Title :
Detecting Masqueraders Using High Frequency Commands as Signatures
Author :
Wan, Ming Dong ; Wu, Han-Ching ; Kuo, Ying-Wei ; Marshall, James ; Huang, Shou-Hsuan Stephen
Author_Institution :
Univ. of Houston, Houston
Abstract :
Network intruders commonly use stolen passwords or other means to log into legitimate users´ computer accounts. To prevent this from happening, it is important that we are able to distinguish a user as a true user or a masquerader. Uniqueness of user command has been used in the past as signature of users. This project explores the high frequency commands to see if they work well as signatures. Experimental result was provided to show that they work as well as the Uniqueness method. Besides, the comparisons with other methods were also presented.
Keywords :
computer networks; digital signatures; security of data; telecommunication security; high frequency commands; masquerader detection; network intruders; stolen passwords; user computer accounts; user signatures; Application software; Artificial intelligence; Computer networks; Computer science; Data security; Databases; Electronic mail; Frequency; Intrusion detection; Monitoring; Intrusion Detection; Masqueraders; Network Security.; Profiles; Signatures;
Conference_Titel :
Advanced Information Networking and Applications - Workshops, 2008. AINAW 2008. 22nd International Conference on
Conference_Location :
Okinawa
Print_ISBN :
978-0-7695-3096-3
DOI :
10.1109/WAINA.2008.38