Demo Data from EDBT 2026 / reviewers in the wild / expert
Gianni Valenti
dblp:69/6848
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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 · 50% Network security · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › intrusion detection and prevention › intrusion detection › intrusion detection system
distributed intrusion detection |
0.1 | 1 | 2008 | Consensus-based distributed intrusion detection for multi-robot systems · ICRA 2008 |
Cyber-physical and IoT security › robot security
multi-robot system security |
0.1 | 1 | 2008 | Consensus-based distributed intrusion detection for multi-robot systems · ICRA 2008 |
Distributed systems
consensus |
0.0 | 1 | 2008 | Consensus-based distributed intrusion detection for multi-robot systems · ICRA 2008 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.2consensus algorithm · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Consensus-based distributed intrusion detection for multi-robot systemsabstractThis paper addresses a security problem in robotic multi-agent systems, where agents are supposed to cooperate according to a shared protocol. A distributed Intrusion Detection System (IDS) is proposed here, that detects possible non-cooperative agents. Previous work by the authors showed how single monitors embedded on-board the agents can detect non- cooperative behavior, using only locally available information. In this paper, we allow such monitors to share the collected information in order to overcome their sensing limitation. In this perspective, we show how an agreement on the type of behavior of a target-robot may be reached by the monitors, through execution of a suitable consensus algorithm. After formulating a consensus problem over non-scalar quantities, and with a generic update function, we provide conditions for the consensus convergence and an upper bound to its transient duration. Effectiveness of the proposed solution is finally shown through simulation of a case study. Adriano Fagiolini, Marco Pellinacci, Gianni Valenti, Gianluca Dini, Antonio Bicchi |
ICRA | 3 |