Results 41 to 50 of about 156,914 (217)
Information security challenge of QR codes [PDF]
, 2013 The discipline of information security must adapt to new technologies and methods of interaction with those technologies. New technologies present both challenges and opportunities for the security professional, especially for areas such as digital ...
Kevin Lee +7 more
core +1 more source
PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting
Future Internet, 2020 Android malware has become the topmost threat for the ubiquitous and useful Android ecosystem. Multiple solutions leveraging big data and machine-learning capabilities to detect Android malware are being constantly developed.
Ajit Kumar +5 more
doaj +1 more source
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
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
An antivirus API for android malware recognition
, 2022 S.77-84On the Android platform, antivirus software suffers from significant deficiencies. Due to platform limitations, it cannot access or monitor an Android device's file system, or dynamic behavior of installed apps.
Schütte, J., Kulicke, M., Fedler, R.
core +1 more source
DroidDetector: Android Malware Characterization and Detection Using Deep Learning
Tsinghua Science and Technology, 2016 Smartphones and mobile tablets are rapidly becoming indispensable in daily life. Android has been the most popular mobile operating system since 2012. However, owing to the open nature of Android, countless malwares are hidden in a large number of benign
Zhenlong Yuan, Yongqiang Lu, Yibo Xue
doaj +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
vinayakumarr/Android-Malware-Detection v1
, 2019 Android malware detection using static and dynamic ...
Vinayakumar R
core +1 more source
Android Malware Detection Using BERT [PDF]
, 2022 peer reviewedIn this paper, we propose two empirical studies to (1) detect Android malware and (2) classify Android malware into families. We rst (1) reproduce the results of MalBERT using BERT models learning with Android application's manifests ...
Le Traon, Yves, +9 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