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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 9 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
APNOMS
2009
Springer
14 years 3 months ago
Attack Model and Detection Scheme for Botnet on 6LoWPAN
Recently, Botnet has been used to launch spam-mail, key-logging, and DDoS attacks. Botnet is a network of bots which are controlled by attacker. A lot of detection mechanisms have ...
Eung Jun Cho, Jin Ho Kim, Choong Seon Hong
CCS
2003
ACM
14 years 2 months ago
Incentive-based modeling and inference of attacker intent, objectives, and strategies
Although the ability to model and infer Attacker Intent, Objectives and Strategies (AIOS) may dramatically advance the literature of risk assessment, harm prediction, and predicti...
Peng Liu, Wanyu Zang
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
14 years 2 months ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
COMCOM
2008
135views more  COMCOM 2008»
13 years 8 months ago
Peer-to-peer system-based active worm attacks: Modeling, analysis and defense
Active worms continue to pose major threats to the security of today's Internet. This is due to the ability of active worms to automatically propagate themselves and compromi...
Wei Yu, Sriram Chellappan, Xun Wang, Dong Xuan