Message Integrity Research Articles

Design and Implementation of Innovative Statistically Secured Hash Algorithm using Decentralized Hash Function

Information technology is in high demand today due to the expanding global use of the internet for information sharing. Every user wants to secure communication over a public network and to confirm the accuracy of their data. Hash algorithms are used to translate the fixed-length hash code from the input message, which is used to verify the integrity of the input message or any information exchanged through the web. Numerous hash algorithms are proposed by researchers but many algorithms use high consumption time during hash function processing time and they are using centralized hash function processing. Therefore we are designing an Innovative hash algorithm to generate a 96-bit hash code using a decentralized hash function.

An Analysis of Grammatical Cohesian on Barack Obama Speech: Discourse Analysis

This qualitative research study explores the types of grammatical cohesiveness frequently used in utterances, focusing on the relationship between theory and research as proposed by Halliday and Hasan (1976). The research data is derived from former President Barack Obama's farewell speech, available on The Obama White House YouTube channel since January 11, 2017. The primary objective is to examine the presence and usage of ellipsis, reference, conjunction, and substitution in Obama's speech. Data collection employed an observational approach, with researchers watching and listening to the speech while taking notes. The analysis process involved understanding the context and categorizing the data based on Halliday and Hasan's theoretical framework, with findings presented using descriptive statistics. The study identified significant occurrences of grammatical cohesiveness, including 15 references, 10 substitutions, 4 conjunctions, and 9 ellipses in Obama's speech. These cohesive elements are instrumental in ensuring effective communication and message integration, enabling the audience to follow the speech seamlessly. By investigating grammatical cohesiveness in Obama's farewell address, this research contributes to the understanding of how theory and research interact within language use and highlights the importance of cohesive linguistic elements in conveying messages effectively.

Message Authentication Scheme on Light Weight Parallel Encryption Model With Digit Artithmetic of Covertext using Secure Hash Algorithm

This research aims to enhance message security by developing a Light Weight Parallel Digit Arithmetic of Covertext (PDAC) encryption-based authentication scheme that adopts the Secure Hash Algorithm (SHA) algorithm to ensure message integrity and authentication aspects. Through experiments, tests are conducted on two main aspects: entropy and collision resistance. The experimental results show that the average entropy generated reaches 4.992, or 62.41% of the optimal entropy value. While this result shows a good randomness, there is room for further improvement to reach the optimal level. Collision resistance testing using Google's SHAttered tool showed very positive results. No collisions were found in any of the samples tested, indicating that the PDAC scheme combined with SHA can maintain message integrity well. This indicates that PDAC has strong resistance to hash-based attacks, ensuring that messages remain authentic and safe from manipulation. Thus, this study concludes that PDAC schemes offer a good balance between efficiency, security, and low power consumption, making it suitable for use in resource-constrained environments such as IoT devices and mobile applications

Linguistic Secret Sharing via Ambiguous Token Selection for IoT Security

The proliferation of Internet of Things (IoT) devices has introduced significant security challenges, including weak authentication, insufficient data protection, and firmware vulnerabilities. To address these issues, we propose a linguistic secret sharing scheme tailored for IoT applications. This scheme leverages neural networks to embed private data within texts transmitted by IoT devices, using an ambiguous token selection algorithm that maintains the textual integrity of the cover messages. Our approach eliminates the need to share additional information for accurate data extraction while also enhancing security through a secret sharing mechanism. Experimental results demonstrate that the proposed scheme achieves approximately 50% accuracy in detecting steganographic text across two steganalysis networks. Additionally, the generated steganographic text preserves the semantic information of the cover text, evidenced by a BERT score of 0.948. This indicates that the proposed scheme performs well in terms of security.

Escrow-free and efficient dynamic anonymous privacy-preserving batch verifiable authentication scheme for VANETs

To enhance road safety, Vehicular Ad-hoc Networks (VANETs) facilitate the exchange of safety-critical messages between smart vehicles and road traffic authorities. However, VANET’s wireless channels are prone to several attacks, such as replay or modification. Therefore, to protect the links, robust authentication and message integrity mechanisms are required. Previously, several robust authentication schemes have been devised. However, those designs often struggle with complex certificate management, the key escrow problem, and the necessity for secure channels to establish user keys. Additionally, prior methods rely on pseudonyms to ensure user privacy. To implement it, several pseudonyms are stored in the vehicle’s device, which burdens the device. To overcome these limitations, this study introduces an efficient and escrow-free dynamic anonymous authentication scheme tailored for VANETs. By utilizing the paradigm of certificate-based cryptography and fuzzy identity generation, the proposed design eliminates the limitations. Through rigorous security analysis, the proposed design’s effectiveness against various threats is demonstrated. Furthermore, a detailed performance analysis, including computational and communication cost comparisons, showcases the scheme’s feasibility for VANET deployment. An NS-3 simulation further confirms the suitability of the proposed scheme for real-world VANET communication scenarios.

CHAM-CLAS: A Certificateless Aggregate Signature Scheme with Chameleon Hashing-Based Identity Authentication for VANETs

Vehicular ad hoc networks (VANETs), which are the backbone of intelligent transportation systems (ITSs), facilitate critical data exchanges between vehicles. This necessitates secure transmission, which requires guarantees of message availability, integrity, source authenticity, and user privacy. Moreover, the traceability of network participants is essential as it deters malicious actors and allows lawful authorities to identify message senders for accountability. This introduces a challenge: balancing privacy with traceability. Conditional privacy-preserving authentication (CPPA) schemes are designed to mitigate this conflict. CPPA schemes utilize cryptographic protocols, including certificate-based schemes, group signatures, identity-based schemes, and certificateless schemes. Due to the critical time constraints in VANETs, efficient batch verification techniques are crucial. Combining certificateless schemes with batch verification leads to certificateless aggregate signature (CLAS) schemes. In this paper, cryptanalysis of Xiong’s CLAS scheme revealed its vulnerabilities to partial key replacement and identity replacement attacks, alongside mathematical errors in the batch verification process. Our proposed CLAS scheme remedies these issues by incorporating an identity authentication module that leverages chameleon hashing within elliptic curve cryptography (CHAM-CLAS). The signature and verification modules are also redesigned to address the identified vulnerabilities in Xiong’s scheme. Additionally, we implemented the small exponents test within the batch verification module to achieve Type III security. While this enhances security, it introduces a slight performance trade-off. Our scheme has been subjected to formal security and performance analyses to ensure robustness.

Efficient message authentication scheme with forward and backward security in Vehicle Cloud Network towards sustainable smart city

The Vehicular Cloud Network (VCN) serves as a crucial component of Intelligent Transportation Systems (ITS), playing an instrumental role in the development of sustainable smart cities. It merges the benefits of both Vehicular Ad Hoc Networks (VANET) and cloud computing. However, VCN faces significant security challenges due to the complexity of communication, the dynamic nature of the environment, and the privacy concerns of data. To address the issues of message security and privacy preservation in VCN, this paper introduces an identity-based key-insulated ring signature (ID-KIRS) scheme for VCN message authentication. Our scheme integrates a secure key update function to address key exposure issues, providing both forward and backward security. The security analysis confirms that our scheme ensures message integrity, unconditional anonymity, and unforgeability. The performance evaluation clearly demonstrates our scheme is efficient, and applicable to vehicle congestion situations, especially car accident scenarios.

A QoS Analysis of SHA Algorithms for IoT Systems

Secure Hash Algorithms (SHA) are widely used in the Internet of Things (IoT) systems for message authentication and integrity verification. However, the performance of different SHA algorithms can vary significantly in terms of Quality of Service (QoS) metrics such as area utilization, processing speed, energy efficiency, and security. In this paper, we present a comprehensive analysis of the QoS parameters of various SHA algorithms and discuss the trade-offs between performance and security when selecting SHA algorithms for resource-constrained IoT devices. The study focuses on the hardware implementation of SHA algorithms in Field-Programmable Gate Array (FPGA) devices, which are commonly used in IoT applications. The performances and resource utilization of different SHA algorithms are compared and analyzed. The comparative results show that SHA-2 provide a good balance between performance and security, but SHA-3 provide better security due to its resistance to attacks such as length extension and collision

Developing Catchment Area Data Dashboards for Cancer Centers: A Stakeholder- engaged Approach.

Data dashboards that can communicate complex and diverse catchment area data effectively can transform cancer prevention and care delivery and strengthen community engagement efforts. Engaging stakeholders in data dashboard development, by seeking their inputs and collecting feedback, has the potential to maximize user-centeredness. To describe a systematic, stakeholder-driven, and theory-based approach for developing catchment area data visualization tools for cancer centers. Cancer-relevant catchment area data were identified from national- and state-level data sources (including cancer registries, national surveys, and administrative claims databases). A prototype tool for data visualization was designed, developed, and tested based on the OPT-In [ O rganize, P lan, T est, In tegrate] framework. A working group of multi-disciplinary experts collected stakeholder feedback through formative assessment to understand data and design preferences. Thematic areas, data elements, and the composition and placement of data visuals in the prototype were identified and refined by working group members. Visualizations were rendered in Tableau © and embedded in a public-facing website. A mixed-method approach was used to assess the understandability and actionability of the tool and to collect open-ended feedback that informed action items for improvisation. We developed a visualization dashboard that illustrates cancer incidence and mortality, risk factor prevalence, healthcare access, and social determinants of health for the Hollings Cancer Center catchment area. Color-coded maps, time-series plots, and graphs illustrate these catchment area data. A total of 21 participants representing key stakeholders [general audience (n=4), community advisory board members and other representatives (n=7), and researchers (n=10)] were identified. The understandability and actionability scores exceeded the minimum (80%) threshold. Stakeholders' feedback confirmed that the tool is effective in communicating cancer data and is useful for education and advocacy. Themes that emerged from qualitative data suggest that additional changes to the tool such as a warm color palette, data source transparency, and the addition of analytical features (data overlaying and area-resolution selection) would further enhance the tool. Integration of communication efforts and messages within a broader context is in progress. A catchment area data resource developed through a systematic, stakeholder- driven, and theory-based approach can meet (and surpass) benchmarks for understandability and actionability, and lead to an overall positive response from stakeholders. Creating channels for advocacy and forming community partnerships will be the next step necessary to promote policies and programs for improving cancer outcomes in the catchment areas.

A TYPE OF POST–QUANTUM CRYPTOGRAPHIC ALGORITHM

The article proposes a type of post–quantum cryptographic algorithm based on hash function and One–Time Pad cipher. Due to inheriting a property called “perfect secrecy” of the One-Time Pad cipher, the algorithms constructed according to the method proposed here can resist various types of attacks with the help of quantum computers. In addition to high security, algorithms of this type also have the ability to authenticate the origin and integrity of the encrypted messages. On the other hand, the one-time key for encryption/decryption is established for each individual message while the management and distribution of the shared secret key between the sender/encryptor and receiver/decryptor is performed similar to symmetric – key cryptosystems being applied in practice.

Main Primitive and Cryptography Tools for Authentication in VANET Environment: Literature Review

Vehicular ad hoc networks (VANETs) provide the potential to improve transportation efficiency by facilitating the sharing of traffic information among vehicles. Acceptance of VANET depends on communication speed and accuracy as well as privacy protection guaranteeing an individual's safety. Vehicle authentication is necessary to ensure message correctness. This necessitates the implementation of an effective privacy-preserving authentication scheme, as well as the need for both secrecy and timebound delivery of messages. Various privacy-preserving authentication schemes have been suggested to guarantee the integrity of messages in communications. However, most of the schemes are not able to solve issues related to computing costs, communication, security, privacy, threats, and vulnerabilities. In this review, we focus on cryptographic strategies that are suggested to accomplish privacy and authentication, such as identity-based, public key cryptography-based, pseudonym-based, and blockchain-based schemes. We provide a thorough analysis of schemes, including their categorizations, advantages, and drawbacks. The study demonstrates that the majority of current authentication techniques necessitate trusted authorities that lack transparency in their operations. Additionally, authentication process incurs substantial computational and communication overhead, leading to a considerable impact on the timely delivery of messages. More efforts are required to enhance the development of efficient authentication schemes in VANETs.

Securing Data Exchange with Elliptic Curve Cryptography: A Novel Hash-Based Method for Message Mapping and Integrity Assurance

To ensure the security of sensitive data, elliptic curve cryptography (ECC) is adopted as an asymmetric method that balances security and efficiency. Nevertheless, embedding messages into elliptic curve (EC) points poses a significant challenge. The intricacies of this process can greatly affect the overall security and efficiency of the cryptosystem, reflecting security vulnerabilities observed in many existing schemes that utilize ElGamal ECC-based encryption. In this paper, we introduce an innovative hash-based technique for securely embedding messages into EC points before encryption. A random parameter and a shared secret point generated through the EC Diffie–Hellman protocol are used to bolster the scheme’s security. The security of the proposed method is evaluated against various attack models; moreover, the complexity, and sensitivity of the encryption scheme, as well as its inputs, are analyzed. The randomness assessment of the ciphertext was performed using the NIST statistical test suite. Additionally, we propose a mechanism to ensure the integrity of the message by securely appending a tag to the ciphertext. As a consequence, a comprehensive analysis of our scheme demonstrates its effectiveness in maintaining data security and integrity against various attack models. The algorithm also meets more criteria such as the strict avalanche criterion, linear complexity, and operability.

Authentication of fragments with short tags

We present a scheme that uses short tags to protect the integrity of fragmented messages transmitted from a sender to a receiver, and analyse the communication and computation overheads of the scheme. The security of this integrity-protection scheme is based on three new theoretical cryptographic results that could be interesting in their own right.

THE USE OF MESSENGER CHATS IN STATE AND MUNICIPAL ADMINISTRATION: PROBLEMS AND PROSPECTS OF LEGAL REGULATION

Currently, communication technologies play a key role in public administration. With the development of mobile devices and messengers, the use of chats is becoming an increasingly popular tool for information exchange and coordination of activities. The purpose of the study is to consider some problematic aspects of the use of digital methods of communication by public authorities on the example of messenger chats. Materials and methods. The research was based on general scientific methods of cognition: observation, analysis, synthesis, description, generalization, comparison and others. On the basis of content analysis, comparative and systematic approaches, the use of chats in state and municipal management was investigated. The work also used system-wide scientific methods of theoretical and empirical research, as well as specific methods that made it possible to substantiate the results obtained. Sociological methods were used to study the opinions of chat users, as well as of experts and scientists. Private scientific methods, such as comparative-legal, formal-legal, statistical and structural-functional ones, were used for the study. This made it possible to identify trends, to formulate conclusions, and to offer recommendations for solving a number of issues in problem areas. Results. The obvious advantages of using messenger chats have led to their widespread use in the practice of state and municipal administration: speeding up decision-making processes, simplifying coordination, improving coordination of actions within the department and in interdepartmental interaction, increasing the quality of feedback between the state and citizens, etc. Despite the significant prospects of using messengers to improve the efficiency of communication and the quality of public and municipal services provided, to promote the development of the digital state, it is necessary to take into account the risks and problems: the use of personal mobile devices by employees; identification of the administrator and users; the possibility of deleting messages completely; legal consequences of messages sent via chat; protection of personal data; security and the integrity of messages transmitted via chat, etc. Conclusions. Some of the issues related to the use of messenger chats in the practice of state and municipal administration can be resolved by the adoption of departmental or local acts regulating the rules for the use of such chats, message monitoring, administrator powers, business etiquette, etc. In modern realities, it is important to conceptually revise approaches to document management, document flow and the concept of "document", taking into account the introduction and widespread use of digital innovations.

Design of an Encryption Chat Application Based on ChaCha20-Poly1305

This study introduces the meticulous design and development of a chat application fortified with the robust ChaCha20-Poly1305 encryption algorithm. The selected cryptographic algorithm is renowned for its efficacy in ensuring top-notch security. In our application, ChaCha20 serves as the backbone for stream encryption, ensuring that the message content remains confidential and impenetrable to eavesdroppers. Simultaneously, Poly1305, an esteemed message authentication code, guarantees the integrity and authenticity of each chat message. It ensures that the messages sent are genuine and have not been tampered with during transit. Together, the integration of these two components constructs a fortified wall against potential security breaches, safeguarding user communications. This not only instills confidence in users regarding the privacy of their conversations but also sets a benchmark in chat application security. The overarching aim is to offer an impeccable blend of user-friendly experience and top-tier security, revolutionizing the way secure communications are perceived and utilized.

Leveraging Machine Learning to Develop Digital Engagement Phenotypes of Users in a Digital Diabetes Prevention Program: Evaluation Study.

Digital diabetes prevention programs (dDPPs) are effective "digital prescriptions" but have high attrition rates and program noncompletion. To address this, we developed a personalized automatic messaging system (PAMS) that leverages SMS text messaging and data integration into clinical workflows to increase dDPP engagement via enhanced patient-provider communication. Preliminary data showed positive results. However, further investigation is needed to determine how to optimize the tailoring of support technology such as PAMS based on a user's preferences to boost their dDPP engagement. This study evaluates leveraging machine learning (ML) to develop digital engagement phenotypes of dDPP users and assess ML's accuracy in predicting engagement with dDPP activities. This research will be used in a PAMS optimization process to improve PAMS personalization by incorporating engagement prediction and digital phenotyping. This study aims (1) to prove the feasibility of using dDPP user-collected data to build an ML model that predicts engagement and contributes to identifying digital engagement phenotypes, (2) to describe methods for developing ML models with dDPP data sets and present preliminary results, and (3) to present preliminary data on user profiling based on ML model outputs. Using the gradient-boosted forest model, we predicted engagement in 4 dDPP individual activities (physical activity, lessons, social activity, and weigh-ins) and general activity (engagement in any activity) based on previous short- and long-term activity in the app. The area under the receiver operating characteristic curve, the area under the precision-recall curve, and the Brier score metrics determined the performance of the model. Shapley values reflected the feature importance of the models and determined what variables informed user profiling through latent profile analysis. We developed 2 models using weekly and daily DPP data sets (328,821 and 704,242 records, respectively), which yielded predictive accuracies above 90%. Although both models were highly accurate, the daily model better fitted our research plan because it predicted daily changes in individual activities, which was crucial for creating the "digital phenotypes." To better understand the variables contributing to the model predictor, we calculated the Shapley values for both models to identify the features with the highest contribution to model fit; engagement with any activity in the dDPP in the last 7 days had the most predictive power. We profiled users with latent profile analysis after 2 weeks of engagement (Bayesian information criterion=-3222.46) with the dDPP and identified 6 profiles of users, including those with high engagement, minimal engagement, and attrition. Preliminary results demonstrate that applying ML methods with predicting power is an acceptable mechanism to tailor and optimize messaging interventions to support patient engagement and adherence to digital prescriptions. The results enable future optimization of our existing messaging platform and expansion of this methodology to other clinical domains. ClinicalTrials.gov NCT04773834; https://www.clinicaltrials.gov/ct2/show/NCT04773834. RR2-10.2196/26750.

Signcryption with Matrix Modification of RSA Digital Signature Scheme and Cayley-Purser Algorithm


 The sender must ensure the security of messages and authenticated messages in messaging communications. Additionally, the sender must guarantee the message's integrity and cannot deny its authenticity or involvement with the message. This aspect is more robust because the recipient can verify, ensuring that the message originates from an authorized sender. In addition to this crucial aspect, the Signcryption method employing the Matrix Modification of RSA Digital Signature Scheme and the Cayley-Purser Algorithm can accomplish both of the objectives of this study. Encrypt-then-sign is the Signcryption method used, and the MD5 hash function performs one-way hashing during the signing procedure to enhance message security. This study tested the message plaintext in the form of a collection of strings consisting of uppercase (capital), lowercase (small), numbers (numeric), and other punctuation characters with varying numbers of characters in each string, as well as the value of modulus n from 10 digits up to its maximum length, which is unconstrained. The test results indicate that the time required for encryption and decryption is proportional to the number of plaintext characters used.

FCA-VBN: Fog computing-based authentication scheme for 5G-assisted vehicular blockchain network

Emerging technology known as intelligent transportation systems allows for seamless two-way communication between moving vehicles and stationary infrastructure. Therefore, core security services in a vehicular network consist of encrypting and trusting information packets for intra- and inter-vehicle systems. However, conventional reconciliation methods incur high communication costs and security risks, and channel imperfection causes important extraction disparities. For a 5G-enabled vehicular blockchain network, we suggested a novel fog computing-based authentication approach for the 5G-assisted vehicular blockchain network (FCA-VBN) scheme, which incorporated fog computing and secure authentication to address these issues. The FCA-VBN scheme employs a channel stage response instituted private key extraction technique for terminal key agreement. Using the blockchain’s immutability and memorability, the novelty of this paper is that it shows how the intelligent contract could be utilized to build and issue the link among the fog server and the node’s data through a transaction. When it comes to message authenticity and integrity, conditional privacy protection, and unlinkability, we demonstrated that the proposed FCA-VBN system is safe and secure. We also spoke about how resistant the method is to various assaults. Ultimately, we theoretically analyzed the suggested FCA-VBN scheme’s achievement on a wide range of metrics, such as computation and communication costs and power usage, to arrive at a comprehensive evaluation.

Experimental quantum e-commerce.

E-commerce, a type of trading that occurs at a high frequency on the internet, requires guaranteeing the integrity, authentication, and nonrepudiation of messages through long distance. As current e-commerce schemes are vulnerable to computational attacks, quantum cryptography, ensuring information-theoretic security against adversary's repudiation and forgery, provides a solution to this problem. However, quantum solutions generally have much lower performance compared to classical ones. Besides, when considering imperfect devices, the performance of quantum schemes exhibits a notable decline. Here, we demonstrate the whole e-commerce process of involving the signing of a contract and payment among three parties by proposing a quantum e-commerce scheme, which shows resistance of attacks from imperfect devices. Results show that with a maximum attenuation of 25 dB among participants, our scheme can achieve a signature rate of 0.82 times per second for an agreement size of approximately 0.428 megabit. This proposed scheme presents a promising solution for providing information-theoretic security for e-commerce.

Satellite Navigation Message Authentication in GNSS: Research on Message Scheduler for SBAS L1.

SBAS is mainly used in civil aviation and navigation, and will be applied to autonomous driving in the future. Given the open signal format of the Satellite Based Augmentation System (SBAS), which exposes security threats such as spoofing attacks, the utilization of SBAS navigation message authentication technology can improve the SBAS anti-spoofing ability from the system side. SBAS message authentication technology has become the future direction of SBAS system development. However, during the initial design of SBAS on L1, message authentication technology was not considered, and the addition of authentication messages will lead to further strain on existing message bandwidth resources. Therefore, in response to the issue of insufficient bandwidth resources after adding authentication messages to SBAS L1, a study on message scheduler for SBAS L1 authentication was conducted. A fixed time sequence dynamic message scheduler for incorporating authentication messages was proposed. This scheduler reduces the frequency of broadcasting clock error parameters to mitigate the impact of adding authentication messages. Furthermore, an optimized fixed time sequence dynamic message scheduler based on SBAS clock error messages was introduced. The results show that the message scheduler can not only improve the flexibility of SBAS message broadcasting, but also shorten the update interval of various types of messages under the premise of meeting the maximum update interval requirement. With minimal impact on the maximum message update interval, it improves the integrity, authenticity, and availability of messages. This approach can increase the effective message ratio in SBAS to over 91%, and the optimal solution reduces the initial user positioning time to 26 s.