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Didier Samfat

dblp:53/2119 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1997
—ORCID · none

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

Computer networks · 2 · 2 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
2 papers
Privacy and data protection · 42% Network security · 36% Authentication and access control · 21%
Computer networks
2 papers
Cellular and mobile networks · 59% Network measurement and analytics · 41%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
mobility management
0.021997
IDAMN: An Intrusion Detection Architecture for Mobile Networks · IEEE J. Sel. Areas Commun. 1997
Untraceability in Mobile Networks · MobiCom 1995
Network measurement and analytics › workload characterization › usage characterization
user behavior modeling
0.011997
IDAMN: An Intrusion Detection Architecture for Mobile Networks · IEEE J. Sel. Areas Commun. 1997
Network security › intrusion detection and prevention
intrusion detection
0.011997
IDAMN: An Intrusion Detection Architecture for Mobile Networks · IEEE J. Sel. Areas Commun. 1997
Privacy and data protection
anonymization
0.011995
Untraceability in Mobile Networks · MobiCom 1995
Authentication and access control › authentication
authentication protocols
0.011995
Untraceability in Mobile Networks · MobiCom 1995
Privacy and data protection › anonymity
untraceability
0.011995
Untraceability in Mobile Networks · MobiCom 1995
Network security › intrusion detection and prevention › intrusion detection › intrusion detection system
distributed intrusion detection
0.011997
IDAMN: An Intrusion Detection Architecture for Mobile Networks · IEEE J. Sel. Areas Commun. 1997
Cellular and mobile networks › mobility management
user mobility
0.011995
Untraceability in Mobile Networks · MobiCom 1995

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

user behavior modeling · 0.0telephony activity modeling · 0.0migration pattern modeling · 0.0inter-domain authentication protocols · 0.0aliases · 0.0
YearPublicationVenuePosition
1997 IDAMN: An Intrusion Detection Architecture for Mobile Networks
abstract
We present IDAMN (intrusion detection architecture for mobile networks), a distributed system whose main functionality is to track and detect mobile intruders in real time. IDAMN includes two algorithms which model the behavior of users in terms of both telephony activity and migration pattern. The main novelty of our architecture is its ability to perform intrusion detection in the visited location and within the duration of a typical call, as opposed to existing designs that require the reporting of all call data to the home location in order to perform the actual detection. The algorithms and the components of IDAMN have been designed in order to minimize the overhead incurred in the fixed part of the cellular network.
Didier Samfat, Refik Molva
IEEE J. Sel. Areas Commun.1
1995 Untraceability in Mobile Networks
abstract
User mobilityis a feature that raises many new security-related issues and concerns.One of them is the disclosure of a mobile user's reai identity during the authentication process, or other procedures specific to mobile networks.Such disclosure allows an unauthorized third-party to track the m.obile user's movements and current whereabouts.Depending ou the context, access to auy information related to a mobile user's location without his consent can be a serious violation of his privacy.This new issue might be seen as a conflicting requirement with respect to authentication: untraceability requires hiding the user's identity while authentication requires the user's identity to be revealed in order to be proved.What is needed is a single mechanism reconciling both authentication and privacy of a mobile user's identification.The basic :solution to this problem is the use of uliases.Aliases insure untraceability by hiding the user's real identity as well as his relationship with domain authorities.In this paper, we present a classification scheme to identify the various degrees of untraceability requirements.We then present an efficient method for the computation of aliases and apply It to a new set of inter-domain authentication protocols.We demonstrate that these protocols can be designed to meet various degrees of untraceability requirements.In designing these protocols, we try to avoid the drawbacks of authentication protoc:ols in existing mobile network architectures such as CDPD and GSM.
Didier Samfat, Refik Molva, N. Asokan
MobiCom1