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» A Labeled Data Set for Flow-Based Intrusion Detection
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IPOM
2009
Springer
9 years 24 days ago
A Labeled Data Set for Flow-Based Intrusion Detection
Abstract. Flow-based intrusion detection has recently become a promising security mechanism in high speed networks (1-10 Gbps). Despite the richness in contributions in this field...
Anna Sperotto, Ramin Sadre, Frank van Vliet, Aiko ...
IFIP
2010
Springer
8 years 4 months ago
Labeled VoIP Data-Set for Intrusion Detection Evaluation
Abstract. VoIP has become a major application of multimedia communications over IP. Many initiatives around the world focus on the detection of attacks against VoIP services and in...
Mohamed Nassar, Radu State, Olivier Festor
ACSC
2005
IEEE
8 years 12 months ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
FLAIRS
2007
8 years 8 months ago
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliy...
CSFW
2004
IEEE
8 years 10 months ago
Using Active Learning in Intrusion Detection
Intrusion Detection Systems (IDSs) have become an important part of operational computer security. They are the last line of defense against malicious hackers and help detect ongo...
Magnus Almgren, Erland Jonsson
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