"Why Should I Trust Your IDS?": An Explainable Deep Learning Framework for Intrusion Detection Systems in Internet of Things Networks

Internet of Things (IoT) is an emerging paradigm that is turning and revolutionizing worldwide cities into smart cities. However, this emergence is accompanied with several cybersecurity concerns due mainly to the data sharing and constant connectivity of IoT networks. To address this problem, multi...

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Bibliographic Details
Published in:	IEEE open journal of the Communications Society 2022, Vol.3 (11), p.1164-1176
Main Authors:	Houda, Zakaria Abou El, Brik, Bouziane, Khoukhi, Lyes
Format:	Article
Language:	English
Subjects:	Algorithms Artificial intelligence Artificial neural networks Computer architecture Computer security Cybersecurity Data retrieval Decisions Deep learning Engineering Sciences Explainable artificial intelligence Internet of Things Intrusion detection intrusion detection system Intrusion detection systems local and global explanations Machine learning Neural networks Predictive models
Citations:	Items that this one cites Items that cite this one
Online Access:	Get full text
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