Title :
Intrusion detection via static analysis
Author :
Wagner, David ; Dean, Drew
Author_Institution :
California Univ., Berkeley, CA, USA
Abstract :
One of the primary challenges in intrusion detection is modelling typical application behavior so that we can recognize attacks by their atypical effects without raising too many false alarms. We show how static analysis may be used to automatically derive a model of application behavior. The result is a host-based intrusion detection system with three advantages: a high degree of automation, protection against a broad class of attacks based on corrupted code, and the elimination of false alarms. We report on our experience with a prototype implementation of this technique
Keywords :
network operating systems; program diagnostics; security of data; computer security; corrupted code; false alarms; host-based intrusion detection system; intrusion detection; mobile code; programming languages; static analysis; typical application behavior; Arm; Automation; Buffer overflow; Computer security; Information security; Intrusion detection; Java; Logic; Protection; Prototypes;
Conference_Titel :
Security and Privacy, 2001. S&P 2001. Proceedings. 2001 IEEE Symposium on
Conference_Location :
Oakland, CA
Print_ISBN :
0-7695-1046-9
DOI :
10.1109/SECPRI.2001.924296
