Effective detection of vulnerable and malicious browser extensions

Author:

Shahriar Hossain,Weldemariam Komminist,Zulkernine Mohammad,Lutellier Thibaud

Funder

Natural Sciences and Engineering Research Council of Canada

Kennesaw State University College of Science

Mathematics Faculty Summer Research Award Program (USA)

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference52 articles.

1. Efficacy of hidden Markov models over neural networks in anomaly intrusion detection;Al-Subaie,2006

2. Vetting browser extensions for security vulnerabilities with VEX;Bandhakavi;Commun ACM,2011

3. Protecting browsers from extension vulnerabilities;Barth,2010

4. Protecting web browser extensions from JavaScript injection attacks;Barua,2013

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