A Survey of Research on Data Corruption in Cyber–Physical Critical Infrastructure Systems

Woodard, Mark; Sarvestani, Sahra Sedigh; Hurson, Ali R.

doi:10.1016/bs.adcom.2015.03.002

Cited by 4 publications

(3 citation statements)

References 54 publications

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“…The antennas on satellite stations and ground stations, as well as the systems connecting ground stations to satellite networks, are all potential entry points for hackers to launch cyberattacks [41]. Attacks that target data interception attempt to store data as it is transmitted through a satellite information system or eavesdrop the flow of data over the connected network [42]. An attacker will be able to verify the success of their security breach attempt in almost real-time, even if a satellite service provider is unaware of the attack while it is happening or even after it has occurred.…”

Section: Cyberattacks In Satellite Networkmentioning

confidence: 99%

Random Routing Algorithm for Enhancing the Cybersecurity of LEO Satellite Networks

et al. 2023

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The recent expansion of networks of low-earth orbit (LEO) satellites such as Starlink, OneWeb, and Telesat and the evolution of communication systems toward B5G and 6G with densely interconnected devices could generate opportunities for various cyber attacks. As the satellite network offers many crucial services to the public and governmental organizations, cyberattacks pose severe risks to the communication infrastructure. In this study, we propose a random routing algorithm to prevent distributed denial-of-service (DDoS) attacks on an LEO satellite constellation network. The routing algorithm utilizes the classical algorithms, i.e., k-DG, k-DS, k-SP, and k-LO, by introducing randomness and selecting one with weighted probability distribution to increase the uncertainty in the algorithm. The study shows that the proposed random routing algorithm improves the average and median cost of the attacker against DDoS attacks while maintaining the functionality of the network. The algorithm is optimized by formulating a Bayesian optimization problem. In addition to providing an additional level of uncertainty in the routing, there is an improvement of 1.71% in the average cost and 2.05% in the median cost in a typical scenario. The algorithm causes the network to be robust to cyber attacks against LEO Satellite Networks (LSNs), however, similar to any other defensive measures, it reduces the network’s goodput.

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Section: Cyberattacks In Satellite Networkmentioning

confidence: 99%

Random Routing Algorithm for Enhancing the Cybersecurity of LEO Satellite Networks

et al. 2023

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“…CPS security concerns comprise the malicious attempts-attacks-by an adversary to intercept, disrupt, defect or fail cyber-physical systems [5]. Depending on the source of attacks, CPS can be cyber, physical, or cyber-physical [17]. This study is focussed on cyber attacks, which result in deliberate sensor data corruption.…”

Section: B Threats To Validitymentioning

confidence: 99%

“…A survey of research on data corruption in critical infrastructure is presented in [17] that describes various anomaly detection approaches for detection of corrupted data. Statistical and behavioural approaches can be used for this purpose.…”

Section: B Threats To Validitymentioning

confidence: 99%

Experimental Evaluation of Stealthy Attack Detection in a Robot

Sabaliauskaite

Ruths

et al. 2015

2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing (PRDC)

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An experiment was conducted to investigate the effectiveness of the Cumulative Sum (CUSUM) approach for detecting cyber attacks on Cyber Physical Systems (CPS). The Amigobot robot was used as the CPS in this study. Three types of stealthy attacks were considered, namely, surge, bias, and geometric. While a similar study has been reported earlier using a simulated chemical plant, the objective of the study reported here was to replicate the previous study in a realistic CPS environment and investigate whether the detection method performs differently. Cyber attacks were implemented on the Amigobot through its wireless control mechanism by changing the readings obtained from one of its sonar sensors. In addition, the investigation focused on understanding the impact of attack timing and duration on (a) detection effectiveness of the CUSUM method and (b) system safety. Analysis of experimental data indicates differences between results reported in the previous simulation-based study and those reported here.

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A Survey of Data Cleansing Techniques for Cyber-Physical Critical Infrastructure Systems

Woodard

Wisely

Sarvestani

2016

Advances in Computers

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A Survey of Research on Data Corruption in Cyber–Physical Critical Infrastructure Systems

Cited by 4 publications

References 54 publications

Random Routing Algorithm for Enhancing the Cybersecurity of LEO Satellite Networks

Random Routing Algorithm for Enhancing the Cybersecurity of LEO Satellite Networks

Experimental Evaluation of Stealthy Attack Detection in a Robot

A Survey of Data Cleansing Techniques for Cyber-Physical Critical Infrastructure Systems

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