Machine Learning-Based Attack Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1302-8_7
Reference11 articles.
1. Akbarian F, Ramezani A, Hamidi-Beheshti M-T, Haghighat V (2020) Advanced algorithm to detect stealthy cyber attacks on automatic generation control in smart grid. IET Cyber Phys Syst Theory Appl 5(4):351–358
2. Ameli A, Hooshyar A, Yazdavar AH, El-Saadany EF, Youssef A (2018) Attack detection for load frequency control systems using stochastic unknown input estimators. IEEE Trans Inf Forensics Secur 13(10):2575–2590
3. Bi W, Chen C, Zhang K (2019a) Optimal strategy of attack-defense interaction over load frequency control considering incomplete information. IEEE Access 7:75342–75349
4. Bi W, Zhang K, Li Y, Yuan K, Wang Y (2019b) Detection scheme against cyber-physical attacks on load frequency control based on dynamic characteristics analysis. IEEE Syst J 13(3):2859–2868
5. Chen C, Zhang K, Yuan K, Zhu L, Qian M (2018) Novel detection scheme design considering cyber attacks on load frequency control. IEEE Trans Ind Inf 14(5):1932–1941
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