Title :
Network intrusion detection in high dimensional space
Author :
Marcek, Stanislav ; Drozda, Martin ; Juhas, Gabriel ; Lehocki, Fedor
Author_Institution :
Fac. of Electr. Eng. & Inf. Technol., Slovak Univ. of Technol., Bratislava, Slovakia
Abstract :
We propose and evaluate an approach for network intrusion detection in high dimensional space. This approach is based on an approximate solution to the nearest neighbor problem. Our evaluation is based on the KDD´99 data set, a Yahoo Web spam data set and another set used in the NIPS´03 feature selection challenge. The approximate approach shows that good performance in terms of detection rate and false positives rate can be achieved.
Keywords :
Internet; search engines; security of data; unsolicited e-mail; KDD´99 data set; NIPS´03 feature selection; Yahoo Web spam data set; high dimensional space; nearest neighbor problem; network intrusion detection; Computational modeling; Computer science; Computer simulation; Information systems; Information technology; Intrusion detection; Nearest neighbor searches; Space technology; Viruses (medical); Web and internet services;
Conference_Titel :
Applied Sciences in Biomedical and Communication Technologies, 2009. ISABEL 2009. 2nd International Symposium on
Conference_Location :
Bratislava
Print_ISBN :
978-1-4244-4640-7
Electronic_ISBN :
978-1-4244-4641-4
DOI :
10.1109/ISABEL.2009.5373652
