Jul 1, 2005 · The goal of this paper is to identify problems with Combined Strategy Intrusion Detection (CSIDS) as described in Sodiya et al. (2004), with a ...
Abstract. Purpose - A work that combined strategies in designing anomaly-based instruction detection system (IDS) was described in CSIDS.
The goal of this paper is to identify problems with Combined Strategy Intrusion. Detection (CSIDS) as described in Sodiya et al. (2004), with a view to coming ...
This new work seeks to improve on CSIDS. Design/methodology/approach The shortcomings of CSIDS were first identified and critically analysed. An improved ...
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A work that combined strategies in designing anomaly-based instruction detection system (IDS) was described in CSIDS. This new work seeks to improve on CSIDS.
Oct 22, 2024 · Researchers have used many techniques in designing intrusion detection systems (IDS) and yet we still do not have an effective IDS.
Abstract Researchers have used many techniques in designing intrusion detection systems (IDS) and yet we still do not have an effective IDS. The interest in ...
Jan 29, 2023 · We propose a novel two-stage intrusion detection model that combines machine learning and deep learning to deal with the class imbalance of network traffic ...
Deep Learning-Based Two-Step Approach for Intrusion Detection in ...
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The first tier utilizes deep autoencoders to compress the training dataset, focusing on extracting only the most relevant features. The second tier utilizes a ...
A two-tier architecture to detect intrusions on network level is proposed, providing high TP and low false positive rate and it also analyzes the usual ...