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SP
2010
IEEE
187views Security Privacy» more  SP 2010»
13 years 10 months ago
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
Robin Sommer, Vern Paxson
COMCOM
2004
79views more  COMCOM 2004»
13 years 5 months ago
Anomaly detection methods in wired networks: a survey and taxonomy
Despite the advances reached along the last 20 years, anomaly detection in network behavior is still an immature technology, and the shortage of commercial tools thus corroborates...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 6 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
ICMLA
2003
13 years 7 months ago
Robust Support Vector Machines for Anomaly Detection in Computer Security
— Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
Wenjie Hu, Yihua Liao, V. Rao Vemuri
ATVA
2005
Springer
156views Hardware» more  ATVA 2005»
13 years 11 months ago
An EFSM-Based Intrusion Detection System for Ad Hoc Networks
Mobile ad hoc networks offer very interesting perspectives in wireless communications due to their easy deployment and their growing performances. However, due to their inherent c...
Jean-Marie Orset, Baptiste Alcalde, Ana R. Cavalli