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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
CCS
2007
ACM
14 years 1 months ago
Network anomaly detection based on TCM-KNN algorithm
Intrusion detection is a critical component of secure information systems. Network anomaly detection has been an active and difficult research topic in the field of Intrusion Dete...
Yang Li, Binxing Fang, Li Guo, You Chen
ISI
2006
Springer
13 years 7 months ago
Motion-Alert: Automatic Anomaly Detection in Massive Moving Objects
Abstract. With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. With such data, it becomes possible to...
Xiaolei Li, Jiawei Han, Sangkyum Kim
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
KDD
2005
ACM
193views Data Mining» more  KDD 2005»
14 years 8 months ago
An approach to spacecraft anomaly detection problem using kernel feature space
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida