Title :
Under the radar attacks in dynamical systems: Adversarial privacy utility tradeoffs
Author :
Pradhan, Parth ; Venkitasubramaniam, Parv
Author_Institution :
Dept. of Electr. & Comput. Eng., Lehigh Univ., Bethlehem, PA, USA
Abstract :
Cyber physical systems which integrate physical system dynamics with digital cyber infrastructure are envisioned to transform our core infrastructural frameworks such as the smart electricity grid, transportation networks and advanced manufacturing. This integration however exposes the physical system functioning to the security vulnerabilities of cyber communication. Both scientific studies and real world examples have demonstrated the impact of data injection attacks on state estimation mechanisms on the smart electricity grid. In this work, an abstract theoretical framework is proposed to study data injection/modification attacks on Markov modeled dynamical systems from the perspective of an adversary. Typical data injection attacks focus on one shot attacks by adversary and the non-detectability of such attacks under static assumptions. In this work we study dynamic data injection attacks where the adversary is capable of modifying a temporal sequence of data and the physical controller is equipped with prior statistical knowledge about the data arrival process to detect the presence of an adversary. The goal of the adversary is to modify the arrivals to minimize a utility function of the controller while minimizing the detectability of his presence as measured by the KL divergence between the prior and posterior distribution of the arriving data. Adversarial policies and tradeoffs between utility and detectability are characterized analytically using linearly solvable control optimization.
Keywords :
Markov processes; radar; telecommunication security; Markov modeled dynamical systems; advanced manufacturing; adversarial privacy utility tradeoffs; core infrastructural frameworks; cyber communication; cyber physical systems; data arrival process; data injection attacks; digital cyber infrastructure; dynamic data injection attacks; dynamical systems; physical system dynamics; radar attacks; security vulnerabilities; smart electricity grid; state estimation mechanisms; temporal sequence; transportation networks; Markov processes; Mathematical model; Power system dynamics; Privacy; Process control; Smart grids; State estimation;
Conference_Titel :
Information Theory Workshop (ITW), 2014 IEEE
Conference_Location :
Hobart, TAS
DOI :
10.1109/ITW.2014.6970829