M
Monika Roopak
Researcher at Newcastle University
Publications - 4
Citations - 315
Monika Roopak is an academic researcher from Newcastle University. The author has contributed to research in topics: Denial-of-service attack & Deep learning. The author has an hindex of 3, co-authored 3 publications receiving 109 citations.
Papers
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Proceedings ArticleDOI
Deep Learning Models for Cyber Security in IoT Networks
TL;DR: This paper proposes deep learning models for the cyber security in IoT (Internet of Things) networks and evaluated those using latest CICIDS2017 datasets for DDoS attack detection which has provided highest accuracy as 97.16% also proposed models are compared with machine learning algorithms.
Proceedings ArticleDOI
An Intrusion Detection System Against DDoS Attacks in IoT Networks
TL;DR: An Intrusion Detection System (IDS) founded on the fusion of a Jumping Gene adapted NSGA-II multi-objective optimization method for data dimension reduction and the Convolutional Neural Network integrating Long Short-Term Memory (LSTM) deep learning techniques for classifying the attack is proposed.
Journal ArticleDOI
Multi-objective-based feature selection for DDoS attack detection in IoT networks
TL;DR: The proposed method outperforms other proposed FS methods for the detection of DDoS attacks by an IDS and has reduced the total number of features by nearly 90%.
Proceedings ArticleDOI
Automated Planning to Prioritise Digital Forensics Investigation Cases Containing Indecent Images of Children
TL;DR: In this article , a planning approach is presented where AP is used to generate investigative actions in 60-minute segments, before re-planning to account for discoveries made during the execution of planned actions.