Results 81 to 90 of about 2,904 (224)

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, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli   +4 more
openaire   +4 more sources

Smart Homes of the Future

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, Olutosin Taiwo, Ojonukpe S. Egwuche, Laith Abualigah, Annette Van Der Merwe, Jayanta Pal, Apu K. Saha, Ahmed Ibrahim Alzahrani, Fahad Alblehai, Japie Greeff, Micheal O. Olusanya   +10 more
wiley   +1 more source

Advanced hybrid malware identification framework for the Internet of Medical Things, driven by deep learning

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, Sidra Tahir, Asif Nawaz, Mamoona Humayun, Momina Shaheen, Maqbool Khan   +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, Xiaosong Zhang, Riaz Ullah Khan, Abubakar Sharif   +3 more
doaj   +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, Craig A. Shue, Joseph P. Petitti, Yunsen Lei, Yu Liu   +4 more
wiley   +1 more source

AMALGAN: Image‐Based Android Malware Classification Using Generative Adversarial Network

The Journal of Engineering
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, Muhammad Faheem, Muhammad Waqar Ashraf   +2 more
doaj   +1 more source

Novel Multi-Classification Dynamic Detection Model for Android Malware Based on Improved Zebra Optimization Algorithm and LightGBM

Sensors
With the increasing popularity of Android smartphones, malware targeting the Android platform is showing explosive growth. Currently, mainstream detection methods use static analysis methods to extract features of the software and apply machine learning ...
Shuncheng Zhou, Honghui Li, Xueliang Fu, Daoqi Han, Xin He   +4 more
doaj   +1 more source

Deep Belief Networks-based framework for malware detection in Android systems

Alexandria Engineering Journal, 2018
Malware is the umbrella term that denotes attacking any system by malicious software. During the last few years, the popularity of Android smartphones led to the sneak of several malware applications into different Android markets without any difficulty.
Dina Saif, S.M. El-Gokhy, E. Sallam
doaj   +1 more source

Towards autonomous device protection using behavioural profiling and generative artificial intelligence

IET Cyber-Physical Systems: Theory &Applications, Volume 10, Issue 1, January/December 2025.
The article proposes a novel concept of autonomous device protection based on behavioural profiling by continuously monitoring internal resource usage and exploiting a large language model to distinguish between benign and malicious behaviour. Abstract Demand for autonomous protection in computing devices cannot go unnoticed, considering the rapid ...
Sandeep Gupta, Bruno Crispo
wiley   +1 more source

A Study of Android Malware Detection Techniques in Virtual Environment

, 2016
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
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