Search Results - (( developing web prevention algorithm ) OR ( java implication based algorithm ))
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The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…Therefore, it is essential to develop a new technique to authenticate access to database related to web applications and prevent SQL injection vulnerabilities. …”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…This paper is written to present one of such algorithms to prevent SOA attacks on RESTful web services along the discussion on the obtained results of the conducted proof-of-concept on the real-time SOA environment. …”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…This paper is written to present one of such algorithms to prevent SOA attacks on RESTful web services along the discussion on the obtained results of the conducted proof-of-concept on the real-time SOA environment. …”
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Database encryption for a Web-based Claims System
Published 2008“…On the other hand, the analysis of encryption algorithms with Web browsers, the results have shown that Twofish algorithm is best suited to the system that has been developed using ASP Web programming language on Internet Explorer. …”
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An optimized attack tree model for security test case planning and generation
Published 2018“…This paper presents an attack tree modeling algorithm for deriving a minimal set of effective attack vectors required to test a web application for SQL injection vulnerabilities. …”
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Security testing of web applications for detecting and removing second-order SQL injection vulnerabilities
Published 2022“…The test was conducted using eleven PHP Web applications: ten applications available on the internet and that other researchers have used and one application that the researcher developed. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2023“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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A comparative analysis of anti-phishing website techniques: identifying optimal approaches to enhance cybersecurity
Published 2023“…By integrating the Google Safe Browsing List and the Random Forest classifier, a web application is created. Upon receiving the user's URL, the web application utilises a pre-trained Random Forest classifier to ascertain the probability that the requested URL is a fraud site. …”
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Facial recognition attendance system
Published 2023“…A web-based system was developed to let admin and instructor to manage the class and class attendance while the Android-based system was developed to let students to check their attendance.…”
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Online Transaction Fraud Detection Using Backlogging On E-Commerce Website: A Review
Published 2024Article -
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Cyber parental control framework for objectionable web content classification and filtering based on topic modelling using enhanced latent dirichlet allocation / Hamza H. M. Altart...
Published 2023“…This problem has motivated academia and industry to develop frameworks for cyber parental control. Despite substantial advancements in automating web classification that combines web mining and content classification methods, the study identifies a gap in applying advanced machine learning algorithms for superior objectionable web content classification. …”
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Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias
Published 2023“…Thus, this project aims to design, develop, and evaluate web-based application utilizing sentiment analysis, specifically employing the Naïve Bayes algorithm, to identify and analyze suicidal ideation within Twitter posts. …”
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Detection of SQL injection attack using machine learning
Published 2024“…The system utilises a machine learning approach to train and enhance its ability to identify and prevent SQLI attacks accurately. The machine learning algorithms employed in this study encompass Convolutional Neural Networks (CNN), Logistic Regression, Naïve Bayes Classifier, Support Vector Machine, and Random Forest. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Resource management algorithms for wavelength division multiplexing optical metro slotted ring networks
Published 2012“…The proposed DBBR aims also to prevent misbehaving (i.e. malicious) nodes from affecting the network performance. …”
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