Detecting Stealthy Spreaders by Random Aging Streaming Filters
Authors:
- 1 January 2011
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEICE Transactions on Communications
- Vol. E94-B (8) , 2274-2281
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- Identifying High Cardinality Internet Hosts2009
- Reversible Sketches: Enabling Monitoring and Analysis Over High-Speed Data StreamsIEEE/ACM Transactions on Networking, 2007
- Detecting Stealthy Spreaders Using Online Outdegree Histograms2008 16th Interntional Workshop on Quality of Service, 2007
- Simple and Adaptive Identification of Superspreaders by Flow Sampling2007
- Detection of Super Sources and Destinations in High-Speed Networks: Algorithms, Analysis and EvaluationIEEE Journal on Selected Areas in Communications, 2006
- New Streaming Algorithms for Fast Detection of Superspreaders2004
- Network Applications of Bloom Filters: A SurveyInternet Mathematics, 2004
- Practical automated detection of stealthy portscansJournal of Computer Security, 2002
- A linear-time probabilistic counting algorithm for database applicationsACM Transactions on Database Systems, 1990
- Space/time trade-offs in hash coding with allowable errorsCommunications of the ACM, 1970