Mac OS X Malware Detection with Supervised Machine Learning Algorithms-Reference-Cited by-同舟云学术

Mac OS X Malware Detection with Supervised Machine Learning Algorithms

Published:2022 Issue: Volume: Page:193-208
ISSN:
Container-title:Handbook of Big Data Analytics and Forensics
language:
Short-container-title:

Author:

Gharghasheh Samira Eisaloo,Hadayeghparast Shahrzad

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-74753-4_13

Reference40 articles.

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3. H.M. Rouzbahani, H. Karimipour, A. Dehghantanha, R.M. Parizi, Blockchain applications in power systems: A bibliometric analysis, in Blockchain Cybersecurity, Trust and Privacy, ed. by K.-K. R. Choo, A. Dehghantanha, R. M. Parizi, vol. 79, (Springer, Cham)

4. M. Conti, A. Dehghantanha, K. Franke, S. Watson, Internet of things security and forensics: Challenges and opportunities. Futur. Gener. Comput. Syst. 78, 544–546 (2018). https://doi.org/10.1016/j.future.2017.07.060

5. A. Yazdinejad, R.M. Parizi, A. Dehghantanha, K.-K.R. Choo, P4-to-blockchain: A secure blockchain-enabled packet parser for software defined networking. Comput. Secur. 88, 101629 (2020). https://doi.org/10.1016/j.cose.2019.101629

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2. Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis;2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD);2023-11-06

3. Hybrid Optimization Based Long Short-Term Memory for Android Malware Detection;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

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