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ACSAC
2005
IEEE
14 years 2 months ago
A Framework for Detecting Network-based Code Injection Attacks Targeting Windows and UNIX
Code injection vulnerabilities continue to prevail. Attacks of this kind such as stack buffer overflows and heap buffer overflows account for roughly half of the vulnerabilities...
Stig Andersson, Andrew Clark, George M. Mohay, Bra...
RAID
2001
Springer
14 years 1 months ago
Accurately Detecting Source Code of Attacks That Increase Privilege
Host-based Intrusion Detection Systems (IDS) that rely on audit data exhibit a delay between attack execution and attack detection. A knowledgeable attacker can use this delay to d...
Robert K. Cunningham, Craig S. Stevenson
CONEXT
2007
ACM
13 years 10 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
DIMVA
2006
13 years 10 months ago
A Fast Worm Scan Detection Tool for VPN Congestion Avoidance
Finding the cause for congested virtual private network (VPN) links that connect an office network over the Internet to remote subsidiaries can be a hassle. Scan traffic of worm i...
Arno Wagner, Thomas Dübendorfer, Roman Hiesta...
SIGMOD
2001
ACM
142views Database» more  SIGMOD 2001»
14 years 9 months ago
Outlier Detection for High Dimensional Data
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
Charu C. Aggarwal, Philip S. Yu