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Daniel Jungels

dblp:94/4384 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

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

Computer networks · 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
Network security · 50% Cryptographic protocols and secure computation · 50%
Computer networks
1 paper
Vehicular, aerial and satellite networks · 77% Network management and operations · 23%

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

TopicWeightPapersLastEvidence papers
Vehicular, aerial and satellite networks
vehicular network security
0.112007
Eviction of Misbehaving and Faulty Nodes in Vehicular Networks · IEEE J. Sel. Areas Commun. 2007
Cryptographic protocols and secure computation › key management › public key infrastructure
certificate revocation
0.112007
Eviction of Misbehaving and Faulty Nodes in Vehicular Networks · IEEE J. Sel. Areas Commun. 2007
Network security › wireless network security
node revocation
0.112007
Eviction of Misbehaving and Faulty Nodes in Vehicular Networks · IEEE J. Sel. Areas Commun. 2007
Network management and operations › network robustness
fault tolerance
0.012007
Eviction of Misbehaving and Faulty Nodes in Vehicular Networks · IEEE J. Sel. Areas Commun. 2007

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

protocol design · 0.1distributed containment · 0.1
YearPublicationVenuePosition
2007 Eviction of Misbehaving and Faulty Nodes in Vehicular Networks
abstract
Vehicular networks (VNs) are emerging, among civilian applications, as a convincing instantiation of the mobile networking technology. However, security is a critical factor and a significant challenge to be met. Misbehaving or faulty network nodes have to be detected and prevented from disrupting network operation, a problem particularly hard to address in the life-critical VN environment. Existing networks rely mainly on node certificate revocation for attacker eviction, but the lack of an omnipresent infrastructure in VNs may unacceptably delay the retrieval of the most recent and relevant revocation information; this will especially be the case in the early deployment stages of such a highly volatile and large-scale system. In this paper, we address this specific problem. We propose protocols, as components of a framework, for the identification and local containment of misbehaving or faulty nodes, and then for their eviction from the system. We tailor our design to the VN characteristics and analyze our system. Our results show that the distributed approach to contain nodes and contribute to their eviction is efficiently feasible and achieves a sufficient level of robustness.
Maxim Raya, Panagiotis Papadimitratos, Imad Aad, Daniel Jungels, Jean-Pierre Hubaux
IEEE J. Sel. Areas Commun.4