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Multicriteria Decision and Machine Learning Algorithms for Component Security Evaluation: Library-Based Overview
Security and Communication Networks Pub Date : 2020-09-10 , DOI: 10.1155/2020/8886877
Jibin Zhang 1 , Shah Nazir 2 , Ansheng Huang 1 , Abdullah Alharbi 3
Affiliation  

Components are the significant part of a system which plays an important role in the functionality of the system. Components are the reusable part of a system which are already tested, debugged, and experienced based on the previous practices. A new system is developed based on the reusable components, as reusability of components is recommended to save time, effort, and resources as such components are already made. Security of components is a significant constituent of the system to maintain the existence of the component as well as the system to function smoothly. Component security can protect a component from illegal access and changing its contents. Considering the developments in information security, protecting the components becomes a fundamental issue. In order to tackle such issues, a comprehensive study report is needed which can help practitioners to protect their system. The current study is an endeavor to report some of the existing studies regarding component security evaluation based on multicriteria decision and machine learning algorithms in the popular searching libraries.

中文翻译:

用于组件安全性评估的多准则决策和机器学习算法:基于库的概述

组件是系统的重要部分,在系统的功能中起着重要的作用。组件是系统的可重用部分,已经根据先前的实践进行了测试,调试和体验。基于可重用组件开发了一个新系统,建议使用组件的可重用性以节省时间,精力和资源,因为已经制作了此类组件。组件的安全性是维持组件存在以及系统平稳运行的重要组成部分。组件安全性可以保护组件免遭非法访问和更改其内容。考虑到信息安全的发展,保护组件成为一个基本问题。为了解决这些问题,需要一份全面的研究报告,以帮助从业者保护其系统。当前的研究旨在报告流行搜索库中基于多准则决策和机器学习算法的有关组件安全性评估的一些现有研究。
更新日期:2020-09-10
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