Results 91 to 100 of about 156,914 (217)
Android Applications Security [PDF]
The use of smartphones worldwide is growing very fast and also the malicious attacks have increased. The mobile security applications development keeps the pace with this trend. The paper presents the vulnerabilities of mobile applications.
Paul POCATILU
core
With the fast growth of mobile phone usage, malicious threats against Android mobile devices are enhanced. The Android system utilizes a wide range of sensitive apps like banking apps; thus, it develops the aim of malware that uses the vulnerability of ...
Shoayee Dlaim Alotaibi +7 more
doaj +1 more source
TMaD: Three‐tier malware detection using multi‐view feature for secure convergence ICT environments
Abstract As digital transformation accelerates, data generated in a convergence information and communication technology (ICT) environment must be secured. This data includes confidential information such as personal and financial information, so attackers spread malware in convergence ICT environments to steal this information.
Jueun Jeon +3 more
wiley +1 more source
Extracting Android Applications Data for Anomaly-based Malware Detection [PDF]
In order to apply any machine learning algorithm or classifier, it is fundamentally important to first and foremost collect relevant features. This is most important in the field of dynamic analysis approach to anomaly malware detection systems. In this
Ume U.A +4 more
core
ANALISIS FORENSIK MALWARE PADA PLATFORM ANDROID
Penggunaan smartphone berplatform android sebagai sistem operasi open source sangat marak. Akan tetapi karena android merupakan sistem open source memudahkan siapa saja untuk mengembangkan aplikasi android yang bisa di download di Android App ...
UNIVERSITAS BINA DARMA, UNIVERSITAS BINA DARMA
core +2 more sources
The advent of the Internet of Things (IoT) has revolutionized the concept of smart homes, allowing users to remotely interact with their houses. This technological development has significantly improved convenience, safety, and overall lifestyles for homeowners.
Absalom E. Ezugwu +10 more
wiley +1 more source
A Study of Android Malware Detection Techniques in Virtual Environment
With the rapid development of mobile environment, cyber-attacks have become more commonplace and more sophisticated. In smartphone operating system market, in particular, Android platform accounts for a large portion (65% or higher).At the same time ...
정현미, 조한진, 김기봉
core
Familial Clustering for Weakly-Labeled Android Malware Using Hybrid Representation Learning
Labeling malware or malware clustering is important for identifying new security threats, triaging and building reference datasets. The state-of-the-art Android malware clustering approaches rely heavily on the raw labels from commercial AntiVirus (AV ...
Zhou, Wanlei +6 more
core +1 more source
Abstract The Internet of Things (IoT) effortlessly enables communication between items on the World Wide Web and other systems. This extensive use of IoTs has created new services and automation in numerous industries, enhancing the standard of living, especially in healthcare.
Ehtesham Safeer +5 more
wiley +1 more source
AMALGAN: Image‐Based Android Malware Classification Using Generative Adversarial Network
The Android malware detection process requires analysing numerous files to ensure system security. Malware can also be embedded in media files and images.
Zahid Hussain Qaisar +2 more
doaj +1 more source

