Search Results - (( botnet detection techniques algorithm ) OR ( java application using algorithm ))
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Systematic analysis on mobile botnet detection techniques using genetic algorithm
Published 2024Conference Paper -
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Systematic Analysis on Mobile Botnet Detection Techniques Using Genetic Algorithm
Published 2024“…Therefore in this research paper, a systematic analysis on mobile botnet detection techniques is further investigated and evaluated. …”
Proceedings Paper -
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A comprehensive review of mobile botnet detection using genetic algorithm: A systematic review
Published 2024journal::journal article -
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Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network
Published 2019“…This technique applies a backpropagation algorithm to the CTU-13 dataset to train and evaluate the Botnet detection classifier. …”
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ABC: android botnet classification using feature selection and classification algorithms
Published 2017“…Due to the fast modifications in the technologies used by malicious application (app) developers, there is an urgent need for more advanced techniques for Android botnet detection. In this paper, a new approach for Android botnet classification based on features selection and classification algorithms is proposed. …”
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Article -
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An enhanced android botnet detection approach using feature refinement
Published 2019“…Although the existing analyses have been obtained a good accuracy, but the attackers find novel ways of skipping the detection while performing harmful activities. Furthermore, the existing detection techniques can detect only malicious Android applications, while they are unable to detect the Android botnet applications. …”
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Thesis -
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ABC: Android botnet classification using feature selection and classification algorithms
Published 2024journal::journal article -
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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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A smart framework for mobile botnet detection using static analysis
Published 2020“…This study proposes a smart framework for mobile botnet detection using static analysis. This technique combines permissions, activities, broadcast receivers, background services, API and uses the machine-learning algorithm to detect mobile botnets applications. …”
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IoT-based botnet attacks systematic mapping study of literature
Published 2024journal::journal article -
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Secure IIoT-enabled industry 4.0
Published 2021“…IIoT-enabled botnets are highly scalable, technologically diverse, and highly resilient to classical and conventional detection mechanisms. …”
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Android mobile malware detection model based on permission features using machine learning approach
Published 2022“…Android malware has the ability to abduct user credentials and cause a resource to maltreat. Different techniques have been adopted to detect and prevent the spread of Android malware, including anomaly, signature-based, and hybrid detection techniques. …”
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Thesis -
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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Provider independent cryptographic tools
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Monograph -
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Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
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Direct approach for mining association rules from structured XML data
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Thesis -
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Real-time algorithmic music composition application.
Published 2022“…This project is about the study of evolutionary music, and focuses on the development of an algorithmic music composer using the Java programming language. …”
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Final Year Project / Dissertation / Thesis
