Design of Hash Algorithm for Blockchain Security

Davda, Yatri

doi:10.4018/978-1-6684-6247-8.ch007

Cited by 2 publications

(2 citation statements)

References 32 publications

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“…A SHA function, like SHA-256 in Bitcoin, is used to generate this hash. It is computationally impossible to tamper with blockchain data without being detected because of SHA functions, which guarantee that each change to the data being hashed produces an entirely different hash value [31,32].…”

Section: Literature Reviewmentioning

confidence: 99%

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Enhancing blockchain security: a novel approach to integrated malware defence mechanisms

Sharma,

Upadhyay,

Sharma

2024

Eng. Res. Express

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This paper introduces a novel integrated hybrid malware attack detection algorithm, focusing on enhancing cybersecurity within blockchain systems by addressing the prevalent challenges of Byzantine fault tolerance, Reentrancy, and DDOS attacks.The significance of this research lies in its contribution to safeguarding blockchain technology, a cornerstone for secure,decentralized digital transactions, against sophisticated malware threats. Current cybersecurity solutions frequently fall short of offering a complete defense mechanism, making it difficult to effectively combat a variety of dynamic malware attacks atthe same time. Thus, the main objective of this research is to provide a hybrid framework that combines DDOS attack prevention, reentrancy attack detection, and Byzantine fault tolerance detection into a single, cohesive architecture. Theproposed hybrid framework encompasses a detailed algorithmic approach integrating SHA-256 and DSA to analyze theaforementioned three malware attacks. A hybrid model combining these algorithms, implemented in one block, has been developed to mitigate malicious activity. These measures aim to improve computational complexity and expedite execution within the network of nodes. To test the efficacy of the proposed framework, the approach is tested on the NSL-KDD dataset to analyze the malicious activities. The performance analysis of the proposed frameworks presents a recall and F1 score of .73 and .68 respectively. Furthermore, for efficient mitigation, the time and space complexity analysis are performed on proposed algorithms for attack analysis, which resulted in a combination of constant and linear time complexity operations. The findings reveal that the proposed algorithm successfully identifies and mitigates the targeted malware attacks and maintains optimal performance in terms of time and space complexity. This research's contribution to the cybersecurity field is significant, offering a robust, scalable solution that enhances the resilience of blockchain networks against a broad spectrum of malware attacks.

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Section: Literature Reviewmentioning

confidence: 99%

“…A lot of work has been done in literature, where authors have explored SHA and DSA for creating a secured blockchain infrastructure [28][29][30][31][32]. Table 3 summarizes the work focusing on implementing SHA and DSA.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing blockchain security: a novel approach to integrated malware defence mechanisms

Sharma,

Upadhyay,

Sharma

2024

Eng. Res. Express

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Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and Challenges

Lei

Liu

et al. 2022

Foods

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Concern about food safety has become a hot topic, and numerous researchers have come up with various effective solutions. To ensure the safety of food and avoid financial loss, it is important to improve the safety of food information in addition to the quality of food. Additionally, protecting the privacy and security of food can increase food harvests from a technological perspective, reduce industrial pollution, mitigate environmental impacts, and obtain healthier and safer food. Therefore, food traceability is one of the most effective methods available. Collecting and analyzing key information on food traceability, as well as related technology needs, can improve the efficiency of the traceability chain and provide important insights for managers. Technology solutions, such as the Internet of Things (IoT), Artificial Intelligence (AI), Privacy Preservation (PP), and Blockchain (BC), are proposed for food monitoring, traceability, and analysis of collected data, as well as intelligent decision-making, to support the selection of the best solution. However, research on the integration of these technologies is still lacking, especially in the integration of PP with food traceability. To this end, the study provides a systematic review of the use of PP technology in food traceability and identifies the security needs at each stage of food traceability in terms of data flow and technology. Then, the work related to food safety traceability is fully discussed, particularly with regard to the benefits of PP integration. Finally, current developments in the limitations of food traceability are discussed, and some possible suggestions for the adoption of integrated technologies are made.

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Design of Hash Algorithm for Blockchain Security

Cited by 2 publications

References 32 publications

Enhancing blockchain security: a novel approach to integrated malware defence mechanisms

Enhancing blockchain security: a novel approach to integrated malware defence mechanisms

Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and Challenges

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