Results 71 to 80 of about 20,046 (244)
A-Pot: A Comprehensive Android Analysis Platform Based on Container Technology
IEEE Access, 2020 Recently, intelligent Android malware avoids being analyzed using anti-emulator, anti-debugging, and rooting detection. Existing emulators have problems to be easily detected by malware that check with hardware or sensor information.
Jungsoo Park +4 more
doaj +1 more source
Malware detection techniques for mobile devices
, 2017 Mobile devices have become very popular nowadays, due to its portability and high performance, a mobile device became a must device for persons using information and communication technologies. In addition to hardware rapid evolution, mobile applications
Amro, Bela
core +1 more source
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
Analysis of Mobile Malware: A Systematic Review of Evolution and Infection Strategies
Journal of Information Security and Cybercrimes Research, 2021 The open-source and popularity of Android attracts hackers and has multiplied security concerns targeting devices. As such, malware attacks on Android are one of the security challenges facing society.
Ashawa Moses, Sarah Morris
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
Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF) [PDF]
, 2019 This research synthesizes an evaluation of feature selection algorithm by utilizing Term Frequency-Inverse Document Frequency (TF-IDF) as the main algorithm in Android malware detection.
Mazlan, Nurul Hidayah
core +1 more source
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
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
Mobile SDNs: Associating End‐User Commands with Network Flows in Android Devices
IET Communications, Volume 19, Issue 1, January/December 2025.In our research, we combine user interface context with network flow data to improve network profiling on Android, achieving over 98.5% accuracy. We create “AppJudicator”, an Android access control app using host‐based SDN and default Android APIs, effectively addressing security concerns in enterprise networks.
Shuwen Liu +4 more
wiley +1 more source
Review of Android Malware Detection Based on Deep Learning
IEEE Access, 2020 At present, smartphones running the Android operating system have occupied the leading market share. However, due to the Android operating system's open-source nature, Android malware has increased dramatically.
Zhiqiang Wang, Qian Liu, Yaping Chi
doaj +1 more source