NDLI: Assessing Vulnerabilities in Apache and IIS HTTP Servers

Content Provider	IEEE Xplore Digital Library
Author	Sung-Whan Woo Alhazmi, O.H. Malaiya, Y.K.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO (Sung-Whan Woo; Alhazmi, O.H.; Malaiya, Y.K.)
Abstract	We examine the feasibility of quantitatively characterizing the vulnerabilities in the two major HTTP servers. In particular, we investigate the applicability of quantitative empirical models to the vulnerabilities discovery process for these servers. Such models can allow us to predict the number of vulnerabilities that may potentially be present in a server but may not yet have been found. The data on vulnerabilities found in the two servers is mined and analyzed. We explore the applicability of a time-based and an effort-based vulnerability discovery model. The effort-based model requires data of the current market-share of a server. Both models have been successfully used for vulnerabilities in the major operating systems. Our results show that both vulnerabilities discovery models fit the data for the HTTP servers well. We also examine a separate classification schemes for server vulnerabilities that based on the source of error, and then explore the applicability of the quantitative methods to individual classes
Starting Page	103
Ending Page	110
File Size	202224
Page Count	8
File Format	PDF
ISBN	0769525393
DOI	10.1109/DASC.2006.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Protocols Databases Operating systems Data security Predictive models Internet Web server National security Open source software
Content Type	Text
Resource Type	Article

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