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» Data Mining for Intrusion Detection: Techniques, Application...
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148
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ICMLA
2009
15 years 9 months ago
Statistical Decision Making for Authentication and Intrusion Detection
User authentication and intrusion detection differ from standard classification problems in that while we have data generated from legitimate users, impostor or intrusion data is s...
Christos Dimitrakakis, Aikaterini Mitrokotsa
KDD
1997
ACM
184views Data Mining» more  KDD 1997»
15 years 4 months ago
JAM: Java Agents for Meta-Learning over Distributed Databases
In this paper, we describe the JAM system, a distributed, scalable and portable agent-based data mining system that employs a general approach to scaling data mining applications ...
Salvatore J. Stolfo, Andreas L. Prodromidis, Shell...
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
16 years 17 days ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
101
Voted
ACSAC
2000
IEEE
15 years 4 months ago
A Network Audit System for Host-based Intrusion Detection (NASHID) in Linux
Recent work has shown that conventional operating system audit trails are insufficient to detect low-level network attacks. Because audit trails are typically based upon system c...
Thomas E. Daniels, Eugene H. Spafford
CISISSPAIN
2011
14 years 4 months ago
Testing Ensembles for Intrusion Detection: On the Identification of Mutated Network Scans
In last decades there have been many proposals from the machine learning community in the intrusion detection field. One of the main problems that Intrusion Detection Systems (IDSs...
Silvia González, Javier Sedano, Álva...