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检索条件"主题词=Android Malware Detection"
213 条 记 录,以下是91-100 订阅
排序:
Application of Machine Learning Algorithms for android malware detection  2018
Application of Machine Learning Algorithms for Android Malwa...
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International Conference on Computational Intelligence and Intelligent Systems (CIIS)
作者: Kakavand, Mohsen Dabbagh, Mohammad Dehghantanha, Ali Sunway Univ Sch Sci & Technol Kuala Lumpur Malaysia Univ Guelph Sch Comp Sci Guelph ON Canada
As the popularity of android smart devises increases, the battle of alleviating android malware has been considered as a crucial activity with the advent of new attacks including progressively complicated evasion tech... 详细信息
来源: 评论
Systematic Review on Various Techniques of android malware detection  1
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3rd International Conference on Computing Science, Communication and Security (COMS)
作者: Dave, Dharmesh D. Rathod, Digvijaysinh Natl Forens Sci Univ Gandhinagar India
Smartphone has become the 4th basic necessity of human being after Food, Cloths and Home. It has become an integral part of the life that most of the business and office work can be operated by mobile phone and the de... 详细信息
来源: 评论
android malware detection Using Support Vector Regression for Dynamic Feature Analysis
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INFORMATION 2024年 第10期15卷 658-658页
作者: Aldhafferi, Nahier Imam Abdulrahman Bin Faisal Univ Coll Comp Sci & Informat Technol Dept Comp Informat Syst Dammam 34212 Saudi Arabia
Mobile devices face significant security challenges due to the increasing proliferation of android malware. This study introduces an innovative approach to android malware detection, combining Support Vector Regressio... 详细信息
来源: 评论
Static Analysis for android malware detection with Document Vectors  21
Static Analysis for Android Malware detection with Document ...
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21st IEEE International Conference on Data Mining (IEEE ICDM)
作者: Raghav, Utkarsh Martinez-Marroquin, Elisa Ma, Wanli Univ Canberra Sch IT & Syst Canberra ACT Australia
With the increase of smart mobile devices in use, the number of malware targeting the mobile platforms has been increasing. As the major market player in the industry, android OS has been the favourite target of perpe... 详细信息
来源: 评论
Sensitivity Analysis of Static Features for android malware detection  22
Sensitivity Analysis of Static Features for Android Malware ...
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22nd Iranian Conference on Electrical Engineering (ICEE)
作者: Moghaddam, Samaneh Hosseini Abbaspour, Maghsood Shahid Beheshti Univ Fac Elect & Comp Engn Dept Comp Engn Network Secur LabGC Tehran Iran
The recent explosion of the number of mobile malware in the wild, significantly increases the importance of developing techniques to detect them. There are many published research in this area which employed tradition... 详细信息
来源: 评论
XGBoost-Based android malware detection  13
XGBoost-Based Android Malware Detection
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13th International Conference on Computational Intelligence and Security (CIS)
作者: Wang, Jiong Li, Boquan Zeng, Yuwei Chinese Acad Sci Inst Informat Engn Beijing 100093 Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing 100049 Peoples R China
malware remains the most significant security threat to smartphones in spite of the constantly upgrading of the system. In this paper, we introduce an android malware detection method based on XGBoost model. We subseq... 详细信息
来源: 评论
URefFlow: A Unified android malware detection Model Based on Reflective Calls  37
URefFlow: A Unified Android Malware Detection Model Based on...
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37th IEEE International Performance Computing and Communications Conference (IPCCC)
作者: Liu, Chao Li, Jianan Yu, Min Li, Gang Luo, Bo Chen, Kai Jiang, Jianguo Huang, Weiqing Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China Deakin Univ Sch Informat Technol Geelong Vic Australia Univ Kansas Dept Elect Engn & Comp Sci Lawrence KS 66045 USA
In android malware detection, sensitive dataflows provide more accurate information on the application's behavior than regular features such as signatures and permissions. Currently, android static taint analysis ... 详细信息
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android malware detection Using Local Binary Pattern and Principal Component Analysis
Android Malware Detection Using Local Binary Pattern and Pri...
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The Third International Conference of Pioneering Computer Scientists, Engineers and Educators,ICPCSEE 2017(originally ICYCSEE)
作者: Qixin Wu Zheng Qin Jinxin Zhang Hui Yin Guangyi Yang Kuangsheng Hu College of Computer Science and Electronic Engineering Hunan University Hunan Key Laboratory of Big Data Research and Application Hunan Institute of Metrology and Test
Nowadays, analysis methods based on big data have been widely used in malicious software detection. Since android has become the dominator of smartphone operating system market, the number of android malicious applica... 详细信息
来源: 评论
Dandroid: A Multi-View Discriminative Adversarial Network for Obfuscated android malware detection  20
DANdroid: A Multi-View Discriminative Adversarial Network fo...
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10th ACM Conference on Data and Application Security and Privacy (CODASPY)
作者: Millar, Stuart McLaughlin, Niall del Rincon, Jesus Martinez Miller, Paul Zhao, Ziming Queens Univ Belfast CSIT Belfast Antrim North Ireland Rochester Inst Technol CactiLab Rochester NY USA
We present Dandroid, a novel android malware detection model using a deep learning Discriminative Adversarial Network (DAN) that classifies both obfuscated and unobfuscated apps as either malicious or benign. Our meth... 详细信息
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Emulation Vs Instrumentation For android malware detection
Emulation Vs Instrumentation For Android Malware Detection
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作者: Anukriti Sinha San Jose State University
学位级别:硕士
In resource constrained devices, malware detection is typically based on offline analysis using emulation. In previous work it has been claimed that such emulation fails for a significant percentage of android malware... 详细信息
来源: 评论