Suppr超能文献

新冠疫情后对网络安全问题的深入研究:一项调查。

A deeper look into cybersecurity issues in the wake of Covid-19: A survey.

作者信息

Alawida Moatsum, Omolara Abiodun Esther, Abiodun Oludare Isaac, Al-Rajab Murad

机构信息

Department of Computer Sciences, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates.

Department of Computer Science, University of Abuja, Gwagwalada, Nigeria.

出版信息

J King Saud Univ Comput Inf Sci. 2022 Nov;34(10):8176-8206. doi: 10.1016/j.jksuci.2022.08.003. Epub 2022 Aug 11.

Abstract

This study analyzed the Coronavirus (COVID-19) crisis from the angle of cyber-crime, highlighting the wide spectrum of cyberattacks that occurred around the world. The modus operandi of cyberattack campaigns was revealed by analyzing and considering cyberattacks in the context of major world events. Following what appeared to be substantial gaps between the initial breakout of the virus and the first COVID-19-related cyber-attack, the investigation indicates how attacks became significantly more frequent over time, to the point where three or four different cyber-attacks were reported on certain days. This study contributes in the direction of fifteen types of cyber-attacks which were identified as the most common pattern and its ensuing devastating events during the global COVID-19 crisis. The paper is unique because it covered the main types of cyber-attacks that most organizations are currently facing and how to address them. An intense look into the recent advances that cybercriminals leverage, the dynamism, calculated measures to tackle it, and never-explored perspectives are some of the integral parts which make this review different from other present reviewed papers on the COVID-19 pandemic. A qualitative methodology was used to provide a robust response to the objective used for the study. Using a multi-criteria decision-making problem-solving technique, many facets of cybersecurity that have been affected during the pandemic were then quantitatively ranked in ascending order of severity. The data was generated between March 2020 and December 2021, from a global survey through online contact and responses, especially from different organizations and business executives. The result show differences in cyber-attack techniques; as hacking attacks was the most frequent with a record of 330 out of 895 attacks, accounting for 37%. Next was Spam emails attack with 13%; emails with 13%; followed by malicious domains with 9%. Mobile apps followed with 8%, Phishing was 7%, Malware 7%, Browsing apps with 6%, DDoS has 6%, Website apps with 6%, and MSMM with 6%. BEC frequency was 4%, Ransomware with 2%, Botnet scored 2% and APT recorded 1%. The study recommends that it will continue to be necessary for governments and organizations to be resilient and innovative in cybersecurity decisions to overcome the current and future effects of the pandemic or similar crisis, which could be long-lasting. Hence, this study's findings will guide the creation, development, and implementation of more secure systems to safeguard people from cyber-attacks.

摘要

本研究从网络犯罪的角度分析了冠状病毒(COVID-19)危机,突出了全球范围内发生的广泛网络攻击。通过在重大世界事件背景下分析和考量网络攻击,揭示了网络攻击活动的作案手法。在病毒最初爆发与首次出现与COVID-19相关的网络攻击之间似乎存在明显差距之后,调查表明随着时间推移攻击频率显著增加,以至于在某些日子里报告了三到四次不同的网络攻击。本研究针对十五种网络攻击类型展开,这些攻击被确定为全球COVID-19危机期间最常见的模式及其引发的破坏性事件。本文的独特之处在于它涵盖了大多数组织当前面临的主要网络攻击类型以及应对方法。深入研究网络犯罪分子利用的最新进展、动态变化、应对措施以及未曾探索的视角,是使本综述有别于其他关于COVID-19大流行的现有综述论文的一些重要组成部分。采用定性方法对研究目标提供有力回应。运用多标准决策问题解决技术,对大流行期间受到影响的网络安全的诸多方面按照严重程度升序进行定量排名。数据产生于2020年3月至2021年12月,通过在线联系和回复进行全球调查收集,特别是来自不同组织和企业高管的数据。结果显示了网络攻击技术的差异;黑客攻击最为频繁,在895次攻击中有330次记录,占37%。其次是垃圾邮件攻击,占13%;电子邮件攻击占13%;恶意域名攻击占9%。移动应用攻击占8%,网络钓鱼攻击占7%,恶意软件攻击占7%,浏览应用攻击占6%,分布式拒绝服务攻击占6%,网站应用攻击占6%,以及其他攻击占6%。商业电子邮件诈骗频率为4%,勒索软件攻击占2%,僵尸网络攻击占2%,高级持续性威胁攻击占1%。该研究建议,政府和组织在网络安全决策中继续保持韧性和创新性,以克服大流行或类似危机当前及未来可能产生的长期影响。因此,本研究结果将指导创建、开发和实施更安全的系统,以保护人们免受网络攻击。

相似文献

1
A deeper look into cybersecurity issues in the wake of Covid-19: A survey.新冠疫情后对网络安全问题的深入研究:一项调查。
J King Saud Univ Comput Inf Sci. 2022 Nov;34(10):8176-8206. doi: 10.1016/j.jksuci.2022.08.003. Epub 2022 Aug 11.

引用本文的文献

本文引用的文献

7
CovidSens: a vision on reliable social sensing for COVID-19.CovidSens:关于COVID-19可靠社会感知的愿景。
Artif Intell Rev. 2021;54(1):1-25. doi: 10.1007/s10462-020-09852-3. Epub 2020 Jun 12.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验