Cryptographic Approach Research Articles

A Unification of Fog-Cloud Computing for Data Agitation and Guard Intensification in Industrial Health Care Security

The development of Fog computing is a decentralized environment in which the data processing, storage and applications are processed between the located server in a cloud environment. By increasing the Internet of things (IoT) and remote storage, the communication in cloud become more sophisticated by processing the data safely and securely. Healthcare data is important which contains medical information and processed centrality in the public environment through IoT, due to increasing security breaches they need to protect depends on the security applicants. All over the centralized data computing are accessed by virtual environment through remote protocol doesn’t provide safety in healthcare industry. To resolve this problem, to propose as Unification of fog-cloud computing for data agitation and guard intensification (DA-GI) in Industrial Health Care Security. The Medical Data Health-Care (MDHC) records are stored in Cloud datacenters and the Fog layer based on the guard intensity and the key is provoked for ingress the file. The activity logs are controlled and monitoring from cloud serves sustains the Activity Log, Risk Table and Health Records. To introduce a cryptographic approach based on advanced encryption standards (AES) to protect data and authenticity verification server. The key verification process based on security gateway, Fog cloud server depends on user access rights provided to the user. During the key validation, role of permission to the user s verified and agitate to allow access rights to the verified service access. The proposed system produce high security compared to the other system as well in all security concerns of role, authentication and verification to process data safely.

Securing Data Transmission from Adversaries in Cybersecurity WSN Using Efficient Key Management Techniques

Concern over cyber security is becoming more and more prevalent in today's international politics. National security is now evaluated not only in terms of military might or economic might, but also in terms of technological innovation. The fact that today's society is heavily dependent on computer communication and control systems, which opens up infinite opportunities, shows how important technology is in the national security area. By effectively changing the keys, the suggested work aimed to provide WSN with complicated security solutions that would ensure data integrity, security, and genuine transmission for many additional network operations through structured cryptography approaches. The study's protective measures can be applied to a variety of WSN configurations, including heterogeneous WSNs with and without mobility aid and static homogeneous WSNs. Because WSN is more limited to hardware resources, not all applications can be protected using the same method.

An Intelligent Cryptographic Approach for Preserving the Privacy and Security of Smart Home IoT Applications

Background: Today, computer networks are everywhere, and we utilize the Internet to access our home network. IoT networks connect home appliances and provide remote instructions. Access to any tool over an uncertain network attracts assaults. User authentication might be password- or biometric-based. Data security across a secure network like the Internet is difficult when authenticating a device. Hashing is used for validation and confidentiality in several encryption and decryption schemes. Classic cryptographic security methods require a lot of memory, processing power, and power. They cannot work with low-resource IoT devices. Methods: Automatic Device-to-Device communiqué opens up new applications, yet network machines and devices have limited resources. A remote-access home device authentication mechanism is proposed in this research. A new, lightweight encryption approach based on Deoxyribonucleic- Acid (DNA) sequences is developed to make IoT device connections easy and secure. Home network and appliance controller devices use authentication tools. DNA sequences are random therefore we utilized them to create a secure secret key. Results: Efficiency and strength are advantages of the proposed method. Our method prevents replay, server spoofing, and man-in-the-middle attacks. The suggested method protects network users and devices. Conclusion: Meanwhile, we model the system and find that the network's delay, throughput, and energy consumption don't degrade considerably.

Image Steganography based on Fernet Symmetric Encryption and Odd-Even Pixel Modification

The combination of steganography and cryptographic approaches for information concealing has piqued the curiosity of numerous researchers. We also integrate those two methods in our research. Using Fernet symmetric encryption and odd-even pixel alteration, this research presents a novel method for image steganography that distributes the data equally throughout the image. To create a stego image, the sender uses a password to encrypt a secret message embedded into an image's red channel. The stego image resembles the original cover image, while the underlying secret data is concealed from human view. The main goals of the system—encryption, consistent data concealing, and message retrieval—were all successfully met. Before integrating the secret data into the image, it can be easily and successfully secured using symmetric encryption using the Fernet cipher. By adding another layer of security to the system, the password feature makes it harder for unauthorized users to access hidden data. By altering image pixels according to whether they are odd or even, the odd-even pixel modification-based steganography approach makes it possible to conceal data. Based on the experiment's results, it can be concluded that this approach embeds concise messages with a high visual quality.

E-SAFE: A secure and efficient access control scheme with attribute convergence and user revocation in fog enhanced IoT for E-Health

The growth of IoT led to a surge in connected devices and data production in the medical field. Therefore, to meet the rising demand for modern healthcare services, Fog and Cloud services come as a rescue for IoT-based equipment. As data travels through several levels, providing security to such data is challenging. The CP-ABE cryptographic approach allows for efficient access control. However, none of the known cryptographic CP-ABE approaches that provide granular access control offers the following features: attribute convergence, privileged access, user revocation, and outsourcing capabilities altogether. Thus, we present e-SAFE, a CP-ABE approach which addresses all these issues. In addition, in e-SAFE, the data users with resource-constrained medical gadgets must save just a constant and small-size decryption key on their gadgets. According to our assessment of security and performance, e-SAFE is found to be a secure and efficient access control technique for IoT gadgets.

New Quantum Private Comparison Using Bell States.

Quantum private comparison (QPC) represents a cryptographic approach that enables two parties to determine whether their confidential data are equivalent, without disclosing the actual values. Most existing QPC protocols utilizing single photons or Bell states are considered highly feasible, but they suffer from inefficiency. To address this issue, we present a novel QPC protocol that capitalizes on the entanglement property of Bell states and local operations to meet the requirements of efficiency. In the proposed protocol, two participants with private inputs perform local operations on shared Bell states received from a semi-honest third party (STP). Afterward, the modified qubits are returned to the STP, who can then determine the equality of the private inputs and relay the results to the participants. A simulation on the IBM Quantum Cloud Platform confirmed the feasibility of our protocol, and a security analysis further demonstrated that the STP and both participants were unable to learn anything about the individual private inputs. In comparison to other QPC protocols, our proposed solution offers superior performance in terms of efficiency.

Multi-level authentication for security in cloud using improved quantum key distribution

ABSTRACT Cloud computing is an on-demand virtual-based technology to develop, configure, and modify applications online through the internet. It enables the users to handle various operations such as storage, back-up, and recovery of data, data analysis, delivery of software applications, implementation of new services and applications, hosting websites and blogs, and streaming of audio and video files. Thereby, it provides us many benefits although it is backlashed due to problems related to cloud security like data leakage, data loss, cyber attacks, etc. To address the security concerns, researchers have developed a variety of authentication mechanisms. This means that the authentication procedure used in the suggested method is multi-levelled. As a result, a better QKD method is offered to strengthen cloud security against different types of security risks. Key generation for enhanced QKD is based on the ABE public key cryptography approach. Here, an approach named CPABE is used in improved QKD. The Improved QKD scored the reduced KCA attack ratings of 0.3193, this is superior to CMMLA (0.7915), CPABE (0.8916), AES (0.5277), Blowfish (0.6144), and ECC (0.4287), accordingly. Finally, this multi-level authentication using an improved QKD approach is analysed under various measures and validates the enhancement over the state-of-the-art models

Secure transmission cryptographic approach for remote-sensing image based on discrete memristor-coupled Rulkov neuron map and TIMG

Secure transmission cryptographic approach for remote-sensing image based on discrete memristor-coupled Rulkov neuron map and TIMG

PQCAIE: Post quantum cryptographic authentication scheme for IoT-based e-health systems

The increasing integration of Internet of Things (IoT) technologies in consumer electronics has revolutionized various sectors, including healthcare. This evolution has led to the development of IoT-enabled consumer health devices and systems, offering benefits such as enhanced remote health monitoring and more efficient health data management. However, these advancements also pose significant security challenges, especially regarding data privacy and secure access. A critical concern is the vulnerability of current cryptographic methods to potential future quantum computing capabilities. This paper focuses on addressing these challenges by exploring the implementation of Post-Quantum Cryptography (PQC) in IoT-based consumer health electronics. Specifically, it evaluates the application of PQC methods in conjunction with Transport Layer Security 1.3 (TLS 1.3) for robust authentication in these systems. The study analyzes the performance and security efficacy of these schemes, comparing them to existing cryptographic approaches. Additionally, it delves into the practical hurdles and prospective solutions related to the deployment of post-quantum cryptographic techniques in the context of consumer health electronics, paving the way for more secure and reliable healthcare technology in the era of advanced consumer electronics.

Novel design of cryptographic architecture of nanorouter using quantum-dot cellular automata nanotechnology

The article introduces a revolutionary Nanorouter structure, which is a crucial component in the Nano communication regime. To complete the connection, many key properties of Nanorouters are investigated and merged. QCA circuits with better speed and reduced power dissipation aid in meeting internet standards. Cryptography based on QCA design methodologies is a novel concept in digital circuit design. Data security in nano-communication is crucial in data transmission and reception; hence, cryptographic approaches are necessary. The data entering the input line is encrypted by an encoder, and then sent to the designated output line, where it is decoded and transferred. The Nanorouter is offered as a data path selector, and the proposed study analyses the cell count of QCA and the circuit delay. In this manuscript, novel designs of (4:1)) Mux and (1:4) Demux designs are utilized to implement the proposed nanorouter design. The proposed (4:1) Mux design requires 3–5% fewer cell counts and 20–25% fewer area, and the propsoed (1:4) Demux designs require 75–80% fewer cell counts and 90–95% fewer area compared to their latest counterparts. The QCAPro utility is used to analyse the power consumption of several components that make up the router. QCADesigner 2.0.3 is used to validate the simulation results and output validity.

Research on Various Cryptography Techniques

Cryptography is utilized to make secure data transmission over networks. The algorithm called for cryptography should meet the conditions of authentication, confidentiality, integrity and non-repudiation. Cryptography is a technique used from decenniums to secure and forfend the information and send the data from one place to another without the trepidation of having been read out by some unauthorized and unauthenticated denotes. Several ways has been developed in this field to make the information more secure and evade trespassing. However these methods may have some loopholes or shortcoming which leads to the leakage of information and thus raising a question of information security. The cryptographic technique is utilized not only to provide the security but additionally it deals with data integrity, confidentiality and non-repudiation issues. To safeguard data during transmission or storage, sundry algorithms and methods have been developed in the field of security. A wide range of cryptography approaches are employed, each with its own set of strengths and inhibitions that are acclimated to provide data security. Cryptography can be defined as techniques that cipher data, depending on categorical algorithms that make the data unreadable to the human ocular perceiver unless decrypted by algorithms that are predefined by the sender. It encrypts data utilizing a set of algorithms such as symmetric and asymmetric algorithms. These encryption methods vary in terms of vitality, celerity, and utilization of resources (CPU utilization, recollection, and power). It is utilized to bulwark personal identifiable information (PII) and other confidential data, authenticate identities, avert document tampering, and build trust between servers. Cryptography is one of the most paramount techniques utilized by digital businesses to safeguard the systems that store their most valuable asset – data – whether it is at rest or in kinetic Customer PII, employee PII, perspicacious property, company strategies, and any other confidential information are examples of data. As a result, cryptography is a vital infrastructure, as the aegis of sensitive data increasingly relies on cryptographic solutions. In this paper I have discussed various cryptographic techniques and the inhibitions of those techniques as well. Some cryptographic algorithms are briefly described and their impact on the information is additionally mentioned.

Secure Data in the Cloud with a Robust Hybrid Cryptographic Approach

Cloud security combines hybrid symmetric encryption and key management to protect user privacy. Our approach can be easily scaled to meet growing cloud data security needs. Cloud computing's basic tenet is resource sharing, which is used for data storage, analysis, and management. Since many people use cloud services and are spread out across the internet, they present many security risks. Hybrid clouds, which can be accessed from anywhere, provide numerous advantages. The security solution (infrastructure as a service) is compatible with many PaaS, SaaS, and even IaaS cloud services. Furthermore, it is consistent with the vast majority of existing cloud solutions. Cloud computing security can be strengthened by using hybrid public key cryptosystems. Concerns about data security have made many businesses wary of cloud computing. The study aims to secure cloud computing by combining the Rabin and Rivest-Shamir-Adleman (RSA) cryptographic models. Analyzing how well a combination of methods generates secure encryption and decryption keys for data. The pure RSA system has longer response times and requires fewer computations compared to the hybrid system.

Hybrid Cryptographic Approach for Data Security Using Elliptic Curve Cryptography for IoT

The Internet of Things (IoT) technology has changed the contemporary digital world. Devices connected to the IoT have sensors embedded within them. All these devices are purposely connected to share data among them through the Internet. Data sharing among IoT devices needs some security protocols to maintain the privacy and confidentiality of information. IoT devices have less computing power to perform various operations of a cryptographic process. So, there is a need of cryptographic approach to reduce the computational complexity for resource-constrained devices and provide data security. However, storing data over the cloud server also reduces storage overhead, but data transmission via the cloud is not always secure. Data integrity and authentication can be compromised because the end user can only access the data with the help of a cloud server. To ensure the security and integrity of the data, various cryptographic techniques are used. Therefore, in this paper, we propose a secure and optimized hybrid cryptographic scheme for the secure sharing of data by combining Advanced Encryption Standard (AES) and Elliptic Curve Cryptography (ECC). To ensure authentication and data integrity, the proposed scheme primarily uses the Message Authentication Code (MAC). The encrypted messages are stored on a cloud server to reduce storage overhead. The experimental findings demonstrate that the proposed scheme is effective and produces superior results as compared to existing approaches.

NDN Security: Cryptographic Approaches for Safeguarding Content-Centric Networking against Threats

The future of the internet demands innovative approaches to communication paradigms and security mechanisms. Named Data Networking (NDN) introduces a ground breaking data-centric communication paradigm, shifting the focus from host-centric networking to efficient content retrieval. This novel framework relies on the dynamic interplay of Interest and Data packets to enable seamless content dissemination and caching. NDN's security framework, built upon digital keys, certificates, and trust policies, ensures the integrity and confidentiality of data transactions within its ecosystem. Cryptographic keys exchanged in real-time through Interest and Data packets, forming the bedrock of secure interactions within NDN. This dynamic key exchange mechanism bolsters security and facilitates controlled data generation. Certificates play a pivotal role in establishing trust, solidifying the connection between names and public keys, while trust policies align with application-defined guidelines to govern key-data entity associations. This paper delves into the security challenges that NDN effectively addresses. By investigating vulnerabilities and assessing the susceptibility of common attacks, it underscores the resolute defense mechanisms inherent in the NDN framework. The inherently anonymous and non-identifying nature of NDN renders eavesdropping and traffic analysis infeasible, bolstering confidentiality. Digital signatures provide robust data integrity, thwarting any attempts at unauthorized modification. The comprehensive data signing mechanism effectively prevents masquerade attacks, and the integration of unique naming and nonce in Interest packets averts replay attacks. In essence, this research not only sheds light on the essential security components of NDN but also illuminates how this paradigm addresses a multitude of security challenges. NDN's forward-thinking content-centric approach and its robust security mechanisms hold the potential to reshape networking paradigms. As we look to the future of the internet, NDN stands as a promising contender for advancing secure, efficient, and transformative networking models.

Blockchain-Enabled Intelligent IoT Protocol for High-Performance and Secured Big Financial Data Transaction

In the recent era, the communication network with the support of many wireless technologies is giving benefits for remote access. Such a communication model increases the flexibility for data storage with the management of network resources efficiently with the integration of the Internet of Things (IoT). Although, the industrial Internet of Things (IIoT) has enabled the development of numerous machine learning-based solutions to provide real-time applications. However, most of the solutions are not prepared to cope with heterogeneous services and the huge amount of device data in the digital world. Furthermore, conducting financial transactions over the Internet raises several security issues. Such restrictions compromise the sensitive data of financial institutions and also degrade the trust of network users in the system. Thus, this article presents a secured blockchain model for high-performance computing in a big data environment, which aims to protect the business activities for financial interaction with intelligent services of software-defined network (SDN) architecture. First, to keep the security credentials, the SDN controller creates an association between the IoT devices and maintains local and global records. Second, the machine learning approach is explored using reliable and fault-tolerant methods to support the network scalability and extract the updated routing information for transmitting financial data. The proposed protocol also provides data integrity with a high level of network availability and copes with the financial security of big data by investigating cryptographic approaches. Our proposed protocol is tested using simulation, and various experiments are performed to show its efficacy in terms of network throughput, computing overhead, data delay, response time, and dropped packets as compared to tunicate swarm algorithm-based optimized routing mechanism (TORM) and RouteChain.

An In-Depth Analysis on Efficiency and Vulnerabilities on a Cloud-Based Searchable Symmetric Encryption Solution

Searchable Symmetric Encryption (SSE) has come to be as an integral cryptographic approach in a world where digital privacy is essential. The capacity to search through encrypted data whilst maintaining its integrity meets the most important demand for security and confidentiality in a society that is increasingly dependent on cloud-based services and data storage. SSE offers efficient processing of queries over encrypted datasets, allowing entities to comply with data privacy rules while preserving database usability. Our research goes into this need, concentrating on the development and thorough testing of an SSE system based on Curtmola’s architecture and employing Advanced Encryption Standard (AES) in Cypher Block Chaining (CBC) mode. A primary goal of the research is to conduct a thorough evaluation of the security and performance of the system. In order to assess search performance, a variety of database settings were extensively tested, and the system's security was tested by simulating intricate threat scenarios such as count attacks and leakage abuse. The efficiency of operation and cryptographic robustness of the SSE system are critically examined by these reviews.

Quantum Shield For IoT: Enhancing Bluetooth Security with a Novel Hybrid Encryption Algorithm

Bluetooth communication enables effective data sharing for a wide range of applications, from audio streaming to IoT devices, boosting user ease and productivity. Bluetooth security difficulties stem from flaws in encryption mechanisms, which could allow unauthorized access or data interception. Current flaws include vulnerability to eavesdropping and device spoofing, emphasizing the need for improved security measures. The hybrid encryption technique suggested in this paper is a tribute to unprecedented innovation in Bluetooth security. It pioneers a multi-layered approach to data protection by seamlessly integrating AES, Blowfish, RSA, and SHA-256. This algorithm not only answers current security concerns, but it also teaches how to use cryptographic approaches strategically. Furthermore, its prudent use of RSA, which minimizes computing overhead, demonstrates a forward-thinking approach to combining security and efficiency. The algorithm's astounding great accuracy after multiple tests demonstrates its practical practicality, confirming its potential to transform Bluetooth security procedures. This effort establishes a new cryptographic standard, altering the landscape of wireless communication security.

Intrusion detection system for controller area network

The rapid expansion of intra-vehicle networks has increased the number of threats to such networks. Most modern vehicles implement various physical and data-link layer technologies. Vehicles are becoming increasingly autonomous and connected. Controller area network (CAN) is a serial bus system that is used to connect sensors and controllers (electronic control units—ECUs) within a vehicle. ECUs vary widely in processing power, storage, memory, and connectivity. The goal of this research is to design, implement, and test an efficient and effective intrusion detection system for intra-vehicle CANs. Classic cryptographic approaches are resource-intensive and increase processing delay, thereby not meeting CAN latency requirements. There is a need for a system that is capable of detecting intrusions in almost real-time with minimal resources. Our research proposes a long short-term memory (LSTM) network to detect anomalies and a decision engine to detect intrusions by using multiple contextual parameters. We have tested our anomaly detection algorithm and our decision engine using data from real automobiles. We present the results of our experiments and analyze our findings. After detailed evaluation of our system, we believe that we have designed a vehicle security solution that meets all the outlined requirements and goals.

Secure AI Model Sharing: A Cryptographic Approach for Encrypted Model Exchange

Secure AI Model Sharing: A Cryptographic Approach for Encrypted Model Exchange

Стандартизація еліптичних кривих: аналіз та впровадження в криптографічні протоколи

The purpose of the article is to consider the current state of elliptic cryptography, the prerequisites for its use, as well as the requirements of modern standards related to the use of elliptic cryptography The use of elliptic curves in cryptography is considered one of the most promising areas of development of modern security algorithms. This mathematical approach is based on the complexity of solving the discrete logarithm problem in a group of points of an elliptic curve over a finite field. The use of cryptography on elliptic curves allows you to ensure the security of data exchange using effective encryption algorithms and the creation of digital signatures (DI). This study examines elliptic curves for cryptographic purposes, and provides basic operations on the point group of elliptic curves. Special attention is paid to Elliptic curve Diffie-Hellman (ECDH) and Elliptic Curve Digital Signature Algorithm (ECDSA) key exchange algorithms. The standards regulating the use of elliptic curves in cryptographic systems are also analyzed, and the advantages of this cryptographic paradigm compared to the main asymmetric algorithms are considered. Potential threats and vulnerabilities of cryptographic algorithms based on elliptic curves are investigated. Examples of popular standardized curves recommended by relevant organizations, such as NIST, used in real-world cryptographic applications are also provided. Elliptic curve cryptography (ECC) is currently one of the foundations for the development of modern public-key cryptographic algorithms. ECC has gained recognition in cryptography for providing a high level of security with shorter key lengths (compared to other cryptographic approaches), high speed, resource savings, and versatility, giving it an advantage over other methods such as RSA and others. It provides a secure network connection, generates secret keys for TLS servers and their clients, and is also used to create digital signatures that guarantee the authenticity of transactions in cryptocurrency systems.