Results 31 to 40 of about 2,905 (223)

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

Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism

Scientific Reports, 2023
With the rise in popularity and usage of Android operating systems, malicious applications are targeted by applying innovative ways and techniques.
Sana Aurangzeb, Muhammad Aleem
doaj   +1 more source

AntiWare: An automated Android malware detection tool based on machine learning approach and official market metadata [PDF]

, 2016
The prevalence of mobile devices has increased rapidly in recent years. People store valuable data like personal and financial information on those devices.
Kamil Akhuseyinoglu, Akhuseyinoglu, Kamil, Akhuseyinoglu, Nuray Baltaci, Nuray Baltaci Akhuseyinoglu   +3 more
core   +1 more source

TTGNet-AMD: Android malware detection based on multi-modal feature fusion [PDF]

PeerJ Computer Science
The application of static features for Android malware detection has been extensively studied and developed. Existing methods exhibit limitations in both the completeness and discriminability of feature representation, which affects the enhancement of ...
Jiayin Feng, Meiyu Wang, JinLing Song, Chenfeng Yang, Lingzu Zhang, Yang Shen   +5 more
doaj   +2 more sources

A Dynamic DL-Driven Architecture to Combat Sophisticated Android Malware

IEEE Access, 2020
The predominant Android operating system has captured enormous attention globally not only in smart phone industry but also for varied smart devices.
Iram Bibi, Adnan Akhunzada, Jahanzaib Malik, Javed Iqbal, Arslan Musaddiq, Sungwon Kim   +5 more
doaj   +1 more source

A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning

IEEE Access, 2022
The computers nowadays are being replaced by the smartphones for the most of the internet users around the world, and Android is getting the most of the smartphone systems’ market.
Mulhem Ibrahim, Bayan Issa, Muhammed Basheer Jasser   +2 more
doaj   +1 more source

Android Malware Detection based on Factorization Machine [PDF]

, 2018
With the increasing popularity of Android smart phones in recent years, the amount of Android malware is growing rapidly. Due to its great threat and damage to mobile phone users, Android malware detection has become increasingly important in cyber ...
Li, Chenglin
core   +2 more sources

A machine learning technique for Android malicious attacks detection based on API calls [PDF]

Decision Science Letters
Android malware is widespread and it is considered as one of the most threatening attacks recently. The threat is targeting to damage access data or information or leaking them; in general, malicious software consists of viruses, worms, and ...
Mousa AL-Akhras, Saud Alghamdi, Hani Omar, Hazzaa Alshareef   +3 more
doaj   +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

A Lightweight Multi-Source Fast Android Malware Detection Model

Applied Sciences, 2022
Most of the current malware detection methods running on Android are based on signature and cloud technologies leading to poor protection against new types of malware. Deep learning techniques take Android malware detection to a new level.
Tao Peng, Bochao Hu, Junping Liu, Junjie Huang, Zili Zhang, Ruhan He, Xinrong Hu   +6 more
doaj   +1 more source