Improving the Hardware Security of Wireless Sensor Network Systems by Using Soft Computing

Abstract

Hardware security is a critical concern for organizations that use information systems to protect their assets from unauthorized access and malicious attacks. Hardware security assessment involves evaluating the security of hardware components and systems to identify vulnerabilities and areas for improvement. This research paper proposes a framework for hardware security assessment using the Analytic Hierarchy Process (AHP) approach. The proposed framework is applied in a case study to evaluate the security of a wireless sensor network (WSN) system. Based on this calculation with respect to each alternative, the author finds that Hardware encryption obtained the highest final weighted score (0.555), which would be the preferred choice according to the AHP method for improving the security of the hardware of WSN. Based on the obtained weight, authors assign the ranks S1<S3<S2 <S4. The results show that the proposed methodology can effectively identify better security algorithms and prioritize actions to improve the security of the WSN system.

Description

Advancements in Artificial Intelligence and Machine Learning Editors: Asif Khan, Mohammad Kamrul Hasan, Naushad Varish & Mohammed Aslam Husain

Keywords

AHP, Hardware, Malicious attacks, Soft computing, Security, WSN

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