Cryptographic Approach Research Articles

Trends, prospects, challenges, and security in the healthcare internet of things

The Healthcare Internet of Things (H-IoT) is a rapidly developing problem solving model with significant potential to improve patient care and healthcare outcomes. This study focuses on integrating cryptographic platforms into H-IoT systems to enable secure data access. We present insights on how to manage challenges such as cyber risks, resource constraints, latency, and energy consumption by exploring cryptographic approaches in diverse H-IoT applications. We explore important topics including big data management, blockchain, machine learning, edge computing, and software-defined networks. Additionally, we examine real-time operational challenges and emerging trends, such as remote patient monitoring and predictive analytics. Our research underscores the need for strong encryption mechanisms, access controls, device authentication, and proactive threat detection to improve the safety and efficiency of healthcare services. By combining cryptographic approaches with the architecture of the H-IoT system, this work provides the foundation for resilient healthcare infrastructures. Addressing current challenges and anticipating future opportunities contribute to strategic healthcare planning that prioritizes patient privacy and data security while anticipating future strategic healthcare planning opportunities. This article aims to provide valuable information to researchers by covering energy-efficient and resource-optimized healthcare system approaches that are integrated into the development of H-IoT systems.

A Study on FPGA Implementation of Physical Unclonable Functions (PUFs)

Physical Unclonable Functions (PUFs) are emerging as a critical hardware security primitive, leveraging the inherent and irreproducible manufacturing variations of integrated circuits (ICs) to generate unique, device-specific responses. By mapping input challenges to output responses based on physical characteristics, PUFs provide a lightweight and cost-effective solution for secure authentication, key generation, and intellectual property protection. Unlike traditional cryptographic approaches, PUFs do not require secure memory to store keys, relying instead on the physical unpredictability of the hardware. PUFs are categorized into two main types: strong PUFs, which support many challenge-response pairs for authentication, and weak PUFs, optimized for generating cryptographic keys [1]. Prominent architecture includes Arbiter PUFs, Ring Oscillator PUFs, SRAM PUFs, and Butterfly PUFs, each tailored to specific application needs and hardware environments. Among these, Ring Oscillator PUFs are particularly notable for their ease of implementation and resilience against environmental variations, making them ideal for use in FPGAs and IoT devices. Despite their advantages, PUFs face challenges in reliability and resistance to attacks, including modeling and side-channel threats. Current research focuses on enhancing security by designing machine learningresistant PUFs, improving error correction mechanisms, and exploring quantum and nanotechnology-enhanced architectures. Furthermore, the integration of PUFs in resource-constrained devices such as IoT nodes necessitates lightweight and energy-efficient designs. The evolving landscape of PUFs highlights their potential to address emerging security concerns in diverse domains, including cryptographic protocols, secure key management, and device authentication. By combining low cost, high security, and scalability, PUFs represent a promising direction in the development of secure hardware solutions. Continued advancements in PUF technology will pave the way for their broader adoption in critical applications requiring robust and tamper-resistant security mechanisms. KEYWORDS: Physical Unclonable Functions (PUFs), Hardware Security, Delay-based PUFs, FPGA Implementations, Ring Oscillator PUFs

Security Analysis of Classical and Post-Quantum Blockchains

ABSTRACT In recent years, the emergence of quantum computing has created substantial problems to the security of cryptographic methods often utilized in blockchain technology. As quantum computers become more powerful, the possibility of them breaking classical cryptography algorithms such as ECDSA grows, forcing researchers to look for quantum-resistant alternatives. Post-quantum cryptographic algorithms, such as Falcon, have emerged as possible alternatives for long-term blockchain security. This study examines the performance and security of classical (ECDSA) and post-quantum (Falcon) blockchains under a variety of attack scenarios, including DDoS, replay, and Sybil attacks. Our research will evaluate the computational and resource needs of several cryptographic approaches, as well as examine how these infrastructures respond under various attack situations and emphasize the trade-offs between higher security and resource consumption. Our results show that, while post-quantum blockchains are more resistant to quantum computing threats, they need much more CPU and memory than their classical equivalents. This increased resource requirement affects scalability and efficiency, especially in high-load scenarios. Despite their resistance to quantum attacks, post-quantum blockchains are still vulnerable to traditional attack vectors, as demonstrated by the significant computing cost seen throughout our testing. These research results underscore the need of balanced blockchain systems that successfully handle the trade-offs between security and performance.

Systematic study on vulnerabilities, countermeasures and security analysis tools for cryptocurrencies and post quantum cryptographic approach to design quantum resistant blockchains

Blockchain and other Distributed Ledger Technologies (DLTs) have evolved significantly in the last years and their use has been suggested for numerous applications due to their ability to provide transparency, redundancy and accountability. Public key cryptography and hash functions provide security to blockchains, smart contracts and cryptocurrencies. Fast progress in Quantum computing presents significant threats to blockchain systems as it has leveraged possibility of attacking cryptosecurity systems in near future forcing re-design of blockchains to withstand quantum attacks and vulnerabilities. This article studies different types of vulnerabilities to blockchains, existing countermeasures for attacks and investigates causes and preventive mechanisms to make quantum resistant or quantum proof blockchains. Thus, this article seeks to provide a broad view on security analysis tools, quantum-based cryptosystems, signature schemes and algorithms on Post-Quantum Blockchain (PQB) security to future blockchain researchers and developers.

Secured Data Storage on the Cloud Using Hybrid Cryptography

With the growing reliance on cloud computing for data storage, ensuring the security and confidentiality of sensitive data has become paramount. Despite its advantages, cloud storage is susceptible to various security threats such as data breaches, unauthorized access, and insider threats. Traditional cryptographic techniques like symmetric and asymmetric cryptography offer a measure of security but have limitations when used independently. This paper proposes a hybrid cryptographic approach that combines the strengths of both symmetric and asymmetric cryptography, ensuring a robust solution for secured data storage in the cloud. The hybrid approach leverages the speed and efficiency of symmetric algorithms and the strong security features of asymmetric algorithms, making them both secure and efficient. This research explores various hybrid encryption techniques, discusses their security features, and demonstrates how they enhance data protection on cloud platforms

Comparative Analysis of Elliptic Curve-Based Cryptographic Approaches for Internet of Things Security

The rapid expansion of the Internet of Things (IoT) introduces significant security challenges, given the resource-constrained nature of most IoT devices. To address these challenges, elliptic curve cryptography (ECC) has emerged as a promising solution due to its ability to deliver high levels of security with shorter key lengths, making it highly efficient for devices with limited computational power and memory. This paper focuses on a comparative analysis of three widely used ECC-based cryptographic algorithms: Elliptic Curve Digital Signature Algorithm (ECDSA), Elliptic Curve Integrated Encryption Scheme (ECIES), and Elliptic Curve Diffie-Hellman (ECDH). Through a detailed evaluation of performance metrics such as key generation speed, execution time, and overall efficiency, the study identifies the strengths and limitations of each algorithm in securing IoT environments. The results reveal that ECDH excels in public key generation speed, making it suitable for applications requiring frequent key exchanges. ECDSA demonstrates the fastest overall execution time, providing an efficient option for digital signatures and authentication. Conversely, ECIES, while slower, offers robust encryption capabilities ideal for scenarios demanding enhanced confidentiality. This comparative study highlights the importance of aligning algorithm selection with specific IoT application requirements, balancing factors like security, performance, resource constraints, and operational complexity. The findings underscore the suitability of ECC-based algorithms in addressing the unique challenges of IoT security.

Optimizing Linked List-based Smart Contract on Ethereum with IPFS for E-book Management System

People are now widely adopting digital assets in various applications, integrating them into almost every aspect of their lives. Electronic books, or e-books, are one of the digital assets that result from the transformation of physical reading material into the digital world. Nowadays, blockchain is used in many industries because it provides immutable and transparent records. E-book publishers may take this opportunity to adopt blockchain technology for e-book data management. However, blockchain storage is limited; thus, storing the e-book files in blockchain is not recommended. A decentralized storage system, such as InterPlanetary Files Systems (IPFS), is an alternative way to store large files like e-books. IPFS can facilitate the storage of e-book files while the metadata is stored in the blockchain. The e-book metadata should be stored in a structured way for effective search and retrieval. E-book metadata could be added, deleted, and updated occasionally. Nevertheless, some data structures often struggle with dynamic collections of records. This paper proposes a linked list-based smart contract on Ethereum that integrates with IPFS for the e-book management system. We demonstrate the implementation of a linked list smart contract for insertion, deletion, update, retrieval, and traversal of the e-book’s metadata. The result shows that a linked list-based smart contract with IPFS could offer a robust solution for e-book data management. This solution provides more opportunities to explore further security and cryptography approaches toward a secure e-book management system.

A Review on Features and Techniques of Digital Data Security Using Elliptical Curve Based Cryptographic Approach

Digital world has increased the comfort by various means. Image in digital form is applicable in almost all field of technical and non-technical works. As image is use for the authentication, hence security of data is highly required. In this paper, Elliptical Curve based cryptographic approach has been discussed to provide security to digital images. Many security techniques of digital content proposed by researchers have been discussed for developing robustness. Different types of attacks, image features, and other additional assessment criteria of an image have been discussed for the analysis of digital image security.

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.

Securing AI Models: Cryptographic Approaches to Protect AI Algorithms and Data

Securing AI Models: Cryptographic Approaches to Protect AI Algorithms and Data

Selective Features Based Machine Learned Intrusion Detection Framework for Wireless Sensor Networks: A Need for Cryptographic Approach

Intruder attacks are a curse to wireless sensor network (WSN) nodes that affect their regular performance differently. The attacker cheats the cooperative characteristics of sensing elements pretending as a trustworthy node. Such intruders drastically degrade the WSN performance by affecting the sensing, collecting, processing, and transmitting capabilities of ideal nodes in the network. Due to their pretending behaviour, detecting such harmful nodes in the network is difficult since they are sometimes foes and other times friends. This paper introduces a selective feature-based machine-learning (SF-BML) framework that can detect an intruder node with a higher accuracy. The WSN-DS dataset constructed for four different attacks (Flooding, Blackhole, Grayhole, and Scheduling) is experimented with different feature attributes. The optimum features are found and tested for detection accuracy relating to all five categories. The experimental results using six significant features (SF) and a combination of eight other semi-significant features (SSF) showed that the normal-attacker node's detection accuracy increases with increasing features up to fourteen. The maximum training and test accuracy using fourteen features for the support vector machine (SVM) was 99.17% and 99.00% respectively.

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.

Enhanced Image Encryption Scheme for Securing Iris Template using a Novel Hybrid Fractional Fourier DRPE

Security becomes more and more necessary as a result of the significant advancements in computers and communications as well as the widespread use of electronic media, particularly in organizations where information is increasingly vital. Earlier methods, like traditional cryptography, employ encryption keys, which are lengthy bit strings that are extremely difficult to memorize. Additionally, it is easily attackable utilizing the brute force attack method. Since biometric traits are always changing and ever-living, biometrics—such as voice, fingerprints, and iris—provide a unique means of identifying an individual and a safe stream cipher in place of more conventional cryptographic approaches. Information security is becoming more and more necessary as information technology advances. The biometric-based encryption technology has advanced quickly to meet demands for increased convenience and security. Among them, iris technology has grown in importance as a subject of study for information security researchers because of the constancy of iris traits and their difficulty being copied. In this paper, the iris portion is extracted from the eye and a novel encryption technique which is a hybrid combination optical cryptography and Fast Fourier transformation is presented. The Idea behind the technique is to extract the iris by means of novel encryption technique. After encryption process, the decryption is performed. The common iris database MMU and IITD is used to conduct the simulation experiment. The results demonstrate that the technique may significantly increase the security of the encryption and decryption process as well as the consistency of iris encryption.

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.