Search Results - (( web detection using algorithm ) OR ( java implication based algorithm ))
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The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The methodology is based on JavaScript and PHP languages for developing a new technique called DetectCombined capable of filtering queries using parameterized queries to protect against SQL injection which is a safe method. …”
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An improved framework for content and link-based web spam detection: a combined approach
Published 2021“…The content-based web spam detection framework uses three proposed and two improved content-based algorithms for web spam detection. …”
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Thesis -
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Web application vulnerabilities detection model
Published 2016“…The research will be carried out by using design string matching algorithm. The algorithm is used in order to match the defined criteria of each web vulnerability with the input information about web application. …”
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Research Reports -
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Comparison on machine learning algorithm to fast detection of malicious web pages
Published 2021“…Furthermore, the scale of the web pages (i.e huge data) and with heterogeneous nature of the web itself has complicate the detection process, and unable to detect accurately. …”
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Conference or Workshop Item -
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Web Camera Application For Motion Detection
Published 2003“…In the second stage, simulation done on the frame images using Matlab with Image Processing Toolbox as simulation tool to investigate the possibilities of motion detection algorithm on images captured by web camera. …”
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Enhancing XSS vulnerability detection and removal in web applications using genetic algorithms
Published 2024“…XSS-DETREM has been evaluated empirically using a data set of JSP and Android web applications that have been used in previous studies. …”
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An ensemble feature selection method to detect web spam
Published 2018“…Feature selection is an important issue in data mining, and it is used to reduce dimensions of features set. Web spam detection is one of research fields of data mining. …”
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Towards cross-site scripting vulnerability detection in mobile web applications
Published 2018“…This approach has been used in our previous work and successfully detected the said vulnerabilities in Desktop web applications. …”
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A malicious URLs detection system using optimization and machine learning classifiers
Published 2020“…By using machine learning approach with static analysis technique is used for detecting malicious URLs applications. …”
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Car license plate detection method for Malaysian plates-styles by using a web camera
Published 2010“…As Malaysian plates have special design and they differ from other international plates, this work tries to compare two likely-design methods. The images are taken using a web camera for both the systems. One of the most important contributions in this paper is that the proposed CLPD method uses Vertical Edge Detection Algorithm (VEDA) to extract the vertical edges of plates. …”
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Bot detection using machine learning algorithms on social media platforms
Published 2021“…The components of the study are data, feature selection, and bot detection. The research performs web development and hosting on the collected data with a machine-learning algorithm to perform bot detection in social media networks. …”
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Proceeding Paper -
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Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mar...
Published 2022“…Their facial expression is measure and determine based on Rating of Perceived Exertion (RPE) scale. The object detection machine learning model used in this project is Single Shot Detector (SSD) algorithm. …”
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Cyberbullying detection: a machine learning approach
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Final Year Project / Dissertation / Thesis -
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Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection
Published 2022“…By collecting data from news sites, this system is aimed to provide data for predictive modelling so it can be used to detect patterns in supply risks to create and predict the probability of a temporary event occurring in the future…”
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Final Year Project Report / IMRAD
