A distributed attack detection method for multi-agent systems governed by consensus-based control

Boem, Francesca; Gallo, Alexander J.; Ferrari-Trecate, Giancarlo; Parisini, Thomas

doi:10.1109/cdc.2017.8264562

Cited by 36 publications

(32 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We design a distributed state estimator -similar to the one given in [25] -based on a full-order Luenberger-like observer and used by each DGU to estimate its local state. This requires local model information, as well as output measurements that are communicated from its neighbors and are subject to possible attacks.…”

Section: Distributed Estimation Of Local State Variablesmentioning

confidence: 99%

“…Hence it is sufficient that a component of the residual crosses the corresponding threshold to state that an attack is present. A thorough analysis of the detectability properties of this method can be found in [25].…”

Section: (7)mentioning

confidence: 99%

“…The proposed estimator is able to identify, with limited information of the overall DCmG's model, whether output measurements received from its neighbors are corrupted by a data-injection attack or not. Preliminary results have been presented in [25]. With respect to [25], local UIOs are exploited to estimate the state of neighboring DGUs.…”

Section: Introductionmentioning

confidence: 99%

“…Preliminary results have been presented in [25]. With respect to [25], local UIOs are exploited to estimate the state of neighboring DGUs. Detection thresholds are developed which ensure the absence of false alarms.…”

Section: Introductionmentioning

confidence: 99%

“…In Section II the models of the DC microgrid and of the attack are presented and the attack-detection problem is formulated. In Section III, we briefly recall the distributed estimation technique and detection strategy presented in [25], and its limitations for DC microgrids are higlighted. In Section IV, the monitoring architecture is sketched, unknown input observers are designed to estimate the state of the neighbors, hence a detection threshold is designed and attack detectability is analyzed.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Gallo

Turan

Nahata

et al. 2018

2018 European Control Conference (ECC)

View full text Add to dashboard Cite

The paper considers the problem of detecting cyber-attacks occurring in communication networks typically used in the secondary control layer of DC microgrids. The proposed distributed methodology allows for scalable monitoring of a microgrid and is able to detect the presence of data injection attacks in the communications among Distributed Generation Units (DGUs)-governed by consensus-based control-and isolate the communication link over which the attack is injected. Each local attack detector requires limited knowledge regarding the dynamics of its neighbors. Detectability properties of the method are analyzed, as well as a class of undetectable attacks. Some results from numerical simulation are presented to demonstrate the effectiveness of the proposed approach.

show abstract

Section: Distributed Estimation Of Local State Variablesmentioning

confidence: 99%

Section: (7)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Gallo

Turan

Nahata

et al. 2018

2018 European Control Conference (ECC)

View full text Add to dashboard Cite

show abstract

Security measure allocation for industrial control systems: Exploiting systematic search techniques and submodularity

Milošević

Teixeira

Tanaka

et al. 2018

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

To protect industrial control systems from cyberattacks, multiple layers of security measures need to be allocated to prevent critical security vulnerabilities.However, both finding the critical vulnerabilities and then allocating security measures in a cost-efficient way become challenging when the number of vulnerabilities and measures is large. This paper proposes a framework that can be used once this is the case. In our framework, the attacker exploits security vulnerabilities to gain control over some of the sensors and actuators. The critical vulnerabilities are those that are not complex to exploit and can lead to a large impact on the physical world through the compromised sensors and actuators. To find these vulnerabilities efficiently, we propose an algorithm that uses the nondecreasing properties of the impact and complexity functions and properties of the security measure allocation problem to speed up the search. Once the critical vulnerabilities are located, the security measure allocation problem reduces to an integer linear program. Since integer linear programs are NP-hard in general, we reformulate this problem as a problem of minimizing a linear set function subject to a submodular constraint. A polynomial time greedy algorithm can then be applied to obtain a solution with guaranteed approximation bound. The applicability of our framework is demonstrated on a control system used for regulation of temperature within a building.

show abstract

A distributed fault detection scheme in disturbed heterogeneous networked systems

et al. 2021

View full text Add to dashboard Cite

This paper deals with the problem of distributed fault detection and isolation in multi-agent systems with disturbed high-order dynamics subject to communication uncertainties and faults. Distributed finite-frequency mixed $${\mathcal {H}}_-$$ H - $$/{\mathcal {H}}_\infty $$ / H ∞ unknown input observers are designed to detect and distinguish actuator, sensor and communication faults. Furthermore, an agent is capable of detecting not only its own faults but also faults in its neighbouring agents. Sufficient conditions are then derived in terms of a set of linear matrix inequalities while adding additional design variables to reduce the conservatism. A numerical simulation is carried out in order to demonstrate the effectiveness of the proposed approach.

show abstract

A distributed attack detection method for multi-agent systems governed by consensus-based control

Cited by 36 publications

References 21 publications

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Security measure allocation for industrial control systems: Exploiting systematic search techniques and submodularity

A distributed fault detection scheme in disturbed heterogeneous networked systems

Contact Info

Product

Resources

About