Adaptive machine learning: A framework for active malware detection

Muhammad Aslam; Dengpan Ye; Muhammad Hanif; Muhammad Asad

doi:10.1109/MSN50589.2020.00025

Adaptive machine learning: A framework for active malware detection

Muhammad Aslam, Dengpan Ye, Muhammad Hanif, Muhammad Asad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	57-64
Number of pages	8
ISBN (Electronic)	9781728199160
DOIs	https://doi.org/10.1109/MSN50589.2020.00025
Publication status	Published - Dec 2020
Externally published	Yes
Event	16th International Conference on Mobility, Sensing and Networking, MSN 2020 - Tokyo, Japan Duration: Dec 17 2020 → Dec 19 2020

Publication series

Name	Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020

Conference

Conference	16th International Conference on Mobility, Sensing and Networking, MSN 2020
Country/Territory	Japan
City	Tokyo
Period	12/17/20 → 12/19/20

ASJC Scopus Subject Areas

Computer Networks and Communications
Information Systems and Management
Safety, Risk, Reliability and Quality
Instrumentation

Keywords

Adaptive Machine Learning
Cybersecurity
Detection
Feedforwarding
Malware
Multilayered

Access to Document

10.1109/MSN50589.2020.00025

Cite this

Aslam, M., Ye, D., Hanif, M., & Asad, M. (2020). Adaptive machine learning: A framework for active malware detection. In Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020 (pp. 57-64). Article 9394341 (Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MSN50589.2020.00025

Adaptive machine learning: A framework for active malware detection. / Aslam, Muhammad; Ye, Dengpan; Hanif, Muhammad et al.
Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 57-64 9394341 (Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Aslam, M, Ye, D, Hanif, M & Asad, M 2020, Adaptive machine learning: A framework for active malware detection. in Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020., 9394341, Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020, Institute of Electrical and Electronics Engineers Inc., pp. 57-64, 16th International Conference on Mobility, Sensing and Networking, MSN 2020, Tokyo, Japan, 12/17/20. https://doi.org/10.1109/MSN50589.2020.00025

Aslam M, Ye D, Hanif M, Asad M. Adaptive machine learning: A framework for active malware detection. In Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 57-64. 9394341. (Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020). doi: 10.1109/MSN50589.2020.00025

Aslam, Muhammad ; Ye, Dengpan ; Hanif, Muhammad et al. / Adaptive machine learning : A framework for active malware detection. Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 57-64 (Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020).

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title = "Adaptive machine learning: A framework for active malware detection",

keywords = "Adaptive Machine Learning, Cybersecurity, Detection, Feedforwarding, Malware, Multilayered",

author = "Muhammad Aslam and Dengpan Ye and Muhammad Hanif and Muhammad Asad",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 16th International Conference on Mobility, Sensing and Networking, MSN 2020 ; Conference date: 17-12-2020 Through 19-12-2020",

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doi = "10.1109/MSN50589.2020.00025",

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AU - Hanif, Muhammad

AU - Asad, Muhammad

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KW - Feedforwarding

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ER -

Adaptive machine learning: A framework for active malware detection

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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