Machine learning models may be used to classify unknown Android malware utilizing characteristics gathered from the dynamic and static analysis of an Android applications. Anti …
Artificial Intelligence Algorithms for Malware Detection in Android ...
Mar 15, 2022 · The support vector machine (SVM), k-nearest neighbors (KNN), linear discriminant analysis (LDA), long short-term memory (LSTM), convolution neural network-long short-term …
Android Malware Detection Using Machine Learning - IEEE …
This paper presents a machine learning approach for Android malware detection. In this work, several machine learning algorithms were utilized, namely k-Nearest neighbor (KNN), Decision …
A Study on Android Malware Detection Using Machine Learning Algorithms
Jul 10, 2023 · Further, we have used various types of ML algorithms such as Random Forest, KNN (k-Nearest Neighbors), Decision Tree, Gradient Boosting Classifier, SVM (Support …
Detection of Android Malware in the Internet of Things through …
Aug 18, 2023 · By taking into account various machine-learning methods, feature selection is performed and the K-Nearest Neighbor (KNN) machine-learning model is proposed. Testing …
Application of Machine Learning Algorithms for Android Malware Detection
Nov 17, 2018 · Hence, in this paper, two Machine Learning (ML) algorithms, called Support Vector Machine (SVM) and K-Nearest Neighbors (KNN), are applied and evaluated to perform …
Malware Detection Using Machine Learning Algorithms in Android …
Oct 6, 2024 · Malware remains a critical challenge within the domain of working frameworks and program, with Android frameworks being no special case. In spite of past endeavors utilizing …
A Comparative Analysis for Android Malware Detection Using Machine ...
This research study explores the usability of machine learning algorithms in classifying whether Android applications are excellent or malicious. The data used.
Machine-Learning-Driven Android Malware Detection: …
Apr 18, 2025 · As a response to this challenge, the cyber security community has turned toward utilizing machine-learning (ML) algorithms to enhance detection capabilities. By analyzing …
K-NEAREST NEIGHBOUR CLASSIFIER USAGE FOR PERMISSION BASED MALWARE ...
Sep 15, 2020 · In this study, K-nearest Neighbourhood (KNN) classifier, one of the machine learning methods, is used. Thus, it is aimed to detect malignant mobile software successfully …
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