Search Results - (( java implementation learning algorithm ) OR ( using trust based algorithm ))
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Trust-based enhanced ACO algorithm for secure routing in IoT
Published 2024“…In order to provide an energy-efficient and secure routing method for sensors deployed within a dynamic IoT network, this paper presents a trust-aware enhanced ant colony optimization (ACO)-based routing algorithm, incorporating a lightweight trust evaluation model. …”
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ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs
Published 2021“…However, a trust-based attack detection algorithm (TADA) assesses the reliability of SNs to detect internal attacks. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Honey bee based trust management system for cloud computing
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Statistically controlled robust trust computing mechanism for cloud computing
Published 2014“…Quality of service plays an important role in making distributed systems.Users prefer service providers who meet the commitments specified in the Service Level Agreements to these who violate them.Cloud computing has been the recent entrant to the distributed system market and has revolutionized it by transforming the way the resources are accessed and paid for.Users can access cloud services including hardware, development platform and applications and pay only for the usage similar to the other utilities. Trust computing mechanisms can play an important role in identifying the right service providers who would meet the commitments specified in the Service Level Agreements.Literature has reported several trust computing mechanisms for different distributed systems based on various algorithms and functions.Almost all of them modify the trust scores monotonously even for momentary performance deviations that are reported.This paper proposes a trust computing mechanism that statistically validates the attribute monitored before modifying the trust scores using a hysteresis based algorithm.Hence the proposed mechanism can protect the trust scores from changes due to momentary fluctuations in system performances.The experiments conducted show that the trust scores computed using the proposed mechanism are more representative of the long-term system performance than the ones that were computed without the validation of the inputs.…”
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A behavioral trust model for internet of healthcare things using an improved FP-growth algorithm and Naïve Bayes classifier
Published 2021“…Towards securing these frameworks through an intelligent TMM, this work proposes a machine learning based Behavioral Trust Model (BTM), where an improved Frequent Pattern Growth (iFP-Growth) algorithm is proposed and applied to extract behavioral signatures of various trust classes. …”
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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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Trust based Lightweight Security Protocol for Device to Device Multihop Cellular Communication
Published 2020“…In order to handle these issues, a trustworthy lightweight security scheme that allows multihop secure communication is designed that is called as Trust Based Lightweight Security Protocol in multihop D2D communication (TLwS). …”
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An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Published 2023“…Wireless Sensor Networks (WSNs) are often used for critical applications where trust and security are of paramount importance. …”
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Statistically enhanced multi-dimensional trust computing mechanism for cloud computing
Published 2013“…Users can access cloud services and pay only for the usage similar to utilities.Trust computing systems can be employed for identifying the service providers quality in terms of their adherence to the committed in SLAs.Several trust computing mechanisms have been proposed in literature based on various algorithms and functions.Almost all of them are based on a single performance parameter and modify the trust scores monotonously when performance deviations are reported.This paper proposes a trust computing mechanism that statistically validates the attribute monitored before modifying the trust scores.Hence the proposed mechanism is protected from momentary fluctuations in system performances.The experiments conducted show that the trust scores computed using the proposed mechanism are more representative of the long term system performance than the ones that were computed without the validation of the inputs.…”
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Mitigating malicious nodes using trust and reputation based model in wireless sensor networks
Published 2018“…In this research, three models have been proposed namely Trust and Reputation Model for Wireless Sensor Networks (TReM-WSN), Recommendation-based Trust Model (RecommTM) and a multidimensional Trust and Reputation Model using Social, Quality of service and Ant colony system (TRM-SQA). …”
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Detecting sybil attacks in clustered wireless sensor networks based on energy trust system (ETS)
Published 2017“…It employs multi-level detection based on identity and position verification. Then, a trust algorithm is applied based on the energy of each sensor node. …”
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Does organizational culture matter in the relationship between trust and SMEs performance
Published 2018“…Findings – The research findings were established using SmartPLS Algorithm and bootstrapping functions. …”
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