Search Results - (( knowledge attack detection algorithm ) OR ( java simulation optimization algorithm ))
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An evaluation on KNN-SVM algorithm for detection and prediction of DDoS attack
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Application of machine learning and artificial intelligence in detecting SQL injection attacks
Published 2024“…The study uses a mixed-methods approach to evaluate how well different AI and ML algorithms identify SQL injection attacks by combining algorithmic evaluation with empirical investigation. …”
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…Thus, this study proposes the development of algorithms to detect and classify jamming attacks using a set of parameters on the physical layer and MAC in MANET. …”
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Thesis -
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Hybrid Classification Algorithm For Denial Of Service Attack Detection Using Rough Set Theory And Artificial Immune
Published 2024thesis::master thesis -
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Improving intrusion detection using genetic algorithm
Published 2013“…A great deal of attention has been recently paid to anomaly detection to accomplish intrusion detection. However, a major problem with this approach is maximizing detection rate and accuracy, as well as minimizing false alarm i.e., inability to correctly discover particular types of attacks. …”
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Cross-site scripting detection based on an enhanced genetic algorithm
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Conference or Workshop Item -
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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An enhanced classification framework for intrusions detection system using intelligent exoplanet atmospheric retrieval algorithm
Published 2022“…The results show that the proposed intelligent exoplanet atmospheric retrieval (INARA) algorithm has improved accuracy and is able to detect new attack types efficiently.…”
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Detection of Denial of Service Attacks against Domain Name System Using Neural Networks
Published 2009“…With the prior knowledge of DoS attacks against DNS, we used a network simulator to model DNS traffic with high variability. …”
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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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Security alert framework using dynamic tweet-based features for phishing detection on twitter
Published 2019“…Many phishing detection methods, ranging from blacklists, heuristics and visual similarity to machine learning are used to detect phishing attacks for spam emails, machine learning approaches achieve the best phishing email detection results. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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KM-NEU: an efficient hybrid approach for intrusion detection system
Published 2014“…The anomaly-based Intrusion Detection Systems (IDS) are able to detect unknown attacks. …”
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
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An improved hybrid learning approach for better anomaly detection
Published 2011“…Nonetheless, current anomaly detection techniques are unable to detect all types of attacks accurately and correctly. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The outcome of this study will add to the body of knowledge the most important and recent proposed solutions to mitigate SQL injection attack, in particular those based on machine learning algorithm…”
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