Malware classification framework for dynamic analysis using Information Theory

• Main Authors: Moshiri, Ehsan, Abdullah, Azizol, Raja Mahmood, Raja Azlina, Muda, Zaiton
• Format: Article
• Language: English
• Published: Indian Society for Education and Environment 2017
• Online Access: http://psasir.upm.edu.my/id/eprint/62343/1/Malware%20classification%20framework%20for%20dynamic%20analysis%20using%20Information%20Theory.pdf; http://psasir.upm.edu.my/id/eprint/62343/; http://www.indjst.org/index.php/indjst/article/view/100023
• Institution: Universiti Putra Malaysia

Objectives: 1. To propose a framework for Malware Classification System (MCS) to analyze malware behavior dynamically using a concept of information theory and a machine learning technique. 2. To extract behavioral patterns from execution reports of malware in terms of its features and generates a d...