Adaptive architectures for resilient control of networked multiagent systems in the presence of misbehaving agents

Torre, Gerardo De La; Yucelen, Tansel

doi:10.1080/00207179.2017.1286040

Cited by 48 publications

(16 citation statements)

References 12 publications

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“…Other auhtors have developed SNMP and multi-agent systems (Barruiso et al, 2017;Moreira et al, 2016;Torre and Yucelen, 2018). The first model is a proposal for a mechanism to provide flexibility and dynamism using virtual agent organizations (VO) embedded in different wireless sensors, which are embedded in devices with limited computational resources.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Network Monitoring System for Campus Infrastructure Using Software Agents

et al. 2021

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In network management and monitoring systems, or Network Management Stations (NMS), the Simple Network monitoring Protocol (SNMP) is normally used, with which it is possible to obtain information on the behavior, the values of the variables, and the status of the network architecture. network. However, for large corporate networks, the protocol can present latency in data collection and processing, thus making real-time monitoring difficult. This article proposes a multi-agent system based on layers, with three types of agents. This includes the collector agent, which uses a Management Information Base (MIB) value to collect information from the network equipment, an input table of information from the network devices for the consolidator agent to process the collected data and leave it in a consumable format, and its subsequent representation by the application agent as a web service, in this case, as a heat map.

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Section: Related Workmentioning

confidence: 99%

Design and Implementation of Network Monitoring System for Campus Infrastructure Using Software Agents

et al. 2021

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“…Then, according to (34), [I n + cKG i (z)λ h ] −1 is Schur stable. Therefore, the system states are bounded, even in the presence of the attack.…”

Section: B Internal Model Principle Approach For the Attackermentioning

confidence: 99%

“…Secure state estimation and control under sensor attack is considered in [32]- [33]. A resilient control protocol is presented in [34] for single and double integrator system based on local state emulator. In [35], an adaptive resilient control protocol is presented for the attack on sensor and actuator of the system.…”

Section: Introductionmentioning

confidence: 99%

Attack Analysis and Resilient Control Design for Discrete-Time Distributed Multi-Agent Systems

Mustafa

Modares

2020

IEEE Robot. Autom. Lett.

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This work presents a rigorous analysis of the adverse effects of cyber-physical attacks on discrete-time distributed multi-agent systems, and propose a mitigation approach for attacks on sensors and actuators. First, we show how an attack on a compromised agent can propagate and affect intact agents that are reachable from it. That is, an attack on a single node snowballs into a network-wide attack and can even destabilize the entire system. Moreover, we show that the attacker can bypass the robust H ∞ control protocol and make it entirely ineffective in attenuating the effect of the adversarial input on the system performance. Finally, to overcome adversarial effects of attacks on sensors and actuators, a distributed adaptive attack compensator is designed by estimating the normal expected behavior of agents. The adaptive attack compensator is augmented with the controller and it is shown that the proposed controller achieves secure consensus in presence of the attacks on sensors and actuators. This controller does not require to make any restrictive assumption on the number of agents or agent's neighbors under direct effect of adversarial input. Moreover, it recovers compromised agents under actuator attacks and avoids propagation of attacks on sensors without removing compromised agents. The effectiveness of the proposed controller and analysis is validated on a network of Sentry autonomous underwater vehicles subject to attacks under different scenarios.

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“…However, the connectivity of the entire network may be damaged, and thus additional assumption that the proportion of attacked agents is restricted needs to be made to ensure network connectivity. In order not to remove the attacked agents, there are some mitigation methods for FDI attacks in References 24‐29. To be concrete, robust control methods were used in References 24 and 25 to ensure that the consensus errors were bounded where attack signals are assumed to be bounded and have low occurrence probabilities.…”

Section: Introductionmentioning

confidence: 99%

“…To be concrete, robust control methods were used in References 24 and 25 to ensure that the consensus errors were bounded where attack signals are assumed to be bounded and have low occurrence probabilities. Adaptive compensation methods based on reference models which simulate the agents' normal states were proposed in References 26 and 27 to make consensus errors arbitrarily small. An impulsive control method was introduced in Reference 28 to guarantee mean‐square boundedness of consensus error where only sensors of MASs are attacked.…”

Section: Introductionmentioning

confidence: 99%

Secure consensus control for multi‐agent systems against attacks on actuators and sensors

Huo

Zhang

2022

Intl J Robust & Nonlinear

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This article studies the secure leader-following consensus control problem for discrete-time multi-agent systems under false data injection (FDI) attacks on both actuators and sensors. It is shown that under standard consensus protocol, an attacked follower can cause normal followers to fail to follow the leader if the normal followers can access the attacked follower through directed paths of arbitrary length. To mitigate the adverse impacts of FDI attacks, a secure observer-based consensus protocol is presented where local observer is used to estimate the system state and attack signal simultaneously and then the uniformly ultimately boundedness of state consensus error between all followers and leader can be guaranteed. Finally, a simulation example on the LC oscillator networks in the presence of FDI attacks validates the unavailability of standard consensus protocol and the effectiveness of the proposed secure observer-based consensus protocol.

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Adaptive architectures for resilient control of networked multiagent systems in the presence of misbehaving agents

Cited by 48 publications

References 12 publications

Design and Implementation of Network Monitoring System for Campus Infrastructure Using Software Agents

Design and Implementation of Network Monitoring System for Campus Infrastructure Using Software Agents

Attack Analysis and Resilient Control Design for Discrete-Time Distributed Multi-Agent Systems

Secure consensus control for multi‐agent systems against attacks on actuators and sensors

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