DagRep.7.7.44.pdf
- Filesize: 1.69 MB
- 10 pages
Document
Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition (Dagstuhl Seminar 17281)
Authors and all authors of the abstracts in this report
-
Part of:
Issue:
Dagstuhl Reports, Volume 7, Issue 7
Volume: Dagstuhl Reports, Volume 7
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2018-02-07
Cite As Get BibTex
Sarah Zennou, Saumya K. Debray, Thomas Dullien, and Arun Lakhothia. Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition (Dagstuhl Seminar 17281). In Dagstuhl Reports, Volume 7, Issue 7, pp. 44-53, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/DagRep.7.7.44
Abstract
This report summarizes the program and the outcomes of the Dagstuhl Seminar 17281, entitled "Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition". The seminar brought together practitioners and researchers from industry and academia to discuss the state-of-the art in the analysis of malware from both a big data perspective and a fine grained analysis. Obfuscation was also considered. The meeting created new links within this very diverse community.
Subject Classification
Keywords
- big data
- executable analysis
- machine learning
- malware
- obfuscation
- reverse engineering
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads