Abstract
Autonomic computing requires reliable coordination between different systems. The unexpected behavior of any component may endanger the performance of the overall system. For this reason, it is necessary to prevent and detect this type of situations and to develop methods to react accordingly and to mitigate the possible consequences. In this work, we present an analysis of the vulnerability of a distributed model predictive control (DMPC) scheme in the context of cybersecurity. We consider different types of so-called insider attacks. In particular, we consider the presence of a malicious controller that broadcasts false information to manipulate costs for its own benefit. Also, we propose a mechanism to protect or, at least, relieve the consequences of the attack in a typical DMPC negotiation procedure. More specifically, a consensus approach that dismisses the extreme control actions is presented as a way to protect the distributed system from potential threats. Simulations are carried out to illustrate both the consequences of the attacks and the defense mechanisms.
Original language | English |
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Title of host publication | Proceedings of the 2017 IEEE International Conference on Autonomic Computing (ICAC 2017) |
Editors | Xiaorui Wang, Christopher Stewart, Hui Lei |
Place of Publication | Piscataway, NJ, USA |
Publisher | IEEE |
Pages | 215-220 |
ISBN (Print) | 978-1-5386-1761-8 |
DOIs | |
Publication status | Published - 2017 |
Event | ICAC 2017: 14th International Conference on Autonomic Computing - Columbus, United States Duration: 17 Jul 2017 → 21 Jul 2017 |
Conference
Conference | ICAC 2017: 14th International Conference on Autonomic Computing |
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Country/Territory | United States |
City | Columbus |
Period | 17/07/17 → 21/07/17 |
Keywords
- Computer security
- Couplings
- Cost function
- Reliability
- Process control
- Computational modeling