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Filippo Donegà

dblp:396/1083 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0008-3383-4067ORCID · reported

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

Computer networks · 1 · 1 first-author · 1 since 2021

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
Network security · 67% Authentication and access control · 33%
Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network security › attack resilience › attack mitigation
denial-of-service defense
1.012026
A Collaborative System for Reputation-Based Security in Underwater Acoustic Networks · IEEE Trans. Commun. 2026
Network security › intrusion detection and prevention
intrusion detection
1.012026
A Collaborative System for Reputation-Based Security in Underwater Acoustic Networks · IEEE Trans. Commun. 2026
Authentication and access control › trust management
trust and reputation
1.012026
A Collaborative System for Reputation-Based Security in Underwater Acoustic Networks · IEEE Trans. Commun. 2026
Internet of things and sensor networks › underwater sensor networks
underwater acoustic sensor networks
0.312026
A Collaborative System for Reputation-Based Security in Underwater Acoustic Networks · IEEE Trans. Commun. 2026

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

trust-related data dissemination · 2.0simulation-based evaluation · 2.0
YearPublicationVenuePosition
2026 A Collaborative System for Reputation-Based Security in Underwater Acoustic Networks
abstract
Although widely employed in mission-critical applications, Underwater Acoustic Networks (UANs) are intrinsically susceptible to Denial of Service (DoS) attacks, due to the broadcast nature of the underwater acoustic channel. These security breaches can severely compromise the UAN’s operational integrity and disrupt the overall network performance, requiring adequate safeguards to be put in place. Reputation-based trust systems represent one of the most effective countermeasures against these threats, protecting from a wide range of attacks by predicting the reliability of nodes’ future behavior based on historical evidence such as their level of participation in network communication. However, this type of communication-based trust evidence, collected by nodes about their 1-hop neighbors, often leads to wrong trust assessments caused by poor link quality that could be avoided by taking channel conditions into account and/or incorporating third-party reputation information when evaluating trustworthiness. In [1], a channel-based reputation system weighing observations based on channel state is presented. Work presented in [2] expands such system by employing Trust- Related Data (TRD) dissemination to make any node in a multihop UAN aware of the trustworthiness of each other. This paper is a substantial extension of [2], introducing first-hand and second-hand TRD integration and rendering the system suitable for deployment by minimizing the amount of transmitted data. Additionally, we present a more comprehensive simulationbased evaluation of the proposed security framework, including a performance analysis in a scenario involving a mobile node, tests against attacks targeting the reputation system itself (such as slandering and spoofing) and a real-world validation conducted through a dedicated sea trial.
Filippo Donegà, Roberto Francescon, Pierpaolo Colella, Filippo Campagnaro, Ivor Nissen, Michele Zorzi
IEEE Trans. Commun.1