Advanced Search
CS Search Google Search
Subscribers, please login

Published Articles >> Table of Contents >> Abstract

2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications   pp. 554-559
On the Automated Creation of Understandable Positive Security Models for Web Applications

Full Article Text: Download PDF of full textBuy this article

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PERCOM.2008.59
Send link to a friend

Abstract
Web applications pose new security-related challengessince attacks on web applications strongly differ from thoseon client-server applications. Traditional network-basedfirewall systems offer no protection against this kind of at-tacks since they occur on the application-level. The cur-rent solution is the manual definition of large sets of filter-ing rules which should prevent malicious attempts from be-ing successful. We propose a new framework which shouldavoid this tedious work. The basic idea is the definition of adescription language for positive security models taking theparticularities of web applications into account. We thenpresent adaptive techniques which employ this descriptionlanguage in order to describe the valid communication toa given web application. The simplicity of the descriptionlanguage allows the easy identification of unintentionallyincorporated vulnerabilities. Experiments for several real-world web applications demonstrate the usefulness of theproposed approach.
Additional Information

Citation:  Christian Bockermann, Ingo Mierswa, Katharina Morik, "On the Automated Creation of Understandable Positive Security Models for Web Applications," percom, pp. 554-559,  2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications,  2008

Similar Articles

Abstract Contents
Abstract
Citation




Free access to

  • Abstracts
  • Selected PDFs

Electronic subscribers login to:

  • Access HTML/PDFs of full text articles

Subscription information

Get a Web account

PDFs require Adobe Acrobat Reader.

Peer Review Notice

Give us Feedback