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IWNAS
2008
IEEE
14 years 3 months ago
A Novel Embedded Accelerator for Online Detection of Shrew DDoS Attacks
∗ As one type of stealthy and hard-to-detect attack, lowrate TCP-targeted DDoS attack can seriously throttle the throughput of normal TCP flows for a long time without being noti...
Hao Chen, Yu Chen
IDEAS
2008
IEEE
256views Database» more  IDEAS 2008»
14 years 3 months ago
WIDS: a sensor-based online mining wireless intrusion detection system
This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purp...
Christie I. Ezeife, Maxwell Ejelike, Akshai K. Agg...
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
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
120views more  COMCOM 2008»
13 years 8 months ago
Game theoretic models for detecting network intrusions
In this paper, we study using game theory the problem of detecting intrusions in wired infrastructure networks. Detection is accomplished by sampling a subset of the transmitted p...
Hadi Otrok, Mona Mehrandish, Chadi Assi, Mourad De...