DocumentCode :
2946537
Title :
Determining vulnerability resolution time by examining malware proliferation rates
Author :
Seideman, Jeremy D. ; Khan, Bilal ; Ben Brahim, Ghassen
Author_Institution :
Grad. Sch. & Univ. Center, City Univ. of New York, New York, NY, USA
fYear :
2013
fDate :
1-5 July 2013
Firstpage :
1678
Lastpage :
1682
Abstract :
One of the ways that malware infects is by exploiting weaknesses in computer systems, often through conditions in software. When this happens, software and operating system vendors must repair these vulnerabilities by patching their software. However, vendors can release patches but cannot force users to apply them. Malware attempts to proliferate without regard to the state of the infected system; it is only once that the malware infection is stopped that we can truly say that systems are patched to eliminate that exploit. By examining appearance and disappearance of malware types, as determined through dynamic analysis of malware samples, classified by behavioral profiles correlated with a timeline of discovery dates, we can determine a more real-world average time for effective patch times, as opposed to the time it takes for a vendor to release a patch for a discovered vulnerability.
Keywords :
invasive software; operating systems (computers); computer system weaknesses; dynamic analysis; effective patch time; malware appearance; malware disappearance; malware proliferation rate; vulnerability resolution time; Computers; Educational institutions; Electronic mail; Malware; Operating systems; Malware; Malware Emergence; Malware Trends; Patch Time; Vulnerability Resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2013 9th International
Conference_Location :
Sardinia
Print_ISBN :
978-1-4673-2479-3
Type :
conf
DOI :
10.1109/IWCMC.2013.6583808
Filename :
6583808
Link To Document :
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