Towards improving detection performance for malware with a correntropy-based deep learning method

Towards improving detection performance for malware with a correntropy-based deep learning method

With the rapid development of Internet of Things (IoT) technologies, the detection and analysis of malware have become a matter of concern in the industrial application of Cyber-Physical System (CPS) that provides various services using the IoT paradigm. Currently, many advanced machine learning met...

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Bibliographic Details
Main Authors: Xiong Luo, Jianyuan Li, Weiping Wang, Yang Gao, Wenbing Zhao
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-11-01
Series:Digital Communications and Networks
Subjects:
Malware detection
Mixture correntropy
Deep learning
Convolutional neural network (CNN)
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864821000110

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http://www.sciencedirect.com/science/article/pii/S2352864821000110

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