Emerging Trends in ICT Security by Babak Akhgar & Hamid R. Arabnia

Author:Babak Akhgar & Hamid R. Arabnia
Language: eng
Format: epub
ISBN: 9780124104877
Publisher: Elsevier Inc.
Published: 2013-11-07T16:00:00+00:00

R Shaikh, 2013 [10]

In this most recent paper on CSRF [10], the author describes how most client-side CSRF defenses arebased on either anomaly or signature detection schemes, and as such, are too restrictive or not scalable. With the assumption that pseudo-random values in requests do not provide sufficient protection, the author proceeds to describe a solution employing a variation of Bayesian Belief Networks, a graphical probability model that aims to predict whether the current request constitutes a CSRF. In this model, the probability of a request being a CSRF is measured based on the characteristics of previously monitored requests. The model is implemented through a browser plugin that monitors and collects requests and proceeds to suppress authentication data from suspected CSRF requests. Figure 20.2 illustrates the screening process for each request according to the proposed algorithm [10].

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