NDLI: Flash Crowd Detection Using Decoy Hyperlinks

Content Provider	IEEE Xplore Digital Library
Author	Gavrilis, D. Chatzis, I. Dermatas, E.
Copyright Year	2007
Description	Author affiliation: Patras Univ., Patras (Gavrilis, D.; Chatzis, I.; Dermatas, E.)
Abstract	In this paper a novel method for detecting denial of service attacks (DoS) on web services are presented and evaluated by using decoy hyperlinks embedded in web pages. The decoys are hyperlinks without semantic information or are invisible to the human user, acting like traps for DoS attacks because a human user would never follow them. An attack on a web server is detected when such hyperlink is followed. This approach has significant advantages over other approaches like graphic Turing tests, it is transparent to the user, it can be used on general-purpose web sites and retains the web site's usability. The proposed method has been evaluated using real web sites and the results show false positive rates that are less than $10^{-4}.$ A genetic algorithm is used for the optimum placement of the decoys using simulated web sites. The aspects of this new method are discussed and some experimental results are presented.
Starting Page	466
Ending Page	470
File Size	3607330
Page Count	5
File Format	PDF
ISBN	1424410754
DOI	10.1109/ICNSC.2007.372823
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-15
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer crime Web services Web server Application software Humans Web pages Graphics Testing Usability Genetic algorithms
Content Type	Text
Resource Type	Article

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