CAREER:Formal Synthesis of Provably Correct Cyber-Physical Defense with Asymmetric Information
CAREER:Formal Synthesis of Provably Correct Cyber-Physical Defense with Asymmetric Information
批准号:
2144113
负责人:
Jie Fu
金额:
$54.82万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-06-01 至 2027-05-31
中文摘要
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英文摘要
For mission-critical Cyber-physical systems (CPSs), it is crucial to ensure these systems behave correctly while interacting with open, dynamic, and uncertain environments. Synthesizing CPSs with assurance is a daunting task: On the one hand, the interconnected networks, sensors, and (semi-) autonomous systems introduce unprecedented vulnerabilities to both cyber- and physical spaces; On the other hand, purposeful attacks may aim to compromise more complex system properties beyond traditional stability and safety. For example, in a robotized security patrol system, a successful cyber-attack on the sensor network can be combined with adversarial control commands to compromise the system and disrupt its mission. In this project, the goal is to develop intelligent sensing and control methods for CPSs that leverage advanced cyber defense techniques for constructing provably secured systems subject to high-level complex mission objectives.To achieve this goal, this project will develop formal modeling and solutions for a class of CPS Games, featured by multi-stage, strategic interactions between a controller/defender and a (coordinated cyber- and physical-) attacker. The synthesis of CPS control/defense strategies will explicitly account for asymmetric information and investigate how to leverage cyber defense and deception for guaranteed performance in mission-critical CPSs. The fundamental theory and algorithms will be validated via both a physical testbed including multiple mobile robots and a wireless sensor network and a simulation as a virtual proving ground. The technical contributions are: 1) to develop solutions of imperfect information games with temporal logic objectives and employ the solutions to design control and information acquisition strategies for CPSs under attacks; 2) to investigate the use of cyber defense techniques for gaining defender information advantages against CPS attackers in the synthesis of integrated cyber-physical defense; 3) to develop control strategies against coordinated cyber- and physical- attacks, and novel control methods that incorporate human’s preference for CPS resilience against prior unknown attacks. The project also includes an educational plan by developing an interdisciplinary curriculum for engineering students on cyber-physical security and attack mitigation techniques. The PI will promote K-12 outreach by participating in campus-wide activities and offering a two-week summer course for high-school students with hands-on robotic and wireless sensor networks experiments, aiming to raise students’ interest in science and engineering and public’s awareness of CPS security.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Optimal Resource Allocation for Proactive Defense with Deception in Probabilistic Attack Graphs
概率攻击图中欺骗主动防御的最优资源分配
DOI:
--
发表时间:
2023
期刊:
Decision and Game Theory for Security
影响因子:
--
作者:
[Ma, Haoxiang, Han, Shuo, Kamhoua, Charles, Fu, Jie]
通讯作者:
Fu, Jie
DOI:
10.1109/cdc49753.2023.10384109
发表时间:
2023-04
期刊:
2023 62nd IEEE Conference on Decision and Control (CDC)
影响因子:
--
作者:
[Chongyang Shi;A. Kulkarni;Hazhar Rahmani;Jie Fu]
通讯作者:
Chongyang Shi;A. Kulkarni;Hazhar Rahmani;Jie Fu
DOI:
10.23919/acc55779.2023.10156127
发表时间:
2022-10
期刊:
2023 American Control Conference (ACC)
影响因子:
--
作者:
[A. Kulkarni;Jie Fu]
通讯作者:
A. Kulkarni;Jie Fu
DOI:
10.48550/arxiv.2304.11641
发表时间:
2023-04
期刊:
影响因子:
--
作者:
[Lening Li;Hazhar Rahmani;Jie Fu]
通讯作者:
Lening Li;Hazhar Rahmani;Jie Fu
DOI:
10.1109/icra48891.2023.10160678
发表时间:
2022-09
期刊:
2023 IEEE International Conference on Robotics and Automation (ICRA)
影响因子:
--
作者:
[Hazhar Rahmani;A. Kulkarni;Jie Fu]
通讯作者:
Hazhar Rahmani;A. Kulkarni;Jie Fu
共 9 条
Collaborative Research: CPS: Medium: Adaptive, Human-centric Demand-side Flexibility Coordination At-scale in Electric Power Networks
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批准号:2207759
-
项目类别:Standard Grant
-
资助金额:$33.3万
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财政年份:2022
-
负责人:Jie Fu
-
依托单位:
海外基金