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

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...

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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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 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

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.