A framework for intrusion detection system in advanced metering infrastructure

Author:

Beigi Mohammadi Nasim1,Mišić Jelena1,Mišić Vojislav B.1,Khazaei Hamzeh2

Affiliation:

1. Department of Computer Science; Ryerson University; Toronto ON M5B 2K3 Canada

2. Department of Computer Science; University of Manitoba; Winnipeg MB R3T 2N2 Canada

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Collaborative Intelligent Intrusion Response Framework for Smart Electrical Power and Energy Systems;Proceedings of the 17th International Conference on Availability, Reliability and Security;2022-08-23

2. Detecting DDoS Attacks Using Polyscale Analysis and Deep Learning;Research Anthology on Smart Grid and Microgrid Development;2022

3. The Capability of Wavelet Convolutional Neural Network for Detecting Cyber Attack of Distributed Denial of Service in Smart Grid;2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2021-12-17

4. Detecting DDoS Attacks Using an Adaptive-Wavelet Convolutional Neural Network;2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2021-09-12

5. Intrusion Detection Systems in RPL-Based 6LoWPAN: A Systematic Literature Review;IEEE Sensors Journal;2021-06-01

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