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» An efficient data structure for network anomaly detection
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SIGMETRICS
2005
ACM
102views Hardware» more  SIGMETRICS 2005»
14 years 1 months ago
A statistical framework for efficient monitoring of end-to-end network properties
Network service providers and customers are often concerned with aggregate performance measures that span multiple network paths. Unfortunately, forming such network-wide measures ...
David B. Chua, Eric D. Kolaczyk, Mark Crovella
IADIS
2004
13 years 9 months ago
A note on the distribution of packet arrivals in high-speed data networks
A simple explanation is given of an anomaly often detected in traffic measurement when packet timings are truncated to nearest whole numbers. The correct observed discrete distrib...
Vic Grout, Stuart Cunningham, Denise Oram, Rich He...
IMC
2009
ACM
14 years 2 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
ICITA
2005
IEEE
14 years 1 months ago
A Multimedia Traffic Classification Scheme for Intrusion Detection Systems
Intrusion Detection Systems (IDS) have become widely used tools for ensuring system and network security. Among many other challenges, contemporary IDS have to cope with increasin...
Oge Marques, Pierre Baillargeon
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
14 years 1 months ago
MILA - Multilevel Immune Learning Algorithm
The biological immune system is an intricate network of specialized tissues, organs, cells, and chemical molecules. T-cell-dependent humoral immune response is one of the complex i...
Dipankar Dasgupta, Senhua Yu, Nivedita Sumi Majumd...