JavaScript Metamorphic Malware Detection Using Machine Learning Techniques

2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT) ◽

TFDroid: Android Malware Detection by Topics and Sensitive Data Flows Using Machine Learning Techniques

10.1109/infoct.2019.8711179 ◽

2019 ◽

Author(s):

Songhao Lou ◽

Shaoyin Cheng ◽

Jingjing Huang ◽

Fan Jiang

Keyword(s):

Machine Learning ◽

Malware Detection ◽

Sensitive Data ◽

Android Malware ◽

Android Malware Detection ◽

Learning Techniques ◽

Data Flows

MLDroid—framework for Android malware detection using machine learning techniques

Neural Computing and Applications ◽

10.1007/s00521-020-05309-4 ◽

2020 ◽

Author(s):

Arvind Mahindru ◽

A. L. Sangal

Keyword(s):

Machine Learning ◽

Malware Detection ◽

Android Malware ◽

Android Malware Detection ◽

Automated multi-level malware detection system based on reconstructed semantic view of executables using machine learning techniques at VMM

Future Generation Computer Systems ◽

10.1016/j.future.2017.06.002 ◽

2018 ◽

Vol 79 ◽

pp. 431-446 ◽

Cited By ~ 7

Author(s):

Ajay Kumara M.A. ◽

Jaidhar C.D.

Keyword(s):

Machine Learning ◽

Detection System ◽

Malware Detection ◽

Semantic View ◽

Learning Techniques ◽

Multi Level

A New Malware Detection System Using Machine Learning Techniques for API Call Sequences

Journal of Applied Security Research ◽

10.1080/19361610.2018.1387734 ◽

2017 ◽

Vol 13 (1) ◽

pp. 45-62 ◽

Cited By ~ 11

Author(s):

M. Asha Jerlin ◽

K. Marimuthu

Keyword(s):

Machine Learning ◽

Detection System ◽

Malware Detection ◽

A Static Feature Selection-based Android Malware Detection Using Machine Learning Techniques

2020 International Conference on Smart Electronics and Communication (ICOSEC) ◽

10.1109/icosec49089.2020.9215355 ◽

2020 ◽

Author(s):

Aviral Sangal ◽

Harsh Kumar Verma

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Malware Detection ◽

Android Malware ◽

Android Malware Detection ◽

Learning Techniques ◽

Static Feature

Accuracy Improved Malware Detection Method using Snort Sub-signatures and Machine Learning Techniques

2018 10th Computer Science and Electronic Engineering (CEEC) ◽

10.1109/ceec.2018.8674233 ◽

2018 ◽

Cited By ~ 2

Author(s):

Ban M. Khammas ◽

Sami Hasan ◽

Rabah Abood Ahmed ◽

Joseph Stephen Bassi ◽

Ismahani Ismail

Keyword(s):

Machine Learning ◽

Detection Method ◽

Malware Detection ◽

Malware Detection in Encrypted TLS Traffic using Machine Learning Techniques

The Journal of Korean Institute of Information Technology ◽

10.14801/jkiit.2021.19.10.125 ◽

2021 ◽

Vol 19 (10) ◽

pp. 125-136

Author(s):

Deok-jo Jeon ◽

Dong-Gue Park

Keyword(s):

Machine Learning ◽

Malware Detection ◽

MalDy: Portable, data-driven malware detection using natural language processing and machine learning techniques on behavioral analysis reports

Digital Investigation ◽

10.1016/j.diin.2019.01.017 ◽

2019 ◽

Vol 28 ◽

pp. S77-S87 ◽

Cited By ~ 8

Author(s):

ElMouatez Billah Karbab ◽

Mourad Debbabi

Keyword(s):

Machine Learning ◽

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Malware Detection ◽

Data Driven ◽

Behavioral Analysis ◽

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies ◽

Analysis of Machine learning Techniques Used in Behavior-Based Malware Detection

10.1109/act.2010.33 ◽

2010 ◽

Cited By ~ 93

Author(s):

Ivan Firdausi ◽

Charles lim ◽

Alva Erwin ◽

Anto Satriyo Nugroho

Keyword(s):

Machine Learning ◽

Malware Detection ◽

Learning Techniques ◽

Behavior Based