Abstract
Spyware – malicious software that passively collects users’ information without their knowledge – is a prevalent threat. After a spyware program has collected and possibly analyzed enough data, it usually transmits such information back to its author. In this paper, we build a system to detect such malicious behaving software, based on our prior work on detecting crimeware. Our system is specifically designed to fit with thin-client computing, which is popular in some corporate environments. We provide implementation details, as well as experimental results that demonstrate the scalability and effectiveness of our system.
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Pappas, V., Bowen, B.M., Keromytis, A.D. (2011). Evaluation of a Spyware Detection System Using Thin Client Computing. In: Rhee, KH., Nyang, D. (eds) Information Security and Cryptology - ICISC 2010. ICISC 2010. Lecture Notes in Computer Science, vol 6829. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24209-0_15
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DOI: https://doi.org/10.1007/978-3-642-24209-0_15
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