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Extended Abstract: Detecting Scareware by Mining Variable Length Instruction Sequences
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2011 (English)Conference paper (Refereed) Published
Abstract [en]

This paper presents a scareware detection method that is based on performing data mining on extracted variable length opcode sequences derived from instruction sequences of binary files. Our experimental results show that many common supervised learning algorithms generate accurate models from subsets of our data set.

Place, publisher, year, edition, pages
Trondheim: IOS Press , 2011.
Keyword [en]
Scareware, Instruction Sequences, Classification
National Category
Computer Science
URN: urn:nbn:se:bth-7558Local ID: 978-1-60750-753-6OAI: diva2:835183
11th Scandinavian Conference on Artificial Intelligence
Available from: 2012-09-18 Created: 2011-05-24 Last updated: 2015-06-30Bibliographically approved

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fulltext(130 kB)14 downloads
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Lavesson, Niklas
Computer Science

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ReferencesLink to record
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