- Title
- A Framework for the Static Analysis of Malware focusing on Signal Processing Techniques
- Creator
- Zeisberger, Sascha
- Creator
- Irwin, Barry V W
- Date Issued
- 2012
- Date
- 2012
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/427914
- Identifier
- vital:72473
- Identifier
- https://www.researchgate.net/profile/Barry-Ir-win/publication/327622833_A_Framework_for_the_Static_Analysis_of_Mal-ware_focusing_on_Signal_Processing_Techniques/links/5b9a1396a6fdcc59bf8dfc87/A-Framework-for-the-Static-Analysis-of-Malware-focusing-on-Signal-Processing-Techniques.pdf
- Description
- The information gathered through conventional static analysis of malicious binaries has become increasingly limited. This is due to the rate at which new malware is being created as well as the increasingly complex methods employed to obfuscating these binaries. This paper discusses the development of a framework to analyse malware using signal processing techniques, the initial iteration of which focuses on common audio processing techniques such as Fourier transforms. The aim of this research is to identify characteristics of malware and the encryption methods used to obfuscate malware. This is achieved through the analysis of their binary structure, potentially providing an additional metric for autonomously fingerprinting malware.
- Format
- 2 pages
- Format
- Language
- English
- Relation
- Proceedings of Southern African Telecommunication Networks and Applications Conference (SATNAC)
- Relation
- Zeisberger, S. and Irwin, B., 2012. A Framework for the Static Analysis of Malware focusing on Signal Processing Techniques. In Southern African Telecommunications and Applications Conference (SATNAC)
- Relation
- Proceedings of Southern African Telecommunication Networks and Applications Conference (SATNAC) volume 2012 number 1 1 2 2012 Conference
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the Southern Africa Telecommunication Networks and Applications Conference (SA TNAC) Statement (https://www.satnac.org.za/)
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- Visitors: 83
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Collections
Irwin, Barry V W (Prof)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
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