DocumentCode :
3659233
Title :
Automatic detection of vulnerabilities for advanced security analytics
Author :
Marian Gawron;Feng Cheng;Christoph Meinel
Author_Institution :
Hasso Plattner Institute, University of Potsdam, 14482, Potsdam, Germany
fYear :
2015
Firstpage :
471
Lastpage :
474
Abstract :
The detection of vulnerabilities in computer systems and computer networks as well as the weakness analysis are crucial problems. The presented method tackles the problem with an automated detection. For identifying vulnerabilities the approach uses a logical representation of preconditions and postconditions of vulnerabilities. The conditional structure simulates requirements and impacts of each vulnerability. Thus an automated analytical function could detect security leaks on a target system based on this logical format. With this method it is possible to scan a system without much expertise, since the automated or computer-aided vulnerability detection does not require special knowledge about the target system. The gathered information is used to provide security advisories and enhanced diagnostics which could also detect attacks that exploit multiple vulnerabilities of the system.
Keywords :
"Databases","Security","Browsers","Operating systems","Data models","Complexity theory"
Publisher :
ieee
Conference_Titel :
Network Operations and Management Symposium (APNOMS), 2015 17th Asia-Pacific
Type :
conf
DOI :
10.1109/APNOMS.2015.7275369
Filename :
7275369
Link To Document :
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