Search Results - (( work detection ((a algorithm) OR (_ algorithm)) ) OR ( botnet detection system algorithm ))
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Systematic analysis on mobile botnet detection techniques using genetic algorithm
Published 2024Subjects:Conference Paper -
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A new mobile botnet classification based on permission and API calls
Published 2024Subjects:Conference Paper -
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Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network
Published 2019“…The proposed technique aims to detect Botnet zero-day attack in real time. This technique applies a backpropagation algorithm to the CTU-13 dataset to train and evaluate the Botnet detection classifier. …”
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Conference or Workshop Item -
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Botnet detection using automated script / Norfathin Rosli
Published 2020“…This paper is about a Botnet Detection using Automated Script, the programming language is and the operating system is Windows 7. …”
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Thesis -
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A behavior based algorithm to detect spam bots
Published 2009“…Spamming causes illegal consuming of network resources in general and mail system in particular. The objective of this research is to detect the source of spam on the network by detecting the abnormal behaviors that reflect spamming activities. …”
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Thesis -
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An enhanced android botnet detection approach using feature refinement
Published 2019“…In order to detect botnet attacks which causes immense chaos and problems to smartphones, first the Android botnet need to be analysed. …”
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Thesis -
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A Static Approach towards Mobile Botnet Detection
Published 2016“…In this study we propose a static approach towards mobile botnet detection. This technique combines MD5, permissions, broadcast receivers as well as background services and uses machine learning algorithm to detect those applications that have capabilities for mobile botnets. …”
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Conference or Workshop Item -
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IoT-based botnet attacks systematic mapping study of literature
Published 2024journal::journal article -
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Edge Detection Algorithm For Image Processing Of Search And Rescue Robot
Published 2016“…Hence, a detailed flowchart of the working procedures of the project based on Canny edge detection algorithm is designed. …”
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Final Year Project -
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Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions
Published 2024“…This paper seeks to conduct a thorough systematic literature review (SLR) and offer a taxonomy of machine learning methods for malware detection that considers these problems by analyzing 77 chosen research works related to malware detection using machine learning algorithm. …”
Article -
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Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali
Published 2020“…The prototype’s functionality testing proves that the prototype works well, and the detection accuracy testing proves that the algorithm shows a good performance in producing the output of segmented image. …”
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Thesis -
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A Recent Research on Malware Detection Using Machine Learning Algorithm: Current Challenges and Future Works
Published 2023Conference Paper -
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Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems
Published 2022“…Most of the currently existing intrusion detection systems (IDS) use machine learning algorithms to detect network intrusion. …”
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Real-time system for facial emotion detection using GPSO algorithm
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Working Paper -
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A new corner detection algorithm for chain code representation.
Published 2005“…A new algorithm is proposed to detect a corner of a thinned binary image that is represented by an eight-connected contour chain code. …”
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Article -
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Facial emotion detection using GPSO and Lucas-Kanade algorithms
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Working Paper -
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Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji
Published 2018“…Final output of the algorithm summarise the bleeding detection for all patient in an excel file. …”
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Thesis -
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Advances in lane marking detection algorithms for all-weather conditions
Published 2021“…The review methodology consists of two major areas, which are a review on the general system models employed in the lane marking detection algorithms and a review on the types of weather conditions considered for the algorithms. …”
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