Optimization of intrusion detection using likely point pso and enhanced lstm-rnn hybrid technique in communication networks

HIGHLIGHTS

• who: AHMED ABD EL-BASET NKOL and colleagues from the of Communication and Computer Engineering, Faculty of Engineering, Nahda University in Beni Suef, Beni Suef, Egypt , Department of Electrical and Computer Engineering, Effat University, Jeddah, Saudi Arabia have published the research: Optimization of Intrusion Detection Using Likely Point PSO and Enhanced LSTM-RNN Hybrid Technique in Communication Networks, in the Journal: (JOURNAL)
• what: In this study, LSTM is used to detect intrusion using intrusion sequence data from NSL-KDD and is compared with CSE-CIC-IDS2018, BOT _DATASET, UNSW-NB15, and CICIDS2017 datasets.
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