A divide-and-conquer approach to distributed attack identification

Pasqualetti, Fabio; Dörfler, Florian; Bullo, Francesco

doi:10.1109/cdc.2015.7403131

Cited by 31 publications

(18 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…with a coupling gain κγ = 1, even when some sensor banks or local observers intermittently join or leave the network as long as the proposed assumptions are maintained. Now, if we additionally assume that the initial condition is in some compact set K as in Theorem 2, then each agent can calculate T that guarantees (13) with the prespecified . Then, by each agent constructing their partial observer fast enough so that (14) is satisfied for the same T when s l i = 1 and a i ≡ 0, they can also calculate T > T such that…”

Section: Special Case: Lyapunov Stable Systemmentioning

confidence: 99%

“…Rather than presenting a majority voting algorithm in a distributed/cooperative manner, they assume that each local unit can collect a large number of measurements and then carry out the voting by itself. As a result, in order to locally identify q sensor attacks, they assumed that each local unit of sensors contains at least 2q + 1 sensors [8], [13], or has at least 2q + 1 neighboring sensor nodes [10]- [12]. On the other hand, a fully distributed attack identification scheme is made in [14], but it is only for the case when the state has constant scalar value and it assumes only up to 30% of measurements can be compromised.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fully Distributed Resilient State Estimation Based on Distributed Median Solver

Lee

Kim

Shim

2020

IEEE Trans. Automat. Contr.

View full text Add to dashboard Cite

In this paper, we present a scheme of fully distributed resilient state estimation for linear dynamical systems under sensor attacks. The proposed state observer consists of a network of local observers, where each of them utilizes local measurements and information transmitted from the neighbors. As a fully distributed scheme, it does not necessarily collect a majority of sensing data for the sake of attack identification, while the compromised sensors are eventually identified by the distributed network and excluded from the observers. For this, the overall network (not the individual local observer) is assumed to have redundant sensors and assumed to be connected. The proposed scheme is based on a novel design of a distributed median solver, which approximately recovers the median value of local estimates.

show abstract

Section: Special Case: Lyapunov Stable Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fully Distributed Resilient State Estimation Based on Distributed Median Solver

Lee

Kim

Shim

2020

IEEE Trans. Automat. Contr.

View full text Add to dashboard Cite

show abstract

“…Pasqualetti et al . [ 60 ] studied the distributed identification of attacks on a CPS. They modeled the state attack and the output attack as false data injection.…”

Section: Cyber-physical Systems Securitymentioning

confidence: 99%

A Survey on Security and Privacy in Emerging Sensor Networks: From Viewpoint of Close-Loop

Zhang

2016

Sensors

View full text Add to dashboard Cite

Nowadays, as the next generation sensor networks, Cyber-Physical Systems (CPSs) refer to the complex networked systems that have both physical subsystems and cyber components, and the information flow between different subsystems and components is across a communication network, which forms a closed-loop. New generation sensor networks are found in a growing number of applications and have received increasing attention from many inter-disciplines. Opportunities and challenges in the design, analysis, verification and validation of sensor networks co-exists, among which security and privacy are two important ingredients. This paper presents a survey on some recent results in the security and privacy aspects of emerging sensor networks from the viewpoint of the closed-loop. This paper also discusses several future research directions under these two umbrellas.

show abstract

“…Distributed Secure State Estimation: Distributed processing mitigates the computation load by getting rid of the fusion center in centralized fusion and estimation. Pasqualetti et al [16] propose a fully decentralized solution for attack identification. However, they only consider noiseless systems.…”

Section: Introductionmentioning

confidence: 99%

Distributed Secure State Estimation Using Diffusion Kalman Filters and Reachability Analysis

Alanwar

Said

Althoff

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

View full text Add to dashboard Cite

The tight coupling of information technology with physical sensing and actuation in cyber-physical systems (CPS) has given rise to new security vulnerabilities and attacks with potentially life-threatening consequences. These attacks are designed to transfer the physical system into unstable and insecure states by providing corrupted sensor readings. In this work, we present an approach for distributed secure linear state estimation in the presence of modeling and measurement noise between a network of nodes with pairwise measurements. We provide security against measurement attacks and simplify the traditional distributed secure state estimation problem. Reachability analysis is utilized to establish a security layer providing secure estimate shares for the distributed diffusion Kalman filter. Furthermore, we consider not only attacks on the link level but also on the sensor level. The proposed combined filter protects against measurement and diffusion attacks without requiring specialized hardware or cryptographic techniques. The effectiveness of the approach is demonstrated by a localization example of a rotating target.

show abstract

A divide-and-conquer approach to distributed attack identification

Cited by 31 publications

References 17 publications

Fully Distributed Resilient State Estimation Based on Distributed Median Solver

Fully Distributed Resilient State Estimation Based on Distributed Median Solver

A Survey on Security and Privacy in Emerging Sensor Networks: From Viewpoint of Close-Loop

Distributed Secure State Estimation Using Diffusion Kalman Filters and Reachability Analysis

Contact Info

Product

Resources

About