Review of Security Methods Based on Classical Cryptography and Quantum Cryptography

Subramani, Shalini; Selvi, M.; Kannan, A.; SVN, Santhosh Kumar

doi:10.1080/01969722.2023.2166261

Cited by 25 publications

(6 citation statements)

References 39 publications

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“…Quantum computers have the potential to break many of the current cryptographic schemes that rely on the difficulty of certain mathematical problems [35]. Quantum cryptography aims to develop new cryptographic schemes that are resistant to attacks by quantum computers [36].…”

Section: Quantum Cryptographymentioning

confidence: 99%

Perspective Chapter: Cryptography – Recent Advances and Research Perspectives

Tarawneh

2024

Biometrics and Cryptography

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Cryptography is considered as a branch of both mathematics and computer science, and it is related closely to information security. This chapter explores the earliest known cryptographic methods, including the scytale, Caesar cipher, substitution ciphers, and transposition ciphers. Also, explains the evolution of these methods over time. The development of symmetric and asymmetric key cryptography, hash functions, and digital signatures is also discussed. The chapter highlights major historical events and technological advancements that have driven the need for stronger and more efficient encryption methods. In addition, the chapter explores the potential for integrating artificial intelligence tools with cryptographic algorithms and the future of encryption technology.

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Section: Quantum Cryptographymentioning

confidence: 99%

Perspective Chapter: Cryptography – Recent Advances and Research Perspectives

Tarawneh

2024

Biometrics and Cryptography

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“…This solid structure ensures openness and safety, two features that are vital enabling transactions without confidence in many fields, including supply chain management and banking. Quantum computers' immense processing capabilities have spurred the creation of encryption techniques referred to as afterwards quantum cryptography (Subramani et al 2023). The research emphasizes the importance of adopting cryptographic methods that are secure against quantum computing in order to ensure the security and integrity of block chain networks.…”

Section: Introductionmentioning

confidence: 99%

Impact of Post Quantum Digital Signatures On Block Chain: Comparative Analysis

Javaid,

Ashraf,

Rehman

et al. 2024

ABBDM

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The emergence of quantum computing poses a substantial risk to the security of block chain technology, requiring a transition to post-quantum cryptography (PQC) to protect the future integrity and security of block chain systems. This study provides a comprehensive assessment of integrating post-quantum digital signatures into block chain frameworks, aiming to mitigate quantum vulnerabilities while maintaining the reliability, scalability, and integrity of block chain applications. A comprehensive evaluation is conducted to assess the efficacy of post-quantum signature algorithms recommended by NIST in comparison to conventional cryptographic benchmarks like ECDSA. The evaluation primarily centers on the speed of transaction processing, network scalability, and the overall upgrade of security. The results indicate that enhancing block chain systems to counter quantum attacks is intricate. Nevertheless, it is a crucial measure in guaranteeing block chain applications’ enduring security and dependability amidst the ever-changing technical risks. The findings of our analysis indicate that the adoption of post-quantum signatures poses significant technical and operational challenges. However, it also offers opportunities to strengthen the resilience of block chain systems against quantum threats, drive advancements in secure digital transactions, and establish a new benchmark for cryptographic practices in the era of quantum computing. This study provides significant insights and ideas for developers and politicians interested in developing and administering secure, quantum-resistant block chain networks, contributing to the critical conversation on preparing block chain technology for a post-quantum future.

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“…Detection of malevolent nodes [4], that can compromise network security by engaging in malicious activities including eavesdropping [5], tampering with data [6], and launching denial-of-service attacks [7], is one of the primary issues in trust management for IoT networks [8]. Numerous trust management strategies, including reputation-based systems [9], cryptographic methods [10], and machine learning-based methods, have been proposed as solutions to these research challenges.…”

Section: Introductionmentioning

confidence: 99%

Securing IoT With Deep Federated Learning: A Trust-Based Malicious Node Identification Approach

et al. 2023

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The Internet of Things (IoT) has revolutionized the world with its diverse applications and smart connected devices. These IoT devices communicate with each other without human intervention and make life easier in many ways. However, the independence of these devices raises several significant concerns, such as security and privacy preservation due to malicious and compromised nodes within the network. Trust management has been introduced as a less computationally intensive alternative to traditional approaches such as cryptography. The proposed FedTrust approach addresses these challenges by designing a method for identifying malicious and compromised nodes using federated learning. FedTrust trains edge nodes with a provided dataset and forms a global model to predict the abnormal behavior of IoT nodes. The proposed approach utilizes a novel trust dataset consisting of 19 trust parameters from three major components: knowledge, experience, and reputation. To reduce the computational burden, FedTrust employs the concept of communities with dedicated servers to divide the dataset into smaller parts for more efficient training. The proposed approach is extensively evaluated in comparison to existing approaches in terms of accuracy, precision, and other metrics to validate its performance in IoT networks. Simulation results demonstrate the effectiveness of FedTrust by achieving a higher rate of detection and prediction of malicious and compromised nodes.

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Review of Security Methods Based on Classical Cryptography and Quantum Cryptography

Cited by 25 publications

References 39 publications

Perspective Chapter: Cryptography – Recent Advances and Research Perspectives

Perspective Chapter: Cryptography – Recent Advances and Research Perspectives

Impact of Post Quantum Digital Signatures On Block Chain: Comparative Analysis

Securing IoT With Deep Federated Learning: A Trust-Based Malicious Node Identification Approach

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