Titlebook: Machine Learning for Cyber Security; Third International Xiaofeng Chen,Hongyang Yan,Xiangliang Zhang Conference proceedings 2020 Springer

猜忌

Classification of Malware Variant Based on Ensemble Learning,alware family classification experiment was performed. The results show that the method can reach an accuracy rate of 98.95% and the AUC value of 0.9976, meaning that it can effectively analyze and classify malware variants.

JAMB

Cerebral Microbleeds Detection Based on 3D Convolutional Neural Network,ut using 3D FCN, followed by 3D AlexNet which extracts the spatial features of CMBs and distinguishes the false positive samples from candidate regions. Experimental results show that the proposed method can realize precise detection of CMBs in magnetic resonance images (MRI) by improving detection sensitivity and reducing false positive samples.

彩色

壮丽的去

fluffy

哎呦

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620602.jpg

知识分子

978-3-030-62222-0Springer Nature Switzerland AG 2020

连系

Machine Learning for Cyber Security978-3-030-62223-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

青石板

Dynamic Adjusting ABC-SVM Anomaly Detection Based on Weighted Function Code Correlation,xperimental results show that the proposed feature extraction algorithm can effectively reflect the changes of functional control behavior in process operations, and the improved ABC-SVM anomaly detection model can improve the detection ability by comparing with other anomaly detection engines.

连锁

AndrOpGAN: An Opcode GAN for Android Malware Obfuscations,rted through an Opcode Frequency Optimal Adjustment algorithm (OFOA). OFOA module can keep the APK running normally after insertion with a low modification cost. Test results against four detectors show that more than 99% APKs processed by AndrOpGAN could bypass detections successfully. Test results