Implementing Fuzzy Analytical Hierarchy Process (FAHP) To Measure Malicious Behaviour of Codes In Smart Meter

• Published in: 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) pp. 90 - 94
• Main Authors: Mahbub, Tasmima Noushiba, Hossain, Syed Sadia, Akash, Rakib Ahmad, Reza, S M Salim, Tasnim, Zarin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 05.01.2021
• Subjects: Analytic hierarchy process; Computer crime; fuzzy analytical hierarchy process; fuzzy scale of relative importance; linguistic scale; linguistic variable; malware rating system; pairwise comparison matrix; Real-time systems; Robots; Signal processing; Smart meter; Smart meters; Systematics; triangular fuzzy scale
• ISBN: 9781665415743; 1665415746
• DOI: 10.1109/ICREST51555.2021.9331027

Smart meter is a unique metering system that provides users the capability to monitor power generation, transmission and consumption by enhancing the maintenance of real-time supervision and communication. By hacking and breaching the meter, faulty data can be transferred to the utility by the hacker. The power consumption data stored in a smart meter can be spoofed by two different hacking mechanisms. They are: Communication Interface Attack and Physical Memory Attack. In this paper, the malicious behaviour of a specific set of code is measured implementing fuzzy analytical hierarchy process. Analytical hierarchy process is engaged in the formation and inspecting of sophisticated issues by mathematical calculations. This scheme considers the relative priorities of factors or alternatives with a systematic and logical approach and serves the best alternative. Fuzzy theory has been incorporated into traditional AHP method for selecting and justifying alternatives in a systematic way.