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  • 2023

    Learning About the Adversary

    Nadeem, A., Verwer, S. E. & Yang, S. J., 2023, Autonomous Intelligent Cyber Defense Agent (AICA): A Comprehensive Guide. Kott, A. (ed.). 1 ed. Springer, Vol. 87. p. 105-132 28 p. (Advances in Information Security).

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  • 2022

    Intelligent Malware Defenses

    Nadeem, A., Rimmer, V., Wouter, J. & Verwer, S. E., 2022, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 217-253 37 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13049 LNCS).

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  • Open-World Network Intrusion Detection

    Rimmer, V., Nadeem, A., Verwer, S., Preuveneers, D. & Joosen, W., 2022, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 254-283 30 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13049 LNCS).

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  • 2021

    Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families

    Nadeem, A., Hammerschmidt, C. A., Hernandez Ganan, C. & Verwer, S. E., 2021, Malware Analysis using Artificial Intelligence and Deep Learning. Shalaginov, A., Stamp, M. & Alazab, M. (eds.). Cham: Springer, p. 381-409 29 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

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    5 Citations (Scopus)
    192 Downloads (Pure)