NDLI: A Metric for Identifying System Exploitation using Buffer Overflow

Content Provider	IEEE Xplore Digital Library
Author	Allgeier, M. Desoky, A.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Eng. & Comput. Sci., Louisville Univ., KY (Allgeier, M.; Desoky, A.)
Abstract	Buffer overflow attacks affect the workings of different processes within any computer. It is hypothesized that the number of processes running on the system will change when a buffer overflow has occurred. This hypothesis is tested by gathering data from a Red Hat Linux 9 system and a Windows XP system both before and after exploitation. By using statistical analysis, the data from both systems are compared. The results from the experiment support the hypothesis. On the Red Hat system, the number of processes running after exploitation increases. On the Windows system, the number of processes running decreases due to the fact that explorer responds to the change by restarting itself. Thus, the results support the hypothesis that the number of processes running on a system change after an exploit occurs. These results indicate that a program that monitors the number of processes running on the system and provides statistical feedback about that data will offer a warning if a system has been compromised
Starting Page	474
Ending Page	477
File Size	111005
Page Count	4
File Format	PDF
ISBN	0780397533
DOI	10.1109/ISSPIT.2006.270848
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Buffer overflow Computer worms Operating systems Programming profession Computer languages Internet Signal processing Information technology Computer science System testing
Content Type	Text
Resource Type	Article

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