Almotiri Sultan H
Department of Cybersecurity, College of Computing, Umm Al-Qura University, Makkah 24211, Saudi Arabia.
Heliyon. 2024 Nov 14;10(22):e40413. doi: 10.1016/j.heliyon.2024.e40413. eCollection 2024 Nov 30.
Security in data transmission is becoming problematic due to the internet's explosive growth as well as the spread of social media and digital advertising platforms, which have produced enormous volumes of data every day. In order to safeguard sensitive data, network security is becoming more and more important as technology is adopted. Effective information security measures are needed to protect against a variety of dangers, given the expanding number of users. A key factor in improving security is network security attributes, which include message encryption, password breaking, safeguarding wireless networks, and finding security holes. This paper adopts the Multi-Criteria Decision Making (MCDM) approach, utilising a fuzzy TOPSIS-based method, with the objective of systematically evaluating resilience in network security, especially against DDoS attacks. The research assesses different security attributes and vulnerabilities to offer actionable insights on how best to strengthen organizational cybersecurity frameworks. The methodology encompasses conducting network security audits to identify vulnerabilities that could compromise commercial operations or expose sensitive data. The findings provide critical insights that can inform targeted actions to address these vulnerabilities and enhance resource protection. The results indicate that network N6 is the most secure under DDoS attacks, followed by networks N1, N5, N3, N4, and N2. This research is significant as it aids strategic decision-making, strengthens network defenses, and enhances overall cybersecurity resilience in an era of evolving cyber threats. By addressing the complexities of network security assessments, this study makes a crucial contribution to the ongoing efforts of organisations to safeguard their data, employees, and customer information from sophisticated cyber threats.
由于互联网的爆炸式增长以及社交媒体和数字广告平台的普及，数据传输安全正变得越来越成问题，这些平台每天都会产生大量数据。为了保护敏感数据，随着技术的采用，网络安全变得越来越重要。鉴于用户数量不断增加，需要有效的信息安全措施来防范各种危险。提高安全性的一个关键因素是网络安全属性，其中包括消息加密、破解密码、保护无线网络以及发现安全漏洞。本文采用多准则决策（MCDM）方法，利用基于模糊TOPSIS的方法，旨在系统地评估网络安全的弹性，尤其是抵御分布式拒绝服务（DDoS）攻击的能力。该研究评估了不同的安全属性和漏洞，以提供关于如何最好地加强组织网络安全框架的可操作见解。该方法包括进行网络安全审计，以识别可能危及商业运营或暴露敏感数据的漏洞。研究结果提供了关键见解，可为解决这些漏洞和加强资源保护的针对性行动提供参考。结果表明，在DDoS攻击下，网络N6最安全，其次是网络N1、N5、N3、N4和N2。这项研究具有重要意义，因为它有助于战略决策，加强网络防御，并在网络威胁不断演变的时代提高整体网络安全弹性。通过解决网络安全评估的复杂性，本研究为组织持续努力保护其数据、员工和客户信息免受复杂网络威胁做出了关键贡献。
