Enhanced computer network security assessment through employing an integrated LogTODIM-TOPSIS technique under interval neutrosophic sets

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Qiongqiong Sun, Longfei Yang
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引用次数: 0

Abstract

In the context of the development of the new era, computer network technology has become an indispensable and important technological means in people’s daily work and life. Through network technology, information resources can be collected, integrated, processed, and applied, thereby improving information analysis and mining capabilities, constructing big data environments for various industries, providing convenient and fast intelligent information services, and promoting social transformation and development. However, in practical development, network security issues seriously affect information security and social stability, and computer viruses and hackers pose a huge threat to computer systems. The computer network security evaluation is the MAGDM problems. Recently, the Logarithmic TODIM (LogTODIM) and TOPSIS technique has been utilized to cope with MAGDM issues. The interval neutrosophic sets (INSs) are utilized as a technique for characterizing uncertain information during the computer network security evaluation. In this paper, the interval neutrosophic number Logarithmic TODIM-TOPSIS (INN-LogTODIM-TOPSIS) technique is conducted to solve the MAGDM under INSs. Finally, a numerical case study for computer network security evaluation is utilized to validate the proposed technique. The prime contributions of this paper are put forward: (1) The entropy technique based on score values and accuracy value are conducted to obtain weight information under INSs; (2) an integrated INN-LogTODIM-TOPSIS technique is conducted to put forward the MAGDM issue; (3) An illustrative example for computer network security evaluation has been accomplished to put forward the INN-LogTODIM-TOPSIS technique.
通过采用区间中性集下的集成 LogTODIM-TOPSIS 技术加强计算机网络安全性评估
在新时代发展背景下,计算机网络技术已经成为人们日常工作和生活中不可或缺的重要技术手段。通过网络技术,可以对信息资源进行收集、整合、处理和应用,从而提高信息分析和挖掘能力,为各行各业构建大数据环境,提供方便快捷的智能信息服务,促进社会转型和发展。然而,在实际发展中,网络安全问题严重影响信息安全和社会稳定,计算机病毒和黑客对计算机系统构成巨大威胁。计算机网络安全评估是 MAGDM 的难题。最近,人们利用对数 TODIM(LogTODIM)和 TOPSIS 技术来解决 MAGDM 问题。在计算机网络安全评估过程中,区间中性集(INS)被用作描述不确定信息的一种技术。本文采用区间中性数对数 TODIM-TOPSIS (INN-LogTODIM-TOPSIS)技术来解决 INSs 下的 MAGDM 问题。最后,利用计算机网络安全评估的数值案例研究验证了所提出的技术。本文的主要贡献在于:(1)基于分值和准确度值的熵技术获得了 INS 下的权重信息;(2)综合 INN-LogTODIM-TOPSIS 技术提出了 MAGDM 问题;(3)通过计算机网络安全评估的示例研究提出了 INN-LogTODIM-TOPSIS 技术。
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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CiteScore
2.10
自引率
0.00%
发文量
22
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