Intelligent Cyber Security Framework Based on SC-AJSO Feature Selection and HT-RLSTM Attack Detection

Intelligent Cyber Security Framework Based on SC-AJSO Feature Selection and HT-RLSTM Attack Detection

Cyber security is identified as an emerging concern for information technology management in business and society, owing to swift advances in telecommunication and wireless technologies. Cyberspace security has had a tremendous impact on numerous crucial infrastructures. Along with current security...

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Bibliographic Details
Main Authors: Mahima Dahiya, Nitin Nitin, Deepak Dahiya
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
cyber security
Kernelized Robust Scaler (KRS)
Sine Cosine-Based Artificial Jellyfish Search Optimization (SC-AJSO)
Random Over Sample-Based Density-Based Spatial Clustering Associated with Noise (ROS-DBSCAN)
Hyperparameter Tuning based on Regularized Long Short-Term Memory (HT-RLSTM)
attacks
Online Access:https://www.mdpi.com/2076-3417/12/13/6314

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https://www.mdpi.com/2076-3417/12/13/6314

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