Results 41 to 50 of about 178,496 (217)
Analisis Klasifikasi Keamanan dalam Shorting Malware Android dengan Algoritma K-Nearest Neighbors [PDF]
, 2023 Abstrak. Perkembangan teknologi dan popularitas perangkat berbasis Android telah membuka pintu lebar bagi pengembangan aplikasi yang beragam dan inovatif.
Sunge, Aswan S. +2 more
core +1 more source
A Comparative Analysis of Android Malware
Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019 In this paper, we present a comparative analysis of benign and malicious Android applications, based on static features. In particular, we focus our attention on the permissions requested by an application. We consider both binary classification of malware versus benign, as well as the multiclass problem, where we classify malware samples into their ...
Neeraj Chavan +2 more
openaire +4 more sources
A comprehensive review of Android malware: trends, behaviors, taxonomies, and future direction [PDF]
PeerJ Computer ScienceThe increasing prevalence of malicious applications targeting the Android operating system has intensified security challenges in recent years. As Android’s popularity continues to grow, it not only attracts users but also becomes a prime target for ...
Collins Uchenna Chimeleze +2 more
doaj +2 more sources
Monitoring Real Android Malware [PDF]
, 2015 In the most comprehensive study on Android attacks so far (undertaken by the Android Malware Genome Project), the behaviour of more than 1, 200 malwares was analysed and categorised into common, recurring groups of attacks. Based on this work (and the corresponding actual malware files), we present an approach for specifying and identifying these (and ...
Jan-Christoph Küster +1 more
openaire +1 more source
GPFinder: Tracking the invisible in Android malware [PDF]
2017 12th International Conference on Malicious and Unwanted Software (MALWARE), 2017 Malicious Android applications use clever techniques to hide their real intents from the user and avoid detection by security tools. They resort to code obfuscation and dynamic loading, or wait for special events on the system like reboot or WiFi activation.
Leslous, Mourad +3 more
openaire +3 more sources
A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning
IEEE 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
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
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