A Novel Malware Analysis Framework for Malware Detection and Classification using Machine Learning Approach-Reference-Cited by-同舟云学术

A Novel Malware Analysis Framework for Malware Detection and Classification using Machine Learning Approach

Published:2018-01-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th International Conference on Distributed Computing and Networking
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Author:

Sethi Kamalakanta¹,Chaudhary Shankar Kumar¹,Tripathy Bata Krishan¹,Bera Padmalochan¹

Affiliation:

1. Indian Institute of Technology Bhubaneswar, Orissa, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3154273.3154326

Reference10 articles.

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2. Cuckoo Foundation. 2014. Automated Malware Analysis - Cuckoo Sandbox. Available at: http://www.cuckoosandbox.org/. (Feb 2014). {Online}. Cuckoo Foundation. 2014. Automated Malware Analysis - Cuckoo Sandbox. Available at: http://www.cuckoosandbox.org/. (Feb 2014). {Online}.

3. The AV-TEST Institute. 2017. current malware statistics. Available at: https://www.av-test.org/en/statistics/malware/. (May 2017). {Online}. The AV-TEST Institute. 2017. current malware statistics. Available at: https://www.av-test.org/en/statistics/malware/. (May 2017). {Online}.

4. Prof. M. P. Wankhade Jyoti Landage. 2013. Malware and Malware Detection Techniques: A Survey. Available at: http://www.ijert.org/view-pdf/6744/malware-and-malware-detection-techniques--a-survey/. (December 2013). {Online}. Prof. M. P. Wankhade Jyoti Landage. 2013. Malware and Malware Detection Techniques: A Survey. Available at: http://www.ijert.org/view-pdf/6744/malware-and-malware-detection-techniques--a-survey/. (December 2013). {Online}.

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