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This article considers the problem of risk-optimal allocation of security measures when the actuators of an uncertain control system are under attack. We consider an adversary injecting false data into the actuator channels. The attack…

Systems and Control · Electrical Eng. & Systems 2023-08-22 Sribalaji C. Anand , André M. H. Teixeira

While Quantum Key Distribution (QKD) provides information-theoretic security, the transition from theory to physical hardware introduces side-channel vulnerabilities that traditional error metrics often fail to characterize. This paper…

Quantum Physics · Physics 2026-03-05 Noureldin Mohamed , Saif Al-Kuwari

We propose interdependent defense (IDD) games, a computational game-theoretic framework to study aspects of the interdependence of risk and security in multi-agent systems under deliberate external attacks. Our model builds upon…

Computer Science and Game Theory · Computer Science 2012-10-19 Hau Chan , Michael Ceyko , Luis E. Ortiz

In this paper, a novel decentralized intelligent adaptive optimal strategy has been developed to solve the pursuit-evasion game for massive Multi-Agent Systems (MAS) under uncertain environment. Existing strategies for pursuit-evasion games…

Systems and Control · Electrical Eng. & Systems 2020-08-10 Zejian Zhou , Hao Xu

We study a class of games, in which the adversary (attacker) is to satisfy a complex mission specified in linear temporal logic, and the defender is to prevent the adversary from achieving its goal. A deceptive defender can allocate decoys,…

Computer Science and Game Theory · Computer Science 2020-10-06 Abhishek N. Kulkarni , Jie Fu , Huan Luo , Charles A. Kamhoua , Nandi O. Leslie

The wireless ad hoc networks are highly vulnerable to distributed denial of service(DDoS) attacks because of its unique characteristics such as open network architecture, shared wireless medium and stringent resource constraints. These…

Cryptography and Security · Computer Science 2011-06-08 S. A. Arunmozhi , Y. Venkataramani

Class incremental learning approaches are useful as they help the model to learn new information (classes) sequentially, while also retaining the previously acquired information (classes). However, it has been shown that such approaches are…

Machine Learning · Computer Science 2023-05-01 Muhammad Umer , Robi Polikar

In this article an $n$-pursuer versus $m$-evader reach-avoid differential game in 3D space is studied. A team of evaders aim to reach a stationary target while avoiding capture by a team of pursuers. The multiplayer scenario is formulated…

Optimization and Control · Mathematics 2024-02-06 Abinash Agasti , Puduru Viswanadha Reddy , Bharath Bhikkaji

This paper considers the problem of security allocation in a networked control system under stealthy attacks. The system is comprised of interconnected subsystems represented by vertices. A malicious adversary selects a single vertex on…

Systems and Control · Electrical Eng. & Systems 2024-04-03 Anh Tung Nguyen , André M. H. Teixeira , Alexander Medvedev

In this paper, we propose two secure multiuser multiple-input multiple-output transmission approaches based on interference alignment (IA) in the presence of an eavesdropper. To deal with the information leakage to the eavesdropper as well…

Optimization and Control · Mathematics 2016-11-17 Kha Hoang Ha , Thanh Tung Vu , Trung Quang Duong , Nguyen-Son Vo

Adversarial attacks can generate adversarial inputs by applying small but intentionally worst-case perturbations to samples from the dataset, which leads to even state-of-the-art deep neural networks outputting incorrect answers with high…

Machine Learning · Computer Science 2024-01-08 Shorya Sharma

We present a moving target defense strategy to reduce the impact of stealthy sensor attacks on feedback systems. The defender periodically and randomly switches between thresholds from a discrete set to increase the uncertainty for the…

Systems and Control · Electrical Eng. & Systems 2022-06-02 David Umsonst , Serkan Sarıtaş , György Dán , Henrik Sandberg

Designing effective defense against adversarial attacks is a crucial topic as deep neural networks have been proliferated rapidly in many security-critical domains such as malware detection and self-driving cars. Conventional defense…

Machine Learning · Computer Science 2020-02-21 Xiao Wang , Siyue Wang , Pin-Yu Chen , Xue Lin , Peter Chin

Advanced Persistent Threats (APTs) have recently emerged as a significant security challenge for a cyber-physical system due to their stealthy, dynamic and adaptive nature. Proactive dynamic defenses provide a strategic and holistic…

Computer Science and Game Theory · Computer Science 2019-11-11 Linan Huang , Quanyan Zhu

This paper studies a multiplayer reach-avoid differential game in the presence of general polygonal obstacles that block the players' motions. The pursuers cooperate to protect a convex region from the evaders who try to reach the region.…

Systems and Control · Electrical Eng. & Systems 2024-05-24 Rui Yan , Shuai Mi , Xiaoming Duan , Jintao Chen , Xiangyang Ji

We consider correlated equilibria in strategic games in an adversarial environment, where an adversary can compromise the public signal used by the players for choosing their strategies, while players aim at detecting a potential attack as…

Computer Science and Game Theory · Computer Science 2025-07-01 Kiarash Kazari , Aris Kanellopoulos , György Dán

In this paper, we consider a linear-quadratic-Gaussian defending assets differential game (DADG) where the attacker and the defender do not know each other's state information while they know the trajectory of a moving asset. Both players…

Systems and Control · Electrical Eng. & Systems 2021-03-25 Yunhan Huang , Juntao Chen , Quanyan Zhu

Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint…

Machine Learning · Computer Science 2024-09-05 Matthew Repasky , He Wang , Yao Xie

Unmanned aerial vehicles (UAVs) can provide wireless access to terrestrial users, regardless of geographical constraints, and will be an important part of future communication systems. In this paper, a multi-user downlink dual-UAVs enabled…

Information Theory · Computer Science 2023-10-24 Hongjiang Lei , Jiacheng Jiang , Imran Shafique Ansari , Gaofeng Pan , Mohamed-Slim Alouini

As an effective approach to thwarting advanced attacks, moving target defense (MTD) has been applied to various domains. Previous works on MTD, however, mainly focus on deciding the sequence of system configurations to be used and have…

Computer Science and Game Theory · Computer Science 2019-06-03 Henger Li , Zizhan Zheng