Extended Abstract: Detecting Scareware by Mining Variable Length Instruction Sequences
Blekinge Institute of Technology, School of Computing2011 (English)Conference paper (Refereed) Published
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.
Scareware, Instruction Sequences, Classification
IdentifiersURN: urn:nbn:se:bth-7558Local ID: oai:bth.se:forskinfo56A7FA91129D76B7C125789A002C8A83ISBN: 978-1-60750-753-6OAI: oai:DiVA.org:bth-7558DiVA: diva2:835183
11th Scandinavian Conference on Artificial Intelligence