Results 31 to 40 of about 16,685 (199)
FAM: Featuring Android Malware for Deep Learning-Based Familial Analysis
IEEE 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
ACTS: Extracting Android App Topological Signature through Graphlet Sampling [PDF]
, 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
IEEE 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
Android Security: A Survey of Issues, Malware Penetration, and Defenses [PDF]
, 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
Journal 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
An Android Malicious Code Detection Method Based on Improved DCA Algorithm
Entropy, 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
DETEKSI MALWARE ANDROID BERDASARKAN SYSTEM CALL MENGGUNAKAN ALGORTIMA SUPPORT VECTOR MACHINE [PDF]
, 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
A machine learning technique for Android malicious attacks detection based on API calls [PDF]
Decision Science LettersAndroid 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 Malware Clustering through Malicious Payload Mining
, 2017 Clustering has been well studied for desktop malware analysis as an effective triage method. Conventional similarity-based clustering techniques, however, cannot be immediately applied to Android malware analysis due to the excessive use of third-party ...
I Santos +7 more
core +1 more source
Analysis and evaluation of SafeDroid v2.0, a framework for detecting malicious Android applications [PDF]
, 2018 Android smartphones have become a vital component of the daily routine of millions of people, running a plethora of applications available in the official and alternative marketplaces.
Argyriou, Marios +2 more
core +2 more sources