Author:
Homayoun Sajad,Ahmadzadeh Marzieh,Hashemi Sattar,Dehghantanha Ali,Khayami Raouf
Publisher
Springer International Publishing
Reference46 articles.
1. Nikola Milosevic, Ali Dehghantanha, and Kim-Kwang Raymond Choo. Machine learning aided android malware classification. Computers & Electrical Engineering, feb 2017. https://doi.org/10.1016/j.compeleceng.2017.02.013 .
2. Malware statistics & trends report, feb 2017. https://www.av-test.org/en/statistics/malware/ .
3. Mohsen Damshenas, Ali Dehghantanha, and Ramlan Mahmoud. A survey on malware propagation, analysis, and detection. International Journal of Cyber-Security and Digital Forensics (IJCSDF), 2 (4): 10–29, 2013.
4. Mohsen Damshenas, Ali Dehghantanha, Kim-Kwang Raymond Choo, and Ramlan Mahmud. M0droid: An android behavioral-based malware detection model. Journal of Information Privacy and Security, 11 (3): 141–157, jul 2015. https://doi.org/10.1080/15536548.2015.1073510 .
5. Hamed Haddad Pajouh, Reza Javidan, Raouf Khayami, Dehghantanha Ali, and Kim-Kwang Raymond Choo. A two-layer dimension reduction and two-tier classification model for anomaly-based intrusion detection in IoT backbone networks. IEEE Transactions on Emerging Topics in Computing, pages 1–1, 2016. https://doi.org/10.1109/tetc.2016.2633228 .
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