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» A System for in-Network Anomaly Detection
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SP
1999
IEEE
184views Security Privacy» more  SP 1999»
13 years 11 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
CCS
2004
ACM
14 years 26 days ago
Web tap: detecting covert web traffic
As network security is a growing concern, system administrators lock down their networks by closing inbound ports and only allowing outbound communication over selected protocols ...
Kevin Borders, Atul Prakash
BMCBI
2005
120views more  BMCBI 2005»
13 years 7 months ago
Robust detection of periodic time series measured from biological systems
Background: Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectr...
Miika Ahdesmäki, Harri Lähdesmäki, ...
ASPLOS
2010
ACM
14 years 2 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
ACSAC
2008
IEEE
14 years 1 months ago
Systematic Signature Engineering by Re-use of Snort Signatures
Most intrusion detection systems apply the misuse detection approach. Misuse detection compares recorded audit data with predefined patterns denoted as signatures. A signature is ...
Sebastian Schmerl, Hartmut König, Ulrich Fleg...