Results 271 to 280 of about 222,584 (313)

Aesthetics of the Brink: Environmental Crisis and the Sublime in Mary Shelley's Frankenstein and Philip K. Dick's Do Androids Dream of Electric Sheep?

, 2011
Aaron Francis Schneeberger
openalex   +1 more source

Smartphone App-Based Survey Deployment Patterns and Longitudinal Response Rate: Randomized Controlled Trial.

J Med Internet Res
Zhang Y, Rong J, Wang X, Schramm E, Pathiravasan CH, Borrelli B, Faro JM, Benjamin EJ, Trinquart L, Liu C, Murabito JM.   +10 more
europepmc   +1 more source

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Comprehensive Android Malware Detection Based on Federated Learning Architecture

IEEE Transactions on Information Forensics and Security, 2023
Android malware and its variants are a major challenge for mobile platforms. However, there are two main problems in the existing detection methods: $a$ ) The detection method lacks the evolution ability for Android malware, which leads to the low ...
Wenbo Fang, Junjiang He, Wenshan Li, Xiao Lan, Yang Chen, Tao Li, Jiwu Huang, Linlin Zhang   +7 more
semanticscholar   +1 more source

Understanding the Behaviour of Android Ransomware Attacks with Real Smartphones Dataset

2023 International Conference for Advancement in Technology (ICONAT), 2023
Android Security has become a frequently targeted area by cyber attackers and is widely exploited for several benefits by unauthorized users. The open-source model and affordable access to Android platforms enable smartphone users with multiple free ...
Atul Kumar, Ishu Sharma
semanticscholar   +1 more source

A Survey of Android Malware Detection with Deep Neural Models

ACM Computing Surveys, 2020
Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber security research. Deep learning models have many advantages over traditional Machine Learning (ML) models, particularly when there is a large amount of data available.
Junyang Qiu, Jun Zhang, Wei Luo, Lei Pan, S. Nepal, Yang Xiang   +5 more
semanticscholar   +1 more source

Dynamic Android Malware Category Classification using Semi-Supervised Deep Learning

2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2020
Due to the significant threat of Android mobile malware, its detection has become increasingly important. Despite the academic and industrial attempts, devising a robust and efficient solution for Android malware detection and category classification is ...
Samaneh Mahdavifar, A. A. Kadir, Rasool Fatemi, Dima Alhadidi, A. Ghorbani   +4 more
semanticscholar   +1 more source

Android in the Zoo: Chain-of-Action-Thought for GUI Agents

Conference on Empirical Methods in Natural Language Processing
Large language model (LLM) leads to a surge of autonomous GUI agents for smartphone, which completes a task triggered by natural language through predicting a sequence of actions of API.
Jiwen Zhang, Jihao Wu, Yihua Teng, Minghui Liao, Nuo Xu, Xiao Xiao, Zhongyu Wei, Duyu Tang   +7 more
semanticscholar   +1 more source

Android Operating System

An In-Depth Guide to Mobile Device Forensics, 2021
- Android is a software stack for mobile devices that includes an operating system, middleware and key applications. Android, an open source mobile device platform based on the Linux operating system.
Chuck Easttom
semanticscholar   +1 more source