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This paper takes a first look at the potential consequences of cyberattacks against structural control systems. We design algorithms and implement them in a testbed and on well-known benchmark models for buildings and bridges. Our results show that attacks to structures equipped with semi-active and active vibration control systems can let the attacker oscillate the building or bridge at the resonance frequency, effectively generating threats to the structure and the people using it. We also implement and test the effectiveness of attack-detection systems.more » « less
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Giraldo, Jairo; Kafash, Sahand Hadizadeh; Ruths, Justin; Cardenas, Alvaro A. (, 2020 IEEE European Symposium on Security and Privacy (EuroS&P))null (Ed.)
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Giraldo, Jairo; Cardenas, Alvaro; Kantarcioglu, Murat; Katz, Jonathan (, Network and Distributed Systems Security (NDSS) Symposium 2020)The last decade has seen a growing interest in adversarial classification, where an attacker tries to mislead a classifier meant to detect anomalies. We study this problem in a setting where anomaly detection is being used in conjunction with differential privacy to protect personal information. We show that a strategic attacker can leverage the additional noise (introduced to ensure differential privacy) to mislead the classifier beyond what the attacker could do otherwise; we also propose countermeasures against such attacks. We then evaluate the impact of our attacks and defenses in road traffic congestion and smart metering examples.more » « less
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