Search Results - (( botnet detection _ algorithm ) OR ( based optimization bat algorithm ))*
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Systematic analysis on mobile botnet detection techniques using genetic algorithm
Published 2024Subjects:Conference Paper -
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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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A comprehensive review of mobile botnet detection using genetic algorithm: A systematic review
Published 2024Subjects:journal::journal article -
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Systematic Analysis on Mobile Botnet Detection Techniques Using Genetic Algorithm
Published 2024“…Furthermore, this paper also discusses the challenges and the potential research for future work with relate of the genetic algorithm. This research paper can be used as a reference and guidance for further study on mobile botnet detection techniques.…”
Proceedings 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 automated script / Norfathin Rosli
Published 2020“…Nowadays, as we know the virus or malware spread can be so fast and usually hard to detect. This simulation is to detect the Botnet presence and identifying its behaviour. …”
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Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…Firstly, a new strategy based on a combined method (i.e. single-objective Gravitational Search (GSA) with Bat Algorithm (BAT) (SOGS-BAT)) algorithm is proposed in which relies on the closed interval between 0 and 1 to avoid falling into local search. …”
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Layered Botnet Detection Framework Based On Signal Processing And Discrete Time Analysis
Published 2012“…This thesis presents a new approach in the area of botnet detection. It introduces a framework called Layered Botnet Detection Framework (LBDF) that can detect botnet members efficiently. …”
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Botnet Detection in IoT Devices Using Random Forest Classifier with Independent Component Analysis
Published 2022“…This paper represents a model that accounts for the detection of botnets through the use of machine learning algorithms. …”
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…This new classification can be used as the input for mobile botnet detection for future work, especially for financial matters.…”
Proceedings Paper -
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Hybrid bat algorithm-artificial neural network for modeling operating photovoltaic module temperature: article / Noor Rasyidah Hussin
Published 2014“…As a conclusion, the MAPE obtained for the Bat Algorithm based Multi-Layer Feedforward Neural Network is 4.79 in %.…”
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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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Hybrid bat algorithm hybrid-artificial neural network for modeling operating photovoltaic module temperature / Noor Rasyidah Hussin
Published 2014“…As a conclusion, the MAPE obtained for the Bat Algorithm based Multi-Layer Feedforward Neural Network is 4.79 in %.…”
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ABC: Android botnet classification using feature selection and classification algorithms
Published 2024journal::journal article -
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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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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…The Modified Adaptive Bats Sonar Algorithm (MABSA), initially designed for single objective optimization and inspired by colony bats' echolocation, has demonstrated efficiency with its simple structure and reduced computation time. …”
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