恶意软件/反间谍软件网络攻击的探索性数据分析:从大量网络损失数据集中获得的启示

IF 4.4 4区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Enterprise Information Systems Pub Date : 2024-06-23 DOI:10.1080/17517575.2024.2369952
Farshid Javadnejad, Ahmed M. Abdelmagid, Cesar A. Pinto, Michael Mcshane, Rafael Diaz
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引用次数: 0

摘要

本研究利用 Advisen 网络损失数据集全面评估了勒索软件/恶意软件的风险。它按频率和财务影响对恶意软件类型进行了分类,揭示了低频攻击...
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An exploratory data analysis of malware/ransomware cyberattacks: insights from an extensive cyber loss dataset
This study comprehensively assesses ransomware/malware risks using the Advisen cyber loss dataset. It classifies malware types by frequency and financial impact, revealing that low-frequency attack...
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来源期刊
Enterprise Information Systems
Enterprise Information Systems 工程技术-计算机:信息系统
CiteScore
11.00
自引率
6.80%
发文量
24
审稿时长
6 months
期刊介绍: Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.
期刊最新文献
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