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KDD
1998
ACM
170views Data Mining» more  KDD 1998»
15 years 5 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ML
2000
ACM
15 years 1 months ago
Multistrategy Discovery and Detection of Novice Programmer Errors
Detecting and diagnosing errors in novice behavior is an important student modeling task. In this paper, we describe MEDD, an unsupervised incremental multistrategy system for the ...
Raymund Sison, Masayuki Numao, Masamichi Shimura
AAAI
2007
15 years 3 months ago
COD: Online Temporal Clustering for Outbreak Detection
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
Tomás Singliar, Denver Dash
CCGRID
2006
IEEE
15 years 7 months ago
INTCTD: A Peer-to-Peer Approach for Intrusion Detection
In this paper we propose a peer-to-peer (P2P) prototype (INTCTD) for intrusion detection over an overlay network. INTCTD is a distributed system based on neural networks for detec...
Catalin Dumitrescu
RAID
2005
Springer
15 years 7 months ago
COTS Diversity Based Intrusion Detection and Application to Web Servers
Abstract. It is commonly accepted that intrusion detection systems (IDS) are required to compensate for the insufficient security mechanisms that are available on computer systems...
Eric Totel, Frédéric Majorczyk, Ludo...