Quyen Dinh Vu

dblp:183/6753 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Cyber-physical and IoT security · 33% Network security · 33% Systems and software security · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Energy systems and smart grids · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network security › intrusion detection and prevention › intrusion detection
attack detection
0.212016
On applying fault detectors against false data injection attacks in cyber-physical control systems · INFOCOM 2016
Systems and software security › offensive security
attack synthesis
0.212016
On applying fault detectors against false data injection attacks in cyber-physical control systems · INFOCOM 2016
Cyber-physical and IoT security › deception attacks
false data injection attack
0.212016
On applying fault detectors against false data injection attacks in cyber-physical control systems · INFOCOM 2016
Energy systems and smart grids
power system control
0.112016
On applying fault detectors against false data injection attacks in cyber-physical control systems · INFOCOM 2016
Energy systems and smart grids › power system control
voltage control
0.112016
On applying fault detectors against false data injection attacks in cyber-physical control systems · INFOCOM 2016

Methods — techniques the papers use, named apart from their topics

quadratic programming · 0.5dissipativity theory · 0.5OR-gate fusion · 0.5
YearPublicationVenuePosition
2016 On applying fault detectors against false data injection attacks in cyber-physical control systems
abstract
Much recent work has applied existing fault detectors against attacks in cyber-physical control systems. The results demonstrate effectiveness in detecting simplistic attacks that cause fault-like disruptions. However, they do not address motivated and knowledgeable attackers who craft attacks using knowledge of the system including its method of detecting attacks. In this paper, we analyze the conditions for an attacker to bypass a dissipativity-theoretic fault detector adopted in the prior work. We show that the attacker can use a quadratic programming solver to efficiently compute false data injection attacks to bypass the detector. We show further that, by applying an OR gate to fuse binary detection results from a number of the detectors, with carefully chosen parameters, we can achieve an integrated detector bank that cannot be bypassed by an attacker, if the attacker can tamper with either the sensor or control data of the system. For an n-dimensional linear time-invariant system, the number of needed fault detectors is O(n!). This number can be dramatically reduced to O(n) under a realistic assumption that the system has converged before the attack starts. Simulations for voltage control based on an IEEE 39-bus power system model validate our analysis.
Quyen Dinh Vu, Rui Tan 0001, David K. Y. Yau
INFOCOM1