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» AdaBoost-Based Algorithm for Network Intrusion Detection
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ACSC
2005
IEEE
14 years 1 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
SNPD
2007
13 years 9 months ago
Detecting Compromised Nodes in Wireless Sensor Networks
While wireless sensor networks are proving to be a versatile tool, many of the applications in which they are implemented have sensitive data. In other words, security is crucial ...
Mary Mathews, Min Song, Sachin Shetty, Rick McKenz...
FLAIRS
2007
13 years 9 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...
DSN
2009
IEEE
13 years 5 months ago
RRE: A game-theoretic intrusion Response and Recovery Engine
Preserving the availability and integrity of networked computing systems in the face of fast-spreading intrusions requires advances not only in detection algorithms, but also in a...
Saman A. Zonouz, Himanshu Khurana, William H. Sand...
RAID
2005
Springer
14 years 29 days ago
Towards Software-Based Signature Detection for Intrusion Prevention on the Network Card
Abstract. CardGuard is a signature detection system for intrusion detection and prevention that scans the entire payload of packets for suspicious patterns and is implemented in so...
Herbert Bos, Kaiming Huang