Results 91 to 100 of about 2,905 (223)
Large scale android malware detection [PDF]
, 2018 Smartphones’ popularity and use has been increasing exponentially over the years. This also opens up the chance of damage to be done by malicious software or malware for short.
Kasim, Arief Kresnadi Ignatius
core
Journal of Arrhythmia, Volume 41, Issue 3, June 2025.Recently, some clinicians have been diagnosing and treating arrhythmias on the basis of electrocardiogram (ECG) devices with low accuracy. In Europe and the US, several statements on the use of ECGs have already been published by related academic societies.
Takanori Ikeda +22 more
wiley +1 more source
A static analysis approach for Android permission-based malware detection systems.
PLoS ONE, 2021 The evolution of malware is causing mobile devices to crash with increasing frequency. Therefore, adequate security evaluations that detect Android malware are crucial.
Juliza Mohamad Arif +5 more
doaj +1 more source
TMaD: Three‐tier malware detection using multi‐view feature for secure convergence ICT environments
Expert Systems, Volume 42, Issue 2, February 2025.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
Android Malware Detection via Graphlet Sampling [PDF]
, 2018 Android systems are widely used in mobile & wireless distributed systems. In the near future, Android is believed to dominate the mobile distributed environment.
Sisodia, Devkishen +5 more
core +1 more source
Explaining Black-box Android Malware Detection [PDF]
2018 26th European Signal Processing Conference (EUSIPCO), 2018 Machine-learning models have been recently used for detecting malicious Android applications, reporting impressive performances on benchmark datasets, even when trained only on features statically extracted from the application, such as system calls and permissions.
Marco Melis +4 more
openaire +4 more sources
Transactions on Emerging Telecommunications Technologies, Volume 36, Issue 1, January 2025.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
Semi-Supervised Models for Android Malware Detection [PDF]
, 2021 This thesis focuses on the detection of Android malware. It proposes detection models to detect malicious applications. It introduces Semi-supervised detection models and achieves superior performance.
Shaila Sharmeen (13513624)
core
SECURITY AND PRIVACY, Volume 8, Issue 1, January/February 2025.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
Research on Data Mining of Permission-Induced Risk for Android IoT Devices
Applied Sciences, 2019 With the growing era of the Internet of Things (IoT), more and more devices are connecting with the Internet using android applications to provide various services.
Rajesh Kumar +3 more
doaj +1 more source