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- Yilin Mo, Bruno Sinopoli
- 2009 47th Annual Allerton Conference on…
- 2009

This paper analyzes the effect of replay attacks on a control system. We assume an attacker wishes to disrupt the operation of a control system in steady state. In order to inject an exogenous control input without being detected the attacker will hijack the sensors, observe and record their readings for a certain amount of time and repeat them afterwards… (More)

- Yilin Mo, Tiffany Hyun-Jin Kim, +4 authors Bruno Sinopoli
- Proceedings of the IEEE
- 2012

| It is often appealing to assume that existing solutions can be directly applied to emerging engineering domains. Unfortunately, careful investigation of the unique challenges presented by new domains exposes its idiosyncrasies, thus often requiring new approaches and solutions. In this paper, we argue that the Bsmart[ grid, replacing its incredibly… (More)

- Yilin Mo, Bruno Sinopoli
- 2010

In [1], Sinopoli et al. analyze the problem of optimal estimation for linear Gaussian systems where packets containing observations are dropped according to an i.i.d. Bernoulli process, modeling a memoryless erasure channel. In this case the authors show that the Kalman Filter is still the optimal estimator, although boundedness of the error depends… (More)

- Yilin Mo, Bruno Sinopoli
- 2010

This paper analyzes the effects of false data injection attacks on Control System. We assume that the system, equipped with a Kalman filter and LQG controller, is used to monitor and control a discrete linear time invariant Gaussian system. We further assume that the system is equipped with a failure detector. An attacker wishes to destabilize the system by… (More)

- Yilin Mo, Bruno Sinopoli
- CDC
- 2008

In [1], Sinopoli et al. analyzed the problem of optimal estimation for linear Gaussian systems where packets containing observations are dropped according to an i.i.d. Bernoulli process, modeling a memoryless erasure channel. In this case the authors showed that the Kalman Filter is still the optimal estimator, although boundedness of the error depends… (More)

- Yilin Mo, Richard M. Murray
- CDC
- 2014

Average consensus is a widely used algorithm for distributed computing and control, where all the agents in the network constantly communicate and update their states in order to achieve an agreement. This approach could result in an undesirable disclosure of information on the initial state of an agent to the other agents. In this paper, we propose a… (More)

- Yilin Mo, Bruno Sinopoli
- IEEE Trans. Automat. Contr.
- 2012

In this paper we analyze the performance of Kalman filtering for linear Gaussian systems where packets containing observations are dropped according to a Markov process, modeling a Gilbert-Elliot channel. To address the challenges incurred by the loss of packets, we give a new definition of nondegeneracy, which is essentially stronger than the classical… (More)

- Le Xie, Yilin Mo, Bruno Sinopoli
- 2010

We present a potential class of cyber attack, named false data injection attack, against the state estimation in deregulated electricity markets. With the knowledge of the system configuration, we show that such attacks will circumvent the bad data measurement detection equipped in present SCADA systems, and lead to profitable financial misconduct such as… (More)

- Yilin Mo, Rohan Chabukswar, Bruno Sinopoli
- IEEE Trans. Contr. Sys. Techn.
- 2014

Ensuring security of systems based on supervisory control and data acquisition (SCADA) is a major challenge. In this paper we analyze the effect of integrity attacks on control systems and provide countermeasure capable of exposing such attacks. To validate the results, we apply our findings to an industrial control problem concerning a chemical plant and… (More)