A hybrid pattern based text mining approach for malware detection using DBScan-Reference-Cited by-同舟云学术

A hybrid pattern based text mining approach for malware detection using DBScan

Published:2016-12 Issue:2-4 Volume:4 Page:141-149
ISSN:2277-9078
Container-title:CSI Transactions on ICT
language:en
Short-container-title:CSIT

Author:

Malhotra Aashima,Bajaj Karan

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s40012-016-0095-y.pdf

Reference26 articles.

1. Felt AP, Finifter M, Chin E, Hanna S, Wagner D (2011) A survey of mobile malware in the wild. In: Proceedings of the 1st ACM workshop on security and privacy in smartphones and mobile devices, pp 3–14

2. A Worldwide Smartphone Users Report. http://dazeinfo.com/2014/12/18/worldwide-smartphone-users-2014-2018-forecast-india-china-usa-report/ . Accessed 3 Apr 2016

3. Egele M, Kruegel C, Kirda E, Vigna G (2011) PiOS: detecting privacy leaks in PiOS applications. In: NDSS 2011, 18th annual network and distributed system security symposium, 6–9 February 2011, San Diego, CA, USA

4. Mobile Malware Problem. www.tmcnet.com . Accessed 7 Apr 2016

5. Apvrille A (2014) The evolution of mobile malware. Comput Fraud Secur 2014(8):18–20

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