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» Intrusion Detection with Neural Networks
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RTSS
2009
IEEE
14 years 2 months ago
Impact of Data Fusion on Real-Time Detection in Sensor Networks
—Real-time detection is an important requirement of many mission-critical wireless sensor network applications such as battlefield monitoring and security surveillance. Due to t...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang
WSTST
2005
Springer
14 years 1 months ago
Hybrid Neurocomputing for Breast Cancer Detection
Breast cancer is one of the major tumor related cause of death in women. Various artificial intelligence techniques have been used to improve the diagnoses procedures and to aid t...
Yuehui Chen, Ajith Abraham, Bo Yang
IMC
2004
ACM
14 years 1 months ago
On scalable attack detection in the network
Current intrusion detection and prevention systems seek to detect a wide class of network intrusions (e.g., DoS attacks, worms, port scans) at network vantage points. Unfortunatel...
Ramana Rao Kompella, Sumeet Singh, George Varghese
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
13 years 9 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
RAID
2005
Springer
14 years 1 months ago
Sequence Number-Based MAC Address Spoof Detection
Abstract. The exponential growth in the deployment of IEEE 802.11based wireless LAN (WLAN) in enterprises and homes makes WLAN an attractive target for attackers. Attacks that expl...
Fanglu Guo, Tzi-cker Chiueh