FSDroid:- A feature selection technique to detect malware from Android using Machine Learning Techniques
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چکیده
منابع مشابه
Android Malware Characterization using Metadata and Machine Learning Techniques
Android Malware has emerged as a consequence of the increasing popularity of smartphones and tablets. While most previous work focuses on inherent characteristics of Android apps to detect malware, this study analyses indirect features and meta-data to identify patterns in malware applications. Our experiments show that: (1) the permissions used by an application offer only moderate performance...
متن کاملA Study of Android Malware Detection Techniques and Machine Learning
Android OS is one of the widely used mobile Operating Systems. The number of malicious applications and adwares are increasing constantly on par with the number of mobile devices. A great number of commercial signature based tools are available on the market which prevent to an extent the penetration and distribution of malicious applications. Numerous researches have been conducted which claim...
متن کاملDetecting Android Malware By Using A Machine Learning Ensemble Method
Android has become the most popular mobile operating system in recent years. As its popularity has increased, so have the number of attacks to the platform. Samples of malware have been found in different popular Android apps markets, including the Google Play store. Most anti-virus software uses a signature-based approach to detect malware, however, it fails to detect unknown malware. Differen...
متن کاملImproving Feature Selection Techniques for Machine Learning
As a commonly used technique in data preprocessing for machine learning, feature selection identifies important features and removes irrelevant, redundant or noise features to reduce the dimensionality of feature space. It improves efficiency, accuracy and comprehensibility of the models built by learning algorithms. Feature selection techniques have been widely employed in a variety of applica...
متن کاملA Review on Malware Detection Schemes Using Machine Learning Techniques
Malware is a one type of software which can harm the computer’s operating system and it may also steal the personal information from the computer. Malware can be made by using any programming language by the programmer. It is very difficult to define a malware with a single term or a single name. A malware can be considered as a malicious software or malcode or it is also known as a malicious c...
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ژورنال
عنوان ژورنال: Multimedia Tools and Applications
سال: 2021
ISSN: 1380-7501,1573-7721
DOI: 10.1007/s11042-020-10367-w