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Article type: Research Article
Authors: Qasim, Awaisa; * | Bilal, Muhammadb | Munawar, Adeelc; d | Rehman Baig, Shuja Ure
Affiliations: [a] Department of Computer Science, Government College University, Lahore, Pakistan | [b] Department of Software Engineering, University of Management and Technology, Lahore, Pakistan | [c] Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand | [d] Department of Computer Science, Lahore Garrison University, Lahore, Pakistan | [e] Punjab University College of Information Technology, Lahore, Pakistan
Correspondence: [*] Corresponding author: Awais Qasim, Department of Computer Science, Government College University, Lahore, Pakistan. E-mail: [email protected].
Abstract: Security and protection of the data is the core objective of every organization, but since cyber-attacks got more advanced than ever before, the data is compromised more often, resulting in financial loss, life loss, or privacy breaches as its consequences. There must be a system that can deal with the increasing number of cyber-attacks in flight operations, which are increasing in numbers and sophistication. Since we know that the traditional intrusion detection system is not capable enough to protect the data and as many human lives are at stake in flight operations, an unfortunate data corruption attack could give rise to a catastrophe. In this paper, we proposed a blockchain-based intrusion detection system for flight operations framework to protect the data’s privacy and avoid data corruption in flight operations. Blockchain not only protects data from corruption but also circumvents the challenges faced by intrusion detection systems which include trust and consensus building between different nodes in a network that can enhance the capability of the intrusion detection system.
Keywords: Intrusion detection, blockchain, intelligent agent-based, flight operations, multi-agent systems
DOI: 10.3233/MGS-240017
Journal: Multiagent and Grid Systems, vol. 20, no. 2, pp. 161-183, 2024
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