Results 31 to 40 of about 20,046 (244)

A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning

open access: yesIEEE Access, 2022
The computers nowadays are being replaced by the smartphones for the most of the internet users around the world, and Android is getting the most of the smartphone systems’ market.
Mulhem Ibrahim   +2 more
doaj   +1 more source

FAM: Featuring Android Malware for Deep Learning-Based Familial Analysis

open access: yesIEEE Access, 2022
To handle relentlessly emerging Android malware, deep learning has been widely adopted in the research community. Prior work proposed deep learning-based approaches that use different features of malware, and reported a high accuracy in malware detection,
Younghoon Ban   +4 more
doaj   +1 more source

Gauss-Mapping Black Widow Optimization With Deep Extreme Learning Machine for Android Malware Classification Model

open access: yesIEEE Access, 2023
Nowadays, the malware on the Android platform is found to be increasing. With the prevalent use of code obfuscation technology, the precision of antivirus software and classical detection techniques is low.
Ghadah Aldehim   +7 more
doaj   +1 more source

ACTS: Extracting Android App Topological Signature through Graphlet Sampling [PDF]

open access: yes, 2016
Android systems are widely used in mobile & wireless distributed systems. In the near future, Android is believed to dominate the mobile distributed environment.
Al Hasan, Mohammad   +5 more
core   +1 more source

An Android Malicious Code Detection Method Based on Improved DCA Algorithm

open access: yesEntropy, 2017
Recently, Android malicious code has increased dramatically and the technology of reinforcement is increasingly powerful. Due to the development of code obfuscation and polymorphic deformation technology, the current Android malicious code static ...
Chundong Wang   +5 more
doaj   +1 more source

A machine learning technique for Android malicious attacks detection based on API calls [PDF]

open access: yesDecision Science Letters
Android malware is widespread and it is considered as one of the most threatening attacks recently. The threat is targeting to damage access data or information or leaking them; in general, malicious software consists of viruses, worms, and ...
Mousa AL-Akhras   +3 more
doaj   +1 more source

Android Security: A Survey of Issues, Malware Penetration, and Defenses [PDF]

open access: yes, 2014
Smartphones have become pervasive due to the availability of office applications, Internet, games, vehicle guidance using location-based services apart from conventional services such as voice calls, SMSes, and multimedia services.
Bharmal, A.   +6 more
core   +1 more source

Trends in Android Malware Detection

open access: yesJournal of Digital Forensics, Security and Law, 2013
This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and
Kaveh Shaerpour   +2 more
openaire   +3 more sources

A Dynamic DL-Driven Architecture to Combat Sophisticated Android Malware

open access: yesIEEE Access, 2020
The predominant Android operating system has captured enormous attention globally not only in smart phone industry but also for varied smart devices.
Iram Bibi   +5 more
doaj   +1 more source

DETEKSI MALWARE ANDROID BERDASARKAN SYSTEM CALL MENGGUNAKAN ALGORTIMA SUPPORT VECTOR MACHINE [PDF]

open access: yes, 2018
Android merupakan salah satu sistem operasi berbasis linux pada smartphone yang memiliki banyak fungsi sehingga dapat membantu kinerja penggunanya. Kelebihan Android adalah bersifat open source code sehingga memudahkan para pengembang untuk membuat dan ...
Akbi, Denar Regata   +3 more
core   +1 more source

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