Open Access

ARTICLE

A Secure Framework for Blockchain Transactions Protection

Wafaa N. Al-Sharu^1,*, Majdi K. Qabalin², Muawya Naser², Omar A. Saraerh¹

1 Department of Electrical Engineering, Faculty of Engineering, The Hashemite University, Zarqa, 13133, Jordan
2 Department of Computer Science, King Hussein School of Computing Sciences, Princess Sumaya University for Technology, Amman, 11941, Jordan

* Corresponding Author: Wafaa N. Al-Sharu. Email:

Computer Systems Science and Engineering 2023, 45(2), 1095-1111. https://doi.org/10.32604/csse.2023.032862

Received 31 May 2022; Accepted 05 July 2022; Issue published 03 November 2022

Abstract

One of the most extensively used technologies for improving the security of IoT devices is blockchain technology. It is a new technology that can be utilized to boost the security. It is a decentralized peer-to-peer network with no central authority. Multiple nodes on the network mine or verify the data recorded on the Blockchain. It is a distributed ledger that may be used to keep track of transactions between several parties. No one can tamper with the data on the blockchain since it is unchangeable. Because the blocks are connected by hashes, the transaction data is safe. It is managed by a system that is based on the consensus of network users rather than a central authority. The immutability and tamper-proof nature of blockchain security is based on asymmetric cryptography and hashing. Furthermore, Blockchain has an immutable and tamper-proof smart contract, which is a logic that enforces the Blockchain’s laws. There is a conflict between the privacy protection needs of cyber-security threat intelligent (CTI) sharing and the necessity to establish a comprehensive attack chain during blockchain transactions. This paper presents a blockchain-based data sharing paradigm that protects the privacy of CTI sharing parties while also preventing unlawful sharing and ensuring the benefit of legitimate sharing parties. It builds a full attack chain using encrypted threat intelligence and exploits the blockchain’s backtracking capacity to finish the decryption of the threat source in the attack chain. Smart contracts are also used to send automatic early warning replies to possible attack targets. Simulation tests are used to verify the feasibility and efficacy of the suggested model.

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Keywords

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