Results 1 to 10 of about 222,584 (313)

A Review of Android Malware Detection Approaches Based on Machine Learning

IEEE Access, 2020
Android applications are developing rapidly across the mobile ecosystem, but Android malware is also emerging in an endless stream. Many researchers have studied the problem of Android malware detection and have put forward theories and methods from ...
Kaijun Liu, Shengwei Xu, Guoai Xu, Miao Zhang, Dawei Sun, Haifeng Liu   +5 more
semanticscholar   +5 more sources

Android in the Wild: A Large-Scale Dataset for Android Device Control [PDF]

Neural Information Processing Systems, 2023
There is a growing interest in device-control systems that can interpret human natural language instructions and execute them on a digital device by directly controlling its user interface. We present a dataset for device-control research, Android in the
Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, T. Lillicrap   +4 more
semanticscholar   +1 more source

AutoDroid: LLM-powered Task Automation in Android [PDF]

ACM/IEEE International Conference on Mobile Computing and Networking, 2023
Mobile task automation is an attractive technique that aims to enable voice-based hands-free user interaction with smartphones. However, existing approaches suffer from poor scalability due to the limited language understanding ability and the non ...
Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu   +9 more
semanticscholar   +1 more source

Android malware category detection using a novel feature vector-based machine learning model

Cybersecurity, 2023
Malware attacks on the Android platform are rapidly increasing due to the high consumer adoption of Android smartphones. Advanced technologies have motivated cyber-criminals to actively create and disseminate a wide range of malware on Android ...
Hashida Haidros, Rahima Manzil, S. M. Naik   +2 more
semanticscholar   +1 more source

Metaheuristics with Deep Learning Model for Cybersecurity and Android Malware Detection and Classification

Applied Sciences, 2023
Since the development of information systems during the last decade, cybersecurity has become a critical concern for many groups, organizations, and institutions.
Ashwag Albakri, Fatimah Alhayan, Nazik Alturki, Saahirabanu Ahamed, Shermin Shamsudheen   +4 more
semanticscholar   +1 more source

Android Malware Detection Based on Hypergraph Neural Networks

Applied Sciences, 2023
Android has been the most widely used operating system for mobile phones over the past few years. Malicious attacks against android are a major privacy and security concern. Malware detection techniques for android applications are therefore significant.
Dehua Zhang, Xiangbo Wu, Erlu He, Xiaobo Guo, Xiaopeng Yang, Ruibo Li, Hao Li   +6 more
doaj   +1 more source

DroidPortrait: Android Malware Portrait Construction Based on Multidimensional Behavior Analysis

Applied Sciences, 2020
Recently, security incidents such as sensitive data leakage and video/audio hardware control caused by Android malware have raised severe security issues that threaten Android users, so thus behavior analysis and detection research researches of ...
Xin Su, Lijun Xiao, Wenjia Li, Xuchong Liu, Kuan-Ching Li, Wei Liang   +5 more
doaj   +1 more source

Deep Learning for Android Malware Defenses: A Systematic Literature Review [PDF]

ACM Computing Surveys, 2021
Malicious applications (particularly those targeting the Android platform) pose a serious threat to developers and end-users. Numerous research efforts have been devoted to developing effective approaches to defend against Android malware. However, given
Yue Liu, C. Tantithamthavorn, Li Li, Yepang Liu   +3 more
semanticscholar   +1 more source

LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers

IEEE Access, 2022
In this study, a framework for Android malware detection based on permissions is presented. This framework uses multiple linear regression methods. Application permissions, which are one of the most critical building blocks in the security of the Android
Durmuş Özkan Şahın, S. Akleylek, E. Kılıç   +2 more
semanticscholar   +1 more source

ROBOTIC SYSTEMS FOR SPECIAL AND MEDICAL INTELLIGENT ASSISTANCE

Наука и инновации в медицине, 2016
Exoskeletons gradually come to all spheres of human activities - from building houses to sports, from medicine to military usage. Exoskeleton complexes are rapidly developing with the help of 3D printing, microwires, new sources of energy and computing ...
Е А Dudorov, А А Bogdanov, A F Permyakov   +2 more
doaj   +1 more source