Search Results - (( attack detection based algorithm ) OR ( based optimization model algorithm ))
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Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system
Published 2022“…In future, the HW-DBN algorithm can be proposed as an integrated deep Learning for the classification performance of attack detection models.…”
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Thesis -
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Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
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Designing a new model for Trojan horse detection using sequential minimal optimization
Published 2024Conference Paper -
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Designing a New Model for Trojan Horse Detection Using Sequential Minimal Optimization
Published 2024“…Therefore, in this research paper, a new model called Efficient Trojan Detection Model (ETDMo) is built to detect trojan horse attacks more efficiently. …”
Proceedings Paper -
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A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection
Published 2021“…The optimization method derives from the metaheuristic algorithm. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Detecting cyber-security attacks is still a challenging task. …”
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A fast learning network with improved particle swarm optimization for intrusion detection system
Published 2019“…This situation makes the detection of cyber-based attacks on computer networks a relevant and challenging area of research. …”
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A new intrusion detection system based on fast learning network and particle swarm optimization
Published 2018“…The model has been applied to the problem of intrusion detection and validated based on the famous dataset KDD99. …”
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Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…Despite attempts to solve the data clustering issues, there are also many variants of modified algorithms in traditional information clustering that attempt to solve issues such as clustering algorithms based on condensation. …”
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Thesis -
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Designing a New Model for Worm Response Using Security Metrics
Published 2024“…Based on the experiment conducted, it produced an overall accuracy rate of 99.38 % using Sequential Minimal Optimization (SMO) algorithm. …”
Proceedings Paper -
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Spam classification based on supervised learning using grasshopper optimization algorithm and artificial neural network
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A new machine learning-based hybrid intrusion detection system and intelligent routing algorithm for MPLS network
Published 2023“…This thesis proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. …”
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A hybrid particle swarm optimization - extreme learning machine approach for intrusion detection system
Published 2018“…Our propose model has been apple based as intrusion detection and validated based on NSL-KDD data set. …”
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Image watermarking optimization algorithms in transform domains and feature regions
Published 2012“…These schemes follow a uniform framework,which is based on the detection of feature points which are commonly invariant to Rotation,Scaling and Translation (RST),therefore they naturally accommodate the framework of geometrically robust image watermarking. …”
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Thesis -
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A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024“…This study proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. …”
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SVM for network anomaly detection using ACO feature subset
Published 2016“…But irrelevant and redundant features are the obstacle for classification algorithm to build an efficient detection model. This paper proposes a detection model, ant system with support vector machine, which uses ant system, a variation of ant colony optimization, to filter out the redundant and irrelevant features for support vector machine classification algorithm. …”
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Conference or Workshop Item -
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A Cryptojacking Detection System With Product Moment Correlation Coefficient (Pmcc) Heatmap Intelligent
Published 2023“…This study aims to develop a cryptojacking detection system based to the random forest algorithm.…”
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Undergraduates Project Papers -
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