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20172022
most citedPrivacy Preserving Set-Based Estimation Using Partially Homomorphic Encryption

15 citations · 43 across the 21 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

eess.SY2020

Power Injection Attacks in Smart Distribution Grids with Photovoltaics

Martin Lindström, Hampei Sasahara, Xingkang He +2

In order to protect smart distribution grids from intrusions, it is important to understand possible risks and impacts of attacks. We study the worst-case attack strategy of a powe…

eess.SY2020★ 1 cited

Distributed control under compromised measurements:Resilient estimation, attack detection, and vehicle platooning

Xingkang He, Ehsan Hashemi, Karl H. Johansson

We study how to design a secure observer-based distributed controller such that a group of vehicles can achieve accurate state estimates and formation control even if the measureme…

cs.CR2020★ 15 cited

Privacy Preserving Set-Based Estimation Using Partially Homomorphic Encryption

Amr Alanwar, Victor Gassmann, Xingkang He +4

The set-based estimation has gained a lot of attention due to its ability to guarantee state enclosures for safety-critical systems. However, collecting measurements from distribut…

eess.SY2020★ 4 cited

How to Secure Distributed Filters Under Sensor Attacks

Xingkang He, Xiaoqiang Ren, Henrik Sandberg +1

We study how to secure distributed filters for linear time-invariant systems with bounded noise under false-data injection attacks. A malicious attacker is able to arbitrarily mani…

eess.SY2020★ 11 cited

Secure Platooning of Autonomous Vehicles Under Attacked GPS Data

Xingkang He, Ehsan Hashemi, Karl H. Johansson

In this paper, we study how to secure the platooning of autonomous vehicles when an unknown vehicle is under attack and bounded system uncertainties exist. For the attacked vehicle…

eess.SY2020

Community Detection for Gossip Dynamics with Stubborn Agents

Yu Xing, Xingkang He, Haitao Fang +1

We consider a community detection problem for gossip dynamics with stubborn agents in this paper. It is assumed that the communication probability matrix for agent pairs has a bloc…

eess.SY2020★ 1 cited

Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data

Yu Xing, Ben Gravell, Xingkang He +2

The study of multiplicative noise models has a long history in control theory but is re-emerging in the context of complex networked systems and systems with learning-based control…