arXiv subjects

Asaf Shabtai

Publications and source records attributed to Asaf Shabtai.

147 records · Page 9Linked to original sources

arXiv2016

The Security of WebRTC

WebRTC is an API that allows users to share streaming information, whether it is text, sound, video or files. It is supported by all major browsers and has a flexible underlying infrastructure. In this study we review current WebRTC structure and security in the contexts of communication disruption, modification and eavesdropping. In addition, we examine WebRTC security in a few representative scenarios, setting up and simulating real WebRTC environments and attacks.

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arXiv2015

Evaluation of Security Solutions for Android Systems

With the increasing usage of smartphones a plethora of security solutions are being designed and developed. Many of the security solutions fail to cope with advanced attacks and are not aways properly designed for smartphone platforms. Therefore, there is a need for a methodology to evaluate their effectiveness. Since the Android operating system has the highest market share today, we decided to focus on it in this study in which we review some of the state-of-the-art security solutions for Android-based smartphones. In addition, we present a set of evaluation criteria aiming at evaluating security mechanisms that are specifically designed for Android-based smartphones. We believe that the proposed framework will help security solution designers develop more effective solutions and assist security experts evaluate the effectiveness of security solutions for Android-based smartphones.

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arXiv2013

Content-based data leakage detection using extended fingerprinting

Protecting sensitive information from unauthorized disclosure is a major concern of every organization. As an organizations employees need to access such information in order to carry out their daily work, data leakage detection is both an essential and challenging task. Whether caused by malicious intent or an inadvertent mistake, data loss can result in significant damage to the organization. Fingerprinting is a content-based method used for detecting data leakage. In fingerprinting, signatures of known confidential content are extracted and matched with outgoing content in order to detect leakage of sensitive content. Existing fingerprinting methods, however, suffer from two major limitations. First, fingerprinting can be bypassed by rephrasing (or minor modification) of the confidential content, and second, usually the whole content of document is fingerprinted (including non-confidential parts), resulting in false alarms. In this paper we propose an extension to the fingerprinting approach that is based on sorted k-skip-n-grams. The proposed method is able to produce a fingerprint of the core confidential content which ignores non-relevant (non-confidential) sections. In addition, the proposed fingerprint method is more robust to rephrasing and can also be used to detect a previously unseen confidential document and therefore provide better detection of intentional leakage incidents.

cs.CR↗