DocumentCode
624013
Title
Mobile malware visual analytics and similarities of Attack Toolkits (Malware gene analysis)
Author
Paturi, Anand ; Cherukuri, Manoj ; Donahue, Jeff ; Mukkamala, Srinivas
fYear
2013
fDate
20-24 May 2013
Firstpage
149
Lastpage
154
Abstract
We use Normalized Compression Distance (NCD) (owing to its capabilities to perform similarity measure of unstructured data) to enumerate code similarity between malicious Android apps and visualize their clusters. Our classification methods and visual analytics can help the antivirus community to ensure that a variant of a known malware can still be detected without the need of creating a signature. We also present when a new malware is released, our methods can be used to understand the similarity/behavior with known malware families.
Keywords
data analysis; data visualisation; invasive software; mobile computing; operating systems (computers); Android application; NCD; attack toolkit; code similarity; data similarity measure; malware family; malware gene analysis; mobile malware; normalized compression distance; visual analytics; Androids; Feature extraction; Humanoid robots; Mobile communication; Trojan horses; Vectors; NCD; attack toolkits; component mobile malware; cosine similarity; similarity measures; web malware;
fLanguage
English
Publisher
ieee
Conference_Titel
Collaboration Technologies and Systems (CTS), 2013 International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-6403-4
Type
conf
DOI
10.1109/CTS.2013.6567221
Filename
6567221
Link To Document