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Xenofontas Dimitropoulos
Researcher at University of Crete
Publications - 126
Citations - 4278
Xenofontas Dimitropoulos is an academic researcher from University of Crete. The author has contributed to research in topics: The Internet & Border Gateway Protocol. The author has an hindex of 34, co-authored 125 publications receiving 3966 citations. Previous affiliations of Xenofontas Dimitropoulos include Foundation for Research & Technology – Hellas & IBM.
Papers
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Journal ArticleDOI
AS relationships: inference and validation
Xenofontas Dimitropoulos,Dmitri Krioukov,Marina Fomenkov,Bradley Huffaker,Young Hyun,kc claffy,George F. Riley +6 more
TL;DR: This work introduces novel heuristics for inferring AS relationships that improve upon previous works in several technical aspects and opens an AS relationship repository that makes publicly available the complete Internet AS-level topology annotated with AS relationship information for every pair of AS neighbors.
Proceedings Article
SEPIA: privacy-preserving aggregation of multi-domain network events and statistics
TL;DR: This paper designs privacy-preserving protocols for event correlation and aggregation of network traffic statistics, such as addition of volume metrics, computation of feature entropy, and distinct item count, and evaluates the running time and bandwidth requirements of these protocols in realistic settings on a local cluster as well as on PlanetLab.
Journal ArticleDOI
The internet AS-level topology: three data sources and one definitive metric
Priya Mahadevan,Dmitri Krioukov,Marina Fomenkov,Xenofontas Dimitropoulos,kc claffy,Amin Vahdat +5 more
TL;DR: An extensive set of characteristics for Internet AS topologies extracted from the three data sources most frequently used by the research community: traceroutes, BGP, and WHOIS is calculated.
Journal ArticleDOI
The Internet AS-Level Topology: Three Data Sources and One Definitive Metric
Priya Mahadevan,Dmitri Krioukov,Marina Fomenkov,Bradley Huffaker,Xenofontas Dimitropoulos,kc claffy,Amin Vahdat +6 more
TL;DR: In this paper, an extensive set of characteristics for Internet AS topologies extracted from the three data sources most frequently used by the research community: traceroutes, BGP, and WHOIS are calculated.
Journal ArticleDOI
Histogram-based traffic anomaly detection
TL;DR: This work describes a new approach to feature-based anomaly detection that constructs histograms of different traffic features, models histogram patterns, and identifies deviations from the created models.