论文信息 - A machine learning framework for domain generating algorithm based malware detection - 字舞流文

A machine learning framework for domain generating algorithm based malware detection

Angelin Gladston | S. Keerthana | R. Gayathri | P. AkhilaG.

[1] Yuval Elovici,et al. Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey , 2009, Inf. Secur. Tech. Rep..

[2] Tzi-cker Chiueh,et al. A Study of the Packer Problem and Its Solutions , 2008, RAID.

[3] Sandeep Yadav,et al. Detecting Algorithmically Generated Domain-Flux Attacks With DNS Traffic Analysis , 2012, IEEE/ACM Transactions on Networking.

[4] Joseph Gardiner,et al. On the Security of Machine Learning in Malware C&C Detection , 2016, ACM Comput. Surv..

[5] Tommy Chin,et al. Dynamic generation containment systems (DGCS): A Moving Target Defense approach , 2016, 2016 3rd International Workshop on Emerging Ideas and Trends in Engineering of Cyber-Physical Systems (EITEC).

[6] Ralph Langner,et al. Stuxnet: Dissecting a Cyberwarfare Weapon , 2011, IEEE Security & Privacy.

[7] Tommy Chin,et al. A Machine Learning Framework for Domain Generation Algorithm-Based Malware Detection , 2019, IEEE Access.