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Malware, Encryption, and Rerandomization - Everything is Under Attack

Galteland, Herman; Gjøsteen, Kristian
Journal article, Peer reviewed
Accepted version
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URI
http://hdl.handle.net/11250/2451076
Date
2017
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  • Institutt for matematiske fag [1393]
  • Publikasjoner fra CRIStin - NTNU [19736]
Original version
Lecture Notes in Computer Science. 2017, 233-251.   10.1007/978-3-319-61273-7_12
Abstract
A malware author constructing malware wishes to infect a specific location in the network. The author will then infect n initial nodes with n different variations of his malicious code. The malware continues to infect subsequent nodes in the network by making similar copies of itself. An analyst defending M nodes in the network observes N infected nodes with some malware and wants to know if any sample is targeting any of his nodes. To reduce his work, the analyst need only look at unique malware samples. We show that by encrypting the malware payload and using rerandomization to replicate malware, we can make the N observed malware samples distinct and increase the analyst’s work factor substantially.
Publisher
Springer Verlag
Journal
Lecture Notes in Computer Science

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