Search Results - (( java simulation optimization algorithm ) OR ( based intrusion function algorithm ))
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1
Improving intrusion detection using genetic algorithm
Published 2013“…GAs are search algorithms which are based on the principles of natural selection and genetics. …”
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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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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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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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An efficient anomaly intrusion detection method with evolutionary neural network
Published 2020“…Anomaly-based intrusion detection plays a vital role in protecting networks against malicious activities. …”
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Rangka kerja keselamatan transaksi bagi pelanggan pelayan berasaskan perdagangan elektronik
Published 2003“…Hashing function implementation have been using in this system as its cryptography algorithm. …”
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7
Detecting resource consumption attack over MANET using an artificial immune algorithm
Published 2011“…These algorithms are used to secure both host-based and network-based systems. …”
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A multi-attribute decision model for intrusion response system
Published 2014“…The model is characterized by a new implementation of individual structure based on the response-resource matrix and a fitness function based on cost-benefit approach. …”
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An efficient anomaly intrusion detection method with feature selection and evolutionary neural network
Published 2020“…This research designed an anomaly-based detection, by adopting the modified Cuckoo Search Algorithm (CSA), called Mutation Cuckoo Fuzzy (MCF) for feature selection and Evolutionary Neural Network (ENN) for classification. …”
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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Anomaly detection in ICS datasets with machine learning algorithms
Published 2021“…Detection techniques with machine learning algorithms on public datasets, suitable for intrusion detection of cyber-attacks in SCADA systems, as the first line of defense, have been detailed. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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13
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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14
Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion 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 other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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A security payment model for financial payment using mykad
Published 2011“…ARSA will automatically change its security algorithm based on times and attacks. If there is no attack or intrusion detected, MPM will wait for the scheduled switching within 30 minutes. …”
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17
A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…The main keys of the new classifier are based on the new kernel method, new learning metric and a new optimization algorithm in order to optimize the SVM decision function. …”
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Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems
Published 2019“…Mitigation techniques such as honeypot simulation which helps in vulnerability assessment, along with machine learning algorithms, suitable for intrusion detection and prevention of cyber-attacks in SCADA systems has been detailed.…”
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An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique
Published 2023“…As a result, existing detection mechanisms are unable to detect these forms of cyber intrusions. Thus, this thesis presents a mechanism for detecting DRDoS attacks on DNS that is strengthened by the use of modified metaheuristic algorithms and adaptive thresholding techniques based on machine learning algorithms (EMDDMAT).…”
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