Trust-Based Framework for Resilience to Sensor-Targeted Attacks in Cyber-Physical Systems

Rodriguez-Seda, Erick J.; Kiriakidis, Kiriakos; Croteau, Brien; Krishnankutty, Deepak; Robucci, Ryan; Patel, Chintan; Banerjee, Nilanjan

doi:10.23919/acc.2018.8431909

Cited by 9 publications

(4 citation statements)

References 23 publications

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“…The uncertainty stems from the possibility that some community members may selectively hide or manipulate information to their selfish benefits. Severson et al 33 use a consensus algorithm along with side‐channel monitors per sensor to estimate trust levels of sensor nodes in CPSs. The proposed method detects attacks with a high degree of accuracy when evaluated on a real testbed.…”

Section: Related Workmentioning

confidence: 99%

A game‐theoretic approach for ensuring trustworthiness in cyber‐physical systems with applications to multiloop UAV control

Jithish

Sankaran

2020

Trans Emerging Tel Tech

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Advancements in computing and communication technologies, coupled with the ubiquitous availability of low‐cost embedded devices, have enabled the vision of cyber‐physical systems (CPSs). With the advent of advanced persistent threats, CPSs are more vulnerable to sophisticated cyber‐attacks that cause catastrophic damages, thereby necessitating the development of novel defence architectures for CPS security. This work presents an analytical framework based on noncooperative game theory to evaluate the trustworthiness of individual nodes that constitute CPSs. The proposed approach uses the Nash equilibrium solution to derive a minimum trust threshold score for the CPS nodes. The game‐theoretic framework is evaluated on a supervisory control and data acquisition system prototype to model the evolution of the trust scores its sensors. Furthermore, we apply the model on a simulated unmanned aerial vehicle (UAV) system and derive the trust threshold. The trust threshold represents the minimum trust score required to be maintained by individual UAV nodes. Nodes with trust scores below the threshold are potentially malicious and may be removed or isolated to ensure the secure operation of the system. The proposed approach is successfully implemented to detect malicious behavior in a simulated multiloop UAV control system with a fewer number of false‐positives, achieving a maximum accuracy of 98.85% across different scenarios.

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Section: Related Workmentioning

confidence: 99%

A game‐theoretic approach for ensuring trustworthiness in cyber‐physical systems with applications to multiloop UAV control

Jithish

Sankaran

2020

Trans Emerging Tel Tech

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“…An improvement of CST in [11] is made by including a coding matrix to sensor outputs that is unknown to attackers, then an iterative optimization algorithm is used to solve for a transform matrix to detect stealthy attacks. Similar to our work where monitors are placed on individual sensors, the authors in [12] propose a Trust-based framework for sensor sets by "side-channel" monitors to provide a weight for trustworthiness to determine whether sensors have been compromised. Other works have proposed attack resiliency by leveraging information from redundant sensing.…”

Section: A Related Workmentioning

confidence: 99%

“…+1)/24 + ( 2 + )/4. (14) Proof: From the Wilcoxon test statistic equaling the sum of ranks in (10), we can rearrange (12)…”

Section: A Residual Symmetry Monitormentioning

confidence: 99%

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Model-based Randomness Monitor for Stealthy Sensor Attacks

Bonczek¹,

Gao²,

Bezzo³

2020

Preprint

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Malicious attacks on modern autonomous cyberphysical systems (CPSs) can leverage information about the system dynamics and noise characteristics to hide while hijacking the system toward undesired states. Given attacks attempting to hide within the system noise profile to remain undetected, an attacker with the intent to hijack a system will alter sensor measurements, contradicting with what is expected by the system's model. To deal with this problem, in this paper we present a framework to detect non-randomness in sensor measurements on CPSs under the effect of sensor attacks. Specifically, we propose a run-time monitor that leverages two statistical tests, the Wilcoxon Signed-Rank test and Serial Independence Runs test to detect inconsistent patterns in the measurement data. For the proposed statistical tests we provide formal guarantees and bounds for attack detection. We validate our approach through simulations and experiments on an unmanned ground vehicle (UGV) under stealthy attacks and compare our framework with other anomaly detectors.

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Intrusion Detection in Wireless Network of Smart Grid Using Intelligent Trust-Weight Method

2020

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Trust-Based Framework for Resilience to Sensor-Targeted Attacks in Cyber-Physical Systems

Cited by 9 publications

References 23 publications

A game‐theoretic approach for ensuring trustworthiness in cyber‐physical systems with applications to multiloop UAV control

A game‐theoretic approach for ensuring trustworthiness in cyber‐physical systems with applications to multiloop UAV control

Model-based Randomness Monitor for Stealthy Sensor Attacks

Intrusion Detection in Wireless Network of Smart Grid Using Intelligent Trust-Weight Method

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