Static and Dynamic Malware Analysis Using Machine Learning-Reference-Cited by-同舟云学术

Static and Dynamic Malware Analysis Using Machine Learning

Published:2019-11-02 Issue: Volume: Page:793-806
ISSN:2194-5357
Container-title:First International Conference on Sustainable Technologies for Computational Intelligence
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Author:

Raghuraman Chandni,Suresh Sandhya,Shivshankar Suraj,Chapaneri Radhika

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0029-9_62

Reference19 articles.

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2. Mcafee.com.: McAfee Labs Threats Report (online) (2018). Available at: https://www.mcafee.com/enterprise/en-us/assets/reports/rp-quarterly-threats-dec-2018.pdf . Accessed 3 Feb. 2019

3. KOÇ, U.: Introduction to Android Malware Analysis. (Blog) Uceka (2013). Available at: https://uceka.com/2013/08/06/introduction-to-android-malware-analysis/ . Accessed 18 Dec. 2018

4. Sahs, J., Khan, L.: A machine learning approach to android malware detection. In: European Intelligence and Security Informatics Conference, pp. 141–147. IEEE Computer Society (2012)

5. Arp, D., Spreitzenbarth, M., Hubner, M., Gascon, H., Rieck, K., Siemens, C.E.R.T.: Drebin: effective and explainable detection of android malware in your pocket. In: Ndss, vol. 14, pp. 23–26 (2014)

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