Decentralized controller for software interconnected system subject to malicious attacks

• Autorzy: Kishore Pushkar , Barisal Swadhin Kumar , Mohapatra Durga Prasad

Identyfikatory

DOI

10.15439/2021F90

• Konferencja: Federated Conference on Computer Science and Information Systems (16 ; 02-05.09.2021 ; online)
• Języki publikacji: EN

Abstrakty

EN

This paper examines the decentralized controller for a software interconnected system subject to malicious attack. The security of software interconnected system (SIS) subject to malicious attacks is discussed using Event-Triggered Mechanism (ETM). We design a novel ETM with decentralized feedback for managing resources and keeping system stable during attacks. We use Numenta-Hierarchical Temporal Memory (N-HTM) for monitoring the ETM values. Numerical simulation of service provider system is considered for illustrating our model's effectiveness. Experiments reveal that our model stabilizes system after an average of 2s from the launch of last attack. Average consumption of the resources is reduced by 70%.

Słowa kluczowe

EN

decentralized control; software interconnected systems; event-triggered control; numenta-hierarchical temporal memory

PL

zdecentralizowana kontrola; systemy połączone programowo; sterowanie wyzwalane zdarzeniami; liczbowo-hierarchiczna pamięć czasowa

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2021
• Tom: Vol. 26
• Strony: 211--218
• Opis fizyczny: Bibliogr. 14 poz., wz., tab., wykr.

Twórcy

autor

Kishore Pushkar

• Dept. of C.S.E. NIT Rourkela Odisha, India

autor

Barisal Swadhin Kumar

• Dept. of C.S.E., NIT Rourkela
• S‘O’A Deemed to be University, Odisha, India

autor

Mohapatra Durga Prasad

• Dept. of C.S.E. NIT Rourkela Odisha, India

Bibliografia

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• 5. K. Wang, E. Tian, J. Liu, L. Wei, and D. Yue, “Resilient control of networked control systems under deception attacks: a memory-event-triggered communication scheme,” International Journal of Robust and Nonlinear Control, vol. 30, no. 4, pp. 1534-1548, 2020. http://dx.doi.org/10.1002/rnc.4837
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• 9. E. Tian, Z. Wang, L. Zou, and D. Yue, “Probabilistic-constrained filtering for a class of nonlinear systems with improved static event-triggered communication,” International Journal of Robust and Nonlinear Control, vol. 29, no. 5, pp. 1484-1498, 2019. http://dx.doi.org/10.1002/rnc.4447
• 10. S. Ahmad, A. Lavin, S. Purdy, and Z. Agha, “Unsupervised real-time anomaly detection for streaming data,” Neurocomputing, vol. 262, pp. 134-147, 2017. [Online]. Available: https://doi.org/10.1016/j.neucom.2017.04.070
• 11. Z. Gu, J. H. Park, D. Yue, Z.-G. Wu, and X. Xie, “Event-triggered security output feedback control for networked interconnected systems subject to cyber-attacks,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020. http://dx.doi.org/10.1109/tsmc.2019.2960115
• 12. H. Liang, Y. Zhang, T. Huang, and H. Ma, “Prescribed performance cooperative control for multiagent systems with input quantization,” IEEE Transactions on cybernetics, vol. 50, no. 5, pp. 1810-1819, 2019. http://dx.doi.org/10.1109/tcyb.2019.2893645
• 13. Y. Tang, D. Zhang, D. W. Ho, W. Yang, and B. Wang, “Event-based tracking control of mobile robot with denial-of-service attacks,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 9, pp. 3300-3310, 2018. http://dx.doi.org/10.1109/tsmc.2018.2875793
• 14. P. Kishore, S. K. Barisal, and D. P. Mohapatra, “An incremental malware detection model for meta-feature api and system call sequence,” in 2020 15th Conference on Computer Science and Information Systems (FedCSIS). IEEE, 2020. http://dx.doi.org/10.15439/2020f73 pp. 629-638.

Uwagi

1. Track 4: Software, System and Service Engineering

2. Session: Joint 41st IEEE Software Engineering Workshop and 8th International Workshop on Cyber-Physical Systems

3. Communication papers