the cloud or edge servers for real-time analysis. However, unreliable public communication channels and lack of trust among participating entities causes various types of threats and attacks on the ongoing communication. Motivated from the aforementioned discussion, we present a blockchain and Deep Learning (DL) integrated framework for delivering decentralized data processing and learning in IIoT network. The framework first present a new DT model that facilitates construction of a virtual environment to simulate and replicate security-critical processes of IIoT. Second, we propose a blockchain-based data transmission scheme that uses smart contracts to ensure integrity and authenticity of data. Finally, the DL scheme is designed to apply the Intrusion Detection System (IDS) against valid data retrieved from blockchain. In DL scheme, a Long Short Term Memory-Sparse AutoEncoder (LSTMSAE) technique is proposed to learn the spatial-temporal representation. The extracted characteristics are further used by the proposed Multi-Head Self-Attention (MHSA)-based Bidirectional Gated Recurrent Unit (BiGRU) algorithm to learn long-distance features and accurately detect attacks. The practical implementation of our proposed framework proves considerable enhancement of communication security and data privacy in DT empowered IIoT network.

Communicating shared situational awareness in times of chaos: Social media and theCOVID‐19 pandemic

AbstractTo effectively manage a crisis, most decisions made by governments, organizations, communities, and individuals are based on “shared situational awareness” (SSA) derived from multiple information sources. Developing SSA depends on the alignment of mental models, which “represent our shared version of truth and reality on which we can act.” Social media has facilitated public sensemaking during a crisis; however, it has also encouraged mental model dissonance, resulting in the digital destruction of mental models and undermining adequate SSA. The study is concerned with the challenges of creating SSA during the COVID‐19 pandemic in Australia. This paper documents a netnography of Australian public health agencies' Facebook communication, exploring the initial impact of COVID‐19 on SSA creation. Chaos theory is used as a theoretical lens to examine information perception, meaning, and assumptions relating to SSA from pre to post‐pandemic periods. Our study highlights how the initial COVID‐19 “butterfly effect” swamped the public health communication channel, leaving little space for other important health issues. This research contributes to information systems, information science, and communications by illustrating how the emergence of a crisis impacts social media communication, the creation of SSA, and what this means for social media adoption for crisis communication purposes.

Hiding Information in Digital Images Using Ant Algorithms.

Stenographic methods are closely related to the security and confidentiality of communications, which have always been essential domains of human life. Steganography itself is a science dedicated to the process of hiding information in public communication channels. Its main idea is to use digital files or even communication protocols as a medium inside which data are hidden. The present research aims to investigate the applicability of ant algorithms in steganography and evaluate the effectiveness of this approach. Ant systems could be employed both in spatial and frequency-based image steganography. The combination of frequency domain and optimization method to increase robustness is used, and an integer wavelet transform is performed on the host image. ACO optimization is used to find the optimal coefficients describing where to hide the data. The other method utilizes ACO to determine the optimal pixel locations for embedding secret data in the cover image. ACO is also used to detect complex regions of the cover image. Afterward, the least-significant-bits (LSB) substitution is used to hide secret information in the detected complex regions' pixels. Our study focuses on optimizing two mutually exclusive features of steganograms-high capacity and low distortion. An attempt was made to use ant systems to select areas of digital images that allow the greatest amount of information to be hidden with the least loss of image quality. The effect of variants of the ant system and its parameters on the quality of the results obtained was also investigated, and the final effectiveness of the proposed method was evaluated. The results of the experiments were compared with those published in related articles. The proposed procedures proved to be effective and allowed the embedding of large amounts of data with relatively little impact on image quality.

INSTITUTIONAL CONVERGENCE IN UKRAINE

The aim of the article is to develop recommendations for improving the level of institutional convergence in Ukraine. To this end, the following tasks have been set and solved: an assessment of the level of institutional convergence in Ukraine has been carried out, which includes an analysis of international indices characterising the quality of formal institutions and a further selection of indicators that are informative about convergent/divergent processes in the country; factors supporting institutional divergence in the country have been identified; recommendations have been developed to offset the importance of factors supporting institutional divergence. Methodology. The methodological and theoretical basis of the study is a systematic approach to the analysis of processes and phenomena, institutional economic theory, scientific works of the classics of economic science, leading modern domestic and foreign scholars on the problems of institutional efficiency. Results. The understanding of the essence of institutional convergence/divergence as a phenomenon characterising the local replacement of formal institutions by informal ones as a consequence of the unacceptable content of formal rules for a certain category of citizens and/or the low risk of being held accountable for their violation has been further developed. The level of institutional convergence in Ukraine is assessed on the basis of the analysis of international indices (Worldwide Governance Indicators, The Rule of Law Index, The International Property Right Index). It is noted that the indicator of the level of institutional convergence in Ukraine is an important factor that should be taken into account in the development and preliminary assessment of the effectiveness of socio-economic projects, since the usefulness of such actions for society and, consequently, the efficiency of resource spending depends on the extent to which the public is ready to accept any public or private initiatives. Recommendations have been developed to increase the level of institutional convergence by reducing the asymmetry of information in the communication system. It is determined that the asymmetry is a consequence of the high cost of information transmission and involvement of subjects in communication channels. It is proposed to digitise the systemic communication channels between the State, business and society, which will make the costs of attracting and transmitting information close to zero. Practical implications. A scientific and methodological approach to increasing the level of institutional convergence is developed. Value/originality. A methodology for assessing the level of institutional convergence in Ukraine is proposed, which involves the selection of informative indicators of convergent/divergent processes in the country from international institutional quality indices and the systematisation of the information obtained. The concept of increasing the level of institutional convergence, which includes the digitalisation of public communication channels, is developed.

CADF-CSE: Chaotic map-based authenticated data access/sharing framework for IoT-enabled cloud storage environment

Data is an essential asset of an organization or individual in this information age. Secure and resource-efficient data communication has become paramount in the IoT-enabled cloud storage environment. The users must communicate with the cloud storage servers to access, store, and share the data utilizing the public communication channel, which is exposed to various security threats. Moreover, various security frameworks have been presented to render secure data access, storage, and sharing functionalities for the cloud storage environment. Most of them are complicated and incapacitated of resisting various security attacks. Thus, it is imperative to design a secure and resource-efficient data access, storage, and sharing framework for the cloud storage environment. This paper presents a chaotic map-based authenticated data access/sharing framework for the IoT-enabled cloud storage environment (CADF-CSE). CADF-CSE is designed using the chaotic map, authenticated encryption scheme (AEGIS), and one-way hash function (Esch256). The proposed CADF-CSE comprises three significant phases user access control, data storage, and data sharing. The user access control phase enables the user and cloud server to attain mutual authentication followed by the secret session key establishment. Using the established SK during the access control phase user and cloud server exchange information securely across the public Internet. The data storage phase facilitates the data owner to store the data on a cloud server in encrypted form, where encryption is performed with a secret key derived from the user’s biometric. The data-sharing phase enables users to access the data from the cloud server after acquiring mutual permission from the cloud server and the data owner. In addition, an explication of the CADF-CSE through formal and informal analysis shows its resilience to various security attacks. Finally, the performance comparison explicates that CADF-CSE renders better security features while requiring lower computational and communication costs than the related security frameworks.

A Publicly Verifiable Optimistic Fair Exchange Protocol Using Decentralized CP-ABE

Abstract Fair exchange is a challenging problem for two mutually distrusting players. It is widely known that fair exchange is impossible without a trusted third party (TTP). However, relying on a single TTP can cause a single-point failure. An intuitive idea is to adopt multiple TTPs to distribute trust. This paper constructs a two-party optimistic fair exchange (OFE) protocol using decentralized ciphertext-policy attribute-based encryption (CP-ABE), achieving decentralized TTPs. This is achievable because decentralized CP-ABE ciphertext supports a nested access control policy. A nested access control policy fits perfectly in a fair exchange protocol which contains multiple roles (i.e. players and TTPs). Further, we apply non-interactive zero knowledge proofs to prove the well-formedness of ciphertexts, so as to enforce players to follow the protocol specification honestly. Consequently, we construct an OFE protocol in which each player’s operations are publicly verifiable without revealing secret information. Also, we obtain decentralized TTPs with optimism (i.e. the TTPs are involved only when arbitration is required), autonomy (i.e. the TTPs do not need to interact with each other), statelessness (i.e. the TTPs do not need to store data for the exchange protocol) and verifiability (i.e. the TTPs are publicly verifiable). Compared with previous work, our protocol assumes only a public communication channel and each party’s operations are publicly verifiable. Besides, it achieves a favorable $O(n)$ verification complexity in the normal case, where $n$ is the number of TTPs. Finally, we present a proof-of-concept implementation to demonstrate the feasibility.

INFORMATION MEDIA AS A PUBLIC COMMUNICATION IN FIRE MITIGATION IN SOUTH KALIMANTAN

South Kalimantan is one of the regions in Indonesia that has a high vulnerability to fire disasters. The Fire Disaster Management Agency is an agency that has a major role as an early warning system in the process of mitigating fire disasters in South Kalimantan. The purpose of this study was to determine the use of the five elements of communication according to Harold Laswell and information media as a public communication channel carried out by the Regional Disaster Management Agency/ Badan Penanggulangan Bencana Daerah (BPBD) of South Kalimantan. The research method used was a qualitative descriptive approach. The results show that in the process of mitigating fire disasters in South Kalimantan Province, the Regional Disaster Management Agency/ Badan Penanggulangan Bencana Daerah (BPBD) of South Kalimantan Province has carried out a public communication process by implementing all elements of communication and presenting Information Media as a communication channel through direct communication with the community in the area. disaster or using conventional communication channels such as leaflets, disaster pocketbooks as well as mass and digital media communication channels such as radio and social media

LACP-SG: Lightweight Authentication Protocol for Smart Grids.

Smart grid (SG) recently acquired considerable attention due to their utilization in sustaining demand response management in power systems. Smart meters (SMs) deployed in SG systems collect and transmit data to the server. Since all communications between SM and the server occur through a public communication channel, the transmitted data are exposed to adversary attacks. Therefore, security and privacy are essential requirements in the SG system for ensuring reliable communication. Additionally, an AuthentiCation (AC) protocol designed for secure communication should be lightweight so it can be applied in a resource-constrained environment. In this article, we devise a lightweight AC protocol for SG named LACP-SG. LACP-SG employs the hash function, "Esch256", and "authenticated encryption" to accomplish the AC phase. The proposed LACP-SG assures secure data exchange between SM and server by validating the authenticity of SM. For encrypted communication, LACP-SG enables SM and the server to establish a session key (SEK). We use the random oracle model to substantiate the security of the established SEK. Moreover, we ascertain that LACP-SG is guarded against different security vulnerabilities through Scyther-based security validation and informal security analysis. Furthermore, comparing LACP-SG with other related AC protocols demonstrates that LACP-SG is less resource-intensive while rendering better security characteristics.

Trends in stigmatizing language about addiction: A longitudinal analysis of multiple public communication channels

IntroductionStigma associated with substance use and addiction is a major barrier to overdose prevention. Although stigma reduction is a key goal of federal strategies to prevent overdose, there is limited data to assess progress made in reducing use of stigmatizing language about addiction. MethodsUsing language guidelines published by the federal National Institute on Drug Abuse (NIDA), we examined trends in use of stigmatizing terms about addiction across four popular public communication modalities: news articles, blogs, Twitter, and Reddit. We calculate percent changes in the rates of articles/posts using stigmatizing terms over a five-year period (2017–2021) by fitting a linear trendline and assess statistically significant trends using the Mann-Kendall test. ResultsThe rate of articles containing stigmatizing language decreased over the past five years for news articles (−68.2 %, p < 0.001) and blogs (−33.6 %, p < 0.001). Among social media platforms, the rate of posts using stigmatizing language increased (Twitter [43.5 %, p = 0.01]) or remained stable (Reddit [3.1 %, p = 0.29]). In absolute terms, news articles had the highest rate of articles containing stigmatizing terms over the five-year period (324.9 articles per million) compared to 132.3, 18.3, and 138.6 posts per million for blogs, Twitter, and Reddit, respectively. ConclusionsUse of stigmatizing language about addiction appears to have decreased across more traditional, longer-format communication modalities such as news articles. Additional work is needed to reduce use of stigmatizing language on social media.

An Improved Pairing-Free Ciphertext Policy Framework for IoT

Internet of Things (IoT) enables devices to get connected to the internet. Once they are connected, they behave as smart devices thereby releasing sensitive data periodically. There is a necessity to preserve the confidentiality and integrity of this data during transmission in public communication channels and also permitting only legitimate users to access their data A key challenge of smart networks is to establish a secure end-to-end data communication architecture by addressing the security vulnerabilities of data users and smart devices. The objective of this research work is to create a framework encompassing Ciphertext policy Attribute-based Encryption scheme using block encryption and BLAKE hashing technique. An improved Pairing-Free-Ciphertext policy Attribute-based encryption algorithm has been developed to overcome the aforementioned challenges. Further, a comparative study has been performed between the proposed scheme and the different encryption algorithms. It is found that the proposed scheme scores well over the already existing schemes. The scheme is evaluated in terms of execution time and communication overhead. The robustness of the proposed scheme is also analyzed from the perspective of several security goals.

Impact of Telehealth on Palliative Care and Pain Management in Primary Care

Primary health care focuses on the public's needs for a sustainable healthy existence without placing any financial burden on patients in order to ensure the highest degree of health and well-being and their equitable distribution. When pain management and palliative care are incorporated into primary healthcare, patients' quality of life and satisfaction improve. Palliative care includes supportive medical care for patients at any stage of disease with the goals of symptom relief, pain control, stress management, carer respite, and enhancing the quality of life. Globally, a wide range of technologies have been created to establish novel approaches to treating various chronic pain problems. Furthermore, utilising telehealth systems, which have been increasingly included in specialized palliative care over the past ten years and most recently during the COVID-19 pandemic, is one way to address the growing need for palliative care. Through the utilisation of a wide variety of public communication channels, telehealth can be employed for various primary healthcare goals. Telehealth is expected to be effective for conducting routine evaluations. reduced patient burden and missed appointments, as well as improved convenience and treatment of some chronic illnesses such as diabetes and hypertension. However, patients must get instruction and assistance in using this platform, with specific support made accessible for groups known to be at risk. Telehealth’s role in primary care needs further elaborated study. The purpose of this research is to review the available information about the impact of telehealth on palliative care and pain management in primary care.Primary health care focuses on the public's needs for a sustainable healthy existence without placing any financial burden on patients in order to ensure the highest degree of health and well-being and their equitable distribution. When pain management and palliative care are incorporated into primary healthcare, patients' quality of life and satisfaction improve. Palliative care includes supportive medical care for patients at any stage of disease with the goals of symptom relief, pain control, stress management, carer respite, and enhancing the quality of life. Globally, a wide range of technologies have been created to establish novel approaches to treating various chronic pain problems. Furthermore, utilising telehealth systems, which have been increasingly included in specialized palliative care over the past ten years and most recently during the COVID-19 pandemic, is one way to address the growing need for palliative care. Through the utilisation of a wide variety of public communication channels, telehealth can be employed for various primary healthcare goals. Telehealth is expected to be effective for conducting routine evaluations. reduced patient burden and missed appointments, as well as improved convenience and treatment of some chronic illnesses such as diabetes and hypertension. However, patients must get instruction and assistance in using this platform, with specific support made accessible for groups known to be at risk. Telehealth’s role in primary care needs further elaborated study. The purpose of this research is to review the available information about the impact of telehealth on palliative care and pain management in primary care.

A novel image encryption scheme based on compressive sensing, elliptic curves and a new jerk oscillator with multistability

Compression and encryption are the two main steps generally used to ensure fast and secure transmission of digital images over public communication channels. Among the existing crypto compression approaches, those based on compressive sensing and chaotic systems possess good potential. Unfortunately, the present literature presents some limits including speed issue, security issue and reconstruction problem. These problems are mainly due to the poor performances of the measurement matrix exploited. Note that in some cases these measurement matrices are obtained from chaotic sequences with very poor dynamics. To solve this problem, we proposed in this paper, a novel image encryption scheme based on 2D compressive sensing, elliptic curves and a new septic jerk oscillator with multistability. The proposed scheme adopts the compression before encryption topology to reduce the processing time and is divided into two main parts. The first part concerns image compression using compressive sensing. The input image data is divided into 4 blocks. Then, each block is compressed using 2D compressing sensing based on the measurements matrices generated using chaotic sequences coming from the novel septic jerk system. Next, the compressed blocks are combined to form the compressed image. In the second part, to strengthen the security, elliptic curve theory is used to construct a simple and secure S-box for digital image substitution. This S-box is combined with the septic chaotic solutions to change the pixel’s positions and values of the compressed image. The analysis of simulation test indicates that the proposed cipher has good compression effect, good reconstruction capability even for low compression ratio, is fast and highly secure compared to some recent schemes. As such the proposed work can be exploited to compress and secure data in Wireless Body Area Network (WBAN) applications.

An Efficient and Provably Secure Certificateless Protocol for Industrial Internet of Things

The Internet of Things (IoT) has a wide range of applications that influence the life of people expeditiously. In recent years, IoT becomes an emerging technology in a number of fields. Different devices with divergent functionality are applied in IoT to work in several domains. These domains include smart home, smart farming, and Industrial Internet of Things (IIoT). Among these territories, the IIoT obtains more attention. In an IIoT environment, a legitimate user can control and access devices remotely. Legitimate users can access real-time data and share confidential information. The information is transmitted via public communication channel, which can be vulnerable to security attacks. In this article, we present a provably secure multifactor authenticated key agreement scheme to offer security regarding transmission of data in IIoT environment. This scheme will support the legitimate user to remotely access the sensing devices. Our presented scheme uses only symmetric cryptographic, bitwise XOR operation, and hash function to be resource-constrained. Our scheme is found to be resource efficient through communication and computation analysis. The performance analysis illustrates that the cost of computation and communication of our scheme is comparatively low as compared to other relevant schemes. The formal and informal security analysis proved that our scheme is secure and efficient as it can withstand several known adversarial attacks. We have used some cryptographic operations like XOR and hashing to provide security and privacy to legitimate entities.