Family Classification of Malicious Applications using Hybrid Analysis and Computationally Economical Machine Learning Techniques
Author:
Affiliation:
1. NIT Rourkela,CSE Dept.,Rourkela,Odisha,India
2. Deemed to be University,Siksha ‘O’ Anusandhan,Bhubaneswar,Odisha,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10101871/10101874/10102030.pdf?arnumber=10102030
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1. Android Malware Detection and Categorization Based on Conversation-level Network Traffic Features
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5. Toward developing a systematic approach to generate benchmark datasets for intrusion detection;shiravi;Computers & Security,2012
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