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Machine Learning based Intrusion Detection System for IoT A..:

, In: Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics,

Mukhtar Bhatti, Muhammad Asim ; Awais, Muhammad ; Iqtidar, Aamna - p. 1-6 , 2023

Link: https://dl.acm.org/doi/10.1145/3625343.3625356

RT 
T1 <cTitle>Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics</cTitle>: T1 <Title>Machine Learning based Intrusion Detection System for IoT Applications using Explainable AI</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3625356&Exemplar=1&LAN=DE
				
A1 Mukhtar Bhatti, Muhammad Asim
A1 Awais, Muhammad
A1 Iqtidar, Aamna
PB ACM
YR 2023
K1 Artificial Intelligence (AI)
K1 Decision Tree
K1 Internet of things
K1 Intrusion detection system (IDS)
K1 Machine learning (ML)
K1 Multilayer Perceptron (MLP)
K1 XGBoost classifier
K1 Security and privacy
K1 Computing methodologies
K1 Intrusion/anomaly detection and malware mitigation
K1 Social and professional topics
K1 Computing/technology policy
K1 Machine learning
K1 Intrusion detection systems
K1 Computer crime
K1 Learning paradigms
K1 Machine learning approaches
K1 Supervised learning
SP 1
OP 6
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3625343.3625356
DO https://dl.acm.org/doi/10.1145/3625343.3625356
SF ELIB - SuUB Bremen

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