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Fingerprint Dive into the research topics where Mahmood Yousefiazar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 13 Similar Profiles
Malware Mathematics
Feature extraction Engineering & Materials Science
Learning systems Engineering & Materials Science
Electronic mail Engineering & Materials Science
Computational complexity Engineering & Materials Science
Experiments Engineering & Materials Science
Speech recognition Engineering & Materials Science
Linguistics Engineering & Materials Science

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Research Outputs 2008 2018

  • 106 Citations
  • 3 h-Index
  • 5 Conference proceeding contribution
  • 3 Article
  • 1 Conference paper

Learning latent byte-level feature representation for malware detection

Yousefi-Azar, M., Hamey, L., Varadharajan, V. & Chen, S., 16 Dec 2018, Neural Information Processing: 25th International Conference, ICONIP 2018, Proceedings, Part IV. Cheng, L., Leung, A. C. S. & Ozawa, S. (eds.). Switzerland: Springer-VDI-Verlag GmbH & Co. KG, p. 568-578 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11304 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Malware
Binary
Application programs
N-gram
Classifiers

Malytics: a malware detection scheme

Yousefi-Azar, M., Hamey, L. G. C., Varadharajan, V. & Chen, S., 28 Sep 2018, In : IEEE Access. 6, p. 49418-49431 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Feature extraction
Neural networks
Mobile devices
Malware

Autoencoder-based feature learning for cyber security applications

Yousefiazar, M., Varadharajan, V., Hamey, L. & Tupakula, U., 30 Jun 2017, International Joint Conference on Neural Networks. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 3854-3861 8 p. 7966342

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Intrusion detection
Semantics
Classifiers
Data storage equipment
Malware

Fast, automatic and scalable learning to detect android malware

Yousefi-Azar, M., Hamey, L., Varadharajan, V. & McDonnell, M. D., 2017, Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017. Proceedings, Part V. Liu, D., Xie, S., Li, Y., Zhao, D. & El-Alfy, E-S. M. (eds.). Springer, Springer Nature, p. 848-857 10 p. (Lecture Notes in Computer Science; vol. 10638).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Malware
Extreme Learning Machine
Learning systems
Shape Representation
Image Representation

Semi-supervised convolutional extreme learning machine

Yousefi-Azar, M. & McDonnell, M. D., 30 Jun 2017, IJCNN 2017: Proceedings of the 2017 International Joint Conference on Neural Networks. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 1968-1974 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Learning systems
Color
Learning algorithms
Classifiers
Neural networks