兰州大学机构库

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A Real-Time and Adaptive-Learning Malware Detection Method Based on API-Pair Graph 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 208120-208135
Authors:  S. Yang;  S. Li;  W. Chen;  Y. Liu
Adobe PDF(3734Kb)  |  Favorite  |    Submit date:2020/12/18
Malware detection  adaptive learning  real-time detection  API-pair graph  deep learning  
基于机器学习的恶意软件分类研究 学位论文
硕士, 兰州: 兰州大学, 2018
Authors:  陆中州
Favorite  |    Submit date:2019/01/18
恶意软件  机器学习  分类  随机森林  卷积神经网络  
基于特征向量与对比学习的安卓恶意文件检测 学位论文
工学硕士, 兰州: 兰州大学, 2021
Authors:  杨少杰
Favorite  |    Submit date:2021/12/06
恶意文件检  对比学习  自编码器  意图向量  
Intelligent malware detection based on graph convolutional network 期刊论文
JOURNAL OF SUPERCOMPUTING, 2022, 卷号: 78, 期号: 3, 页码: 4182-4198
Authors:  Li, Shanxi;  Zhou, Qingguo;  Zhou, Rui;  Lv, Qingquan
Favorite  |    Submit date:2023/01/03
Malware  Convolution  Markov processes  Principal component analysis  Directed graphs  Static analysis  AI Technologies  Convolutional networks  Cycle graphs  Detection methods  Detection technology  Malware detection  Predictive performance  Principal component analysis method  
Intelligent malware detection based on graph convolutional network 期刊论文
JOURNAL OF SUPERCOMPUTING, 2022, 卷号: 78, 期号: 3, 页码: 4182-4198
Authors:  Li, Shanxi;  Zhou, QG(周庆国);  Zhou, R(周睿);  Lv, Qingquan
Favorite  |    Submit date:2022/11/08
Malware  Convolution  Markov processes  Principal component analysis  Directed graphs  Static analysis  AI Technologies  Convolutional networks  Cycle graphs  Detection methods  Detection technology  Malware detection  Predictive performance  Principal component analysis method  
Intelligent malware detection based on graph convolutional network 期刊论文
JOURNAL OF SUPERCOMPUTING, 2021, 卷号: 78, 期号: 3, 页码: 4182-4198
Authors:  Li, Shanxi;  Zhou, QG(周庆国);  Zhou, R(周睿);  Lv, Qingquan
Favorite  |    Submit date:2021/12/15
Malware detection  Directed cyclic graph  Markov chain  Graph convolutional network  Machine learning  Convolution  Convolutional neural networks  Directed graphs  Malware  Markov chains  AI Technologies  Convolutional networks  Cycle graphs  Detection methods  Detection technology  Predictive performance  Principal component analysis method  
Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 69979-69996
Authors:  Feng, Fang;  Li, Kuan-Ching;  Shen, Jun;  Zhou, QG(周庆国);  Yang, Xuhui
Adobe PDF(2508Kb)  |  Favorite  |    Submit date:2020/07/21
Feature extraction  Support vector machines  Linear programming  Credit cards  Prediction algorithms  Indexes  Licenses  
基于机器学习的未知恶意代码自优化实时检测技术研究 学位论文
工学博士, 兰州: 兰州大学, 2021
Authors:  李善玺
Favorite  |    Submit date:2021/12/06
恶意代码  API调用  机器学习  自优化  实时检测  
Malware Detection with Directed Cyclic Graph and Weight Merging 期刊论文
KSII Transactions on Internet and Information Systems, 2021, 卷号: 15, 期号: 9, 页码: 3258-3273
Authors:  Li, Shanxi;  Zhou, Qingguo;  Wei, Wei
Favorite  |    Submit date:2021/12/15
malware detection  directed cyclic graph  Markov Chain  machine learning  neural network  Directedgraphs  Featureextraction  Malware  Markovprocesses  Neuralnetworks  Staticanalysis  Computingsystem  Detectionmethods  Directedcyclicgraphs  Dynamicanalysismethod  Featuredatabase  Featuressets  Malwaredetection  Matchinganalysis  Neural  networks  Signature  matching  
A novel approach for mobile malware classification and detection in Android systems 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 3, 页码: 3529-3552
Authors:  Zhou, Qingguo;  Feng, Fang;  Shen, Zebang;  Zhou, Rui;  Hsieh, Meng-Yen;  Li, Kuan-Ching
Favorite  |    Submit date:2019/10/21
Security  Mobile malware detection  System call  Innovative classification algorithm  Dynamic analysis