Birkbeck, University of London logo
BIROn - Birkbeck Institutional Research Online

    Browse by Person

    Up a level
    Export as [feed] Atom [feed] RSS
    Group by: Item Type | Date | Journal or Publication Title | No Grouping
    Jump to: 26 August 2019
    Number of items: 1.

    26 August 2019

    Parker, L. and Yoo, Paul D. and Asyhari, T. and Chermak, L. and Jhi, Y. and Taha, K. (2019) DEMISe: interpretable deep extraction and mutual information selection techniques for IoT intrusion detection. In: UNSPECIFIED (ed.) ARES '19 Proceedings of the 14th International Conference on Availability, Reliability and Security. ACM. ISBN 9781450371643.

    This list was generated on Tue Nov 26 06:47:46 2024 GMT.