Static malware clustering using enhanced deep embedding method-Reference-Cited by-同舟云学术

Static malware clustering using enhanced deep embedding method

Published:2019-04-16 Issue:19 Volume:31 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Ng Chee Keong¹,Jiang Frank¹^ORCID,Zhang Leo Yu¹,Zhou Wanlei²

Affiliation:

1. Faculty of Science, Engineering and Built EnvironmentDeakin University Geelong Australia

2. Faculty of Engineering and Information TechnologyUniversity of Technology Sydney Ultimo Australia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5234

Reference44 articles.

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4. Classification of malware families based on runtime behaviors;Pektaş A;J Inf Secur Appl,2017

5. BayerU ComparettiPM HlauschekC KruegelC KirdaE.Scalable behavior‐based malware clustering. In: Proceedings of the Network and Distributed System Security Symposium (NDSS);2009;San Diego CA.

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