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» Detecting Anomalies and Intruders
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SP
2008
IEEE
176views Security Privacy» more  SP 2008»
15 years 4 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
OTM
2007
Springer
15 years 4 months ago
Toward Sound-Assisted Intrusion Detection Systems
Network intrusion detection has been generally dealt with using sophisticated software and statistical analysis, although sometimes it has to be done by administrators, either by d...
Lei Qi, Miguel Vargas Martin, Bill Kapralos, Mark ...
VIZSEC
2005
Springer
15 years 3 months ago
IDGraphs: Intrusion Detection and Analysis Using Histographs
Traffic anomalies and attacks are commonplace in today’s networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusi...
Pin Ren, Yan Gao, Zhichun Li, Yan Chen, Benjamin W...
CW
2003
IEEE
15 years 3 months ago
Utilizing Statistical Characteristics of N-grams for Intrusion Detection
Information and infrastructure security is a serious issue of global concern. As the last line of defense for security infrastructure, intrusion detection techniques are paid more...
Zhuowei Li, Amitabha Das, Sukumar Nandi
ICASSP
2011
IEEE
14 years 1 months ago
Towards improving network flow watermarks using the repeat-accumulate codes
Network intruders try to hide their identity by relaying their traf c through a number of intermediate hosts, called stepping stones. Network ow watermarks have been used to detec...
Amir Houmansadr, Nikita Borisov