DocumentCode
607845
Title
A new approach for detection of insider attacks
Author
Sen, Satyaki
Author_Institution
Bilgisayar Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey
fYear
2013
fDate
24-26 April 2013
Firstpage
1
Lastpage
4
Abstract
Insider attacks are among the top security threats today. The basic assumption underlying detection of these attacks is that the insider attackers will deviate from the typical behavior of his victims in order to carry out his malicious activities. In this research, we propose a new approach to detect insider attacks based on this assumption as well.
Keywords
security of data; insider attack detection; insider attackers; malicious activities; security threats; underlying detection; Computational modeling; Computer security; Conferences; Data models; Grammar; Text categorization; Naive Bayes classification; anomaly detection; insider threats;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location
Haspolat
Print_ISBN
978-1-4673-5562-9
Electronic_ISBN
978-1-4673-5561-2
Type
conf
DOI
10.1109/SIU.2013.6531506
Filename
6531506
Link To Document