基于图像数据集的恶意软件分类深度迁移学习模型的比较研究

Q3 Engineering

International Journal of Information and Computer Security Pub Date : 2022-01-01 DOI:10.1504/ijics.2022.10047490

Amit Singh, R. Ranjan

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Comparative Study of Deep Transfer Learning Models for Malware Classification using Image Datasets

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来源期刊

International Journal of Information and Computer Security Engineering-Safety, Risk, Reliability and Quality

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： - Assurance and integrity of service. - Computer crime prevention/detection, computer forensics and security. - Confidentiality protection, cryptography and data protection. - Database and data security, denial of service protection. - E-commerce security, e-surveillance. - Fraud/hacker/terrorism detection/prevention, information warfare, national security. - Information ethics. - Information privacy issues, information systems/information security, sharing. - Internet abuse, network intruder prevention, internet/network security. - Malicious code/unauthorised access protection, transaction security, virus/worm controls. - Risk management, safety-critical systems. - Secure communications technology and computer systems. - Security control measures, policy models and mechanisms. - Software and hardware architectures. - Wireless/mobile network security.