Results 31 to 40 of about 3,123 (222)
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 +5 more
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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
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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 +2 more
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Z2F: Heterogeneous graph-based Android malware detection. [PDF]
PLoS OneAndroid malware is becoming more common, and its invasion of smart devices has brought immeasurable losses to people’s lives. Most existing Android malware detection methods extract Android features from the original application files without considering the high-order hidden information behind them, but these hidden information can reflect malicious ...
Ma Z, Luktarhan N.
europepmc +4 more sources
TTGNet-AMD: Android malware detection based on multi-modal feature fusion [PDF]
PeerJ Computer ScienceThe 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 +5 more
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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 +6 more
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A machine learning technique for Android malicious attacks detection based on API calls [PDF]
Decision Science LettersAndroid 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 +3 more
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DroidEnemy: Battling adversarial example attacks for Android malware detection
Digital Communications and Networks, 2022 In recent years, we have witnessed a surge in mobile devices such as smartphones, tablets, smart watches, etc., most of which are based on the Android operating system. However, because these Android-based mobile devices are becoming increasingly popular,
Neha Bala +5 more
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Measurement: Sensors, 2023 Internet of Things (IoT) is extensively implemented using Android applications thus detecting malicious Android apps is necessary. Malicious has been multiplying fast as a result of the growing usage of smartphones.
Tirumala Vasu G +5 more
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GA-StackingMD: Android Malware Detection Method Based on Genetic Algorithm Optimized Stacking
Applied Sciences, 2023 With the rapid development of network and mobile communication, intelligent terminals such as smartphones and tablet computers have changed people’s daily life and work.
Nannan Xie, Zhaowei Qin, Xiaoqiang Di
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