EDBT 2026 Demo / reviewers in the wild / expert
Quyen Dinh Vu
dblp:183/6753
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › intrusion detection and prevention › intrusion detection
attack detection |
0.2 | 1 | 2016 | On applying fault detectors against false data injection attacks in cyber-physical control systems · INFOCOM 2016 |
Systems and software security › offensive security
attack synthesis |
0.2 | 1 | 2016 | 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 |
0.2 | 1 | 2016 | On applying fault detectors against false data injection attacks in cyber-physical control systems · INFOCOM 2016 |
Energy systems and smart grids
power system control |
0.1 | 1 | 2016 | 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 |
0.1 | 1 | 2016 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | On applying fault detectors against false data injection attacks in cyber-physical control systemsabstractMuch 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 |
INFOCOM | 1 |