Detection of biasing attacks on distributed estimation networks

@article{Deghat2016DetectionOB,
  title={Detection of biasing attacks on distributed estimation networks},
  author={Mohammad Deghat and Valery A. Ugrinovskii and Iman Shames and C{\'e}dric Langbort},
  journal={2016 IEEE 55th Conference on Decision and Control (CDC)},
  year={2016},
  pages={2134-2139}
}
The paper addresses the problem of detecting attacks on distributed estimator networks that aim to intentionally bias process estimates produced by the network. It provides a sufficient condition, in terms of the feasibility of certain linear matrix inequalities, which guarantees distributed input attack detection using an H∞ approach. 

From This Paper

Figures, tables, and topics from this paper.
6 Citations
21 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 21 references

and K

  • A. Teixeira, I. Shames, H. Sandberg
  • H. Johansson . A secure control framework for…
  • 2015
Highly Influential
4 Excerpts

DistributedH∞ consensus-based estimation of uncertain systems via dissipativity theory

  • V. Ugrinovskii, C. Langbort
  • IET Control Theory & App., 5(12):1458–1469
  • 2011
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…