Soteria: Detecting adversarial examples in control flow graph-based malware classifiers

Hisham Alasmary; Ahmed Abusnaina; Rhongho Jang; Mohammed Abuhamad; Afsah Anwar; Dae Hun Nyang; David Mohaisen

doi:10.1109/ICDCS47774.2020.00089

Soteria: Detecting adversarial examples in control flow graph-based malware classifiers

Hisham Alasmary, Ahmed Abusnaina, Rhongho Jang, Mohammed Abuhamad, Afsah Anwar, Dae Hun Nyang, David Mohaisen

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

Original language	English
Title of host publication	Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	888-898
Number of pages	11
ISBN (Electronic)	9781728170022
DOIs	https://doi.org/10.1109/ICDCS47774.2020.00089
State	Published - Nov 2020
Externally published	Yes
Event	40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020 - Singapore, Singapore Duration: Nov 29 2020 → Dec 1 2020

Publication series

Name	Proceedings - International Conference on Distributed Computing Systems
Volume	2020-November

Conference

Conference	40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020
Country/Territory	Singapore
City	Singapore
Period	11/29/20 → 12/1/20

ASJC Scopus Subject Areas

Software
Hardware and Architecture
Computer Networks and Communications

Keywords

Adversarial Machine Learning
Deep Learning
Internet of Things
Malware Detection

Access to Document

10.1109/ICDCS47774.2020.00089

Cite this

Alasmary, H., Abusnaina, A., Jang, R., Abuhamad, M., Anwar, A., Nyang, D. H., & Mohaisen, D. (2020). Soteria: Detecting adversarial examples in control flow graph-based malware classifiers. In Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020 (pp. 888-898). Article 09355825 (Proceedings - International Conference on Distributed Computing Systems; Vol. 2020-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS47774.2020.00089

Soteria: Detecting adversarial examples in control flow graph-based malware classifiers. / Alasmary, Hisham; Abusnaina, Ahmed; Jang, Rhongho et al.
Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 888-898 09355825 (Proceedings - International Conference on Distributed Computing Systems; Vol. 2020-November).

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

Alasmary, H, Abusnaina, A, Jang, R, Abuhamad, M, Anwar, A, Nyang, DH & Mohaisen, D 2020, Soteria: Detecting adversarial examples in control flow graph-based malware classifiers. in Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020., 09355825, Proceedings - International Conference on Distributed Computing Systems, vol. 2020-November, Institute of Electrical and Electronics Engineers Inc., pp. 888-898, 40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020, Singapore, Singapore, 11/29/20. https://doi.org/10.1109/ICDCS47774.2020.00089

Alasmary H, Abusnaina A, Jang R, Abuhamad M, Anwar A, Nyang DH et al. Soteria: Detecting adversarial examples in control flow graph-based malware classifiers. In Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 888-898. 09355825. (Proceedings - International Conference on Distributed Computing Systems). doi: 10.1109/ICDCS47774.2020.00089

Alasmary, Hisham ; Abusnaina, Ahmed ; Jang, Rhongho et al. / Soteria : Detecting adversarial examples in control flow graph-based malware classifiers. Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 888-898 (Proceedings - International Conference on Distributed Computing Systems).

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title = "Soteria: Detecting adversarial examples in control flow graph-based malware classifiers",

keywords = "Adversarial Machine Learning, Deep Learning, Internet of Things, Malware Detection",

author = "Hisham Alasmary and Ahmed Abusnaina and Rhongho Jang and Mohammed Abuhamad and Afsah Anwar and Nyang, {Dae Hun} and David Mohaisen",

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language = "English",

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M3 - Conference contribution

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Soteria: Detecting adversarial examples in control flow graph-based malware classifiers

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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