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Google hacking defence based on honey pages

Ren, Yizhi, Xiang, Yang, Xu, Ming and Hua, Jingyu 2013, Google hacking defence based on honey pages, International journal of applied mathematics and statistics, vol. 51, no. 22, pp. 284-292.

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Title Google hacking defence based on honey pages
Author(s) Ren, Yizhi
Xiang, YangORCID iD for Xiang, Yang
Xu, Ming
Hua, Jingyu
Journal name International journal of applied mathematics and statistics
Volume number 51
Issue number 22
Start page 284
End page 292
Total pages 9
Publisher Centre for Environment, Social and Economic Research Publications
Place of publication Uttarakhand, India
Publication date 2013
ISSN 0973-7545
Keyword(s) containment system
honey page
propagation modelling
search worm
Summary  Many web servers contain some dangerous pages (we name them eigenpages) that can indicate their vulnerabilities. Therefore, some worms such as Santy locate their targets by searching for these eigenpages in search engines with well-crafted queries. In this paper, we focus on the modeling and containment of these special worms targeting web applications. We propose a containment system based on honey pots. We make search engines randomly insert a few honey pages that will induce visitors to the pre-established honey pots among the search results for the arriving queries. And then infectious can be detected and reported to the search engines when their malicious scans hit the honey pots. We find that the Santy worm can be well stopped by inserting no more than two honey pages in every one hundred search results. We also solve the challenging issue to dynamically generate matching honey pages for those dynamically arriving queries. Finally, a prototype is implemented to prove the technical feasibility of this system. © 2013 by CESER Publications.
Language eng
Field of Research 080503 Networking and Communications
080501 Distributed and Grid Systems
Socio Economic Objective 890103 Mobile Data Networks and Services
HERDC Research category C2 Other contribution to refereed journal
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Document type: Journal Article
Collection: School of Information Technology
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