Dynamic Risk Assessment in IT Environments

Author:

Mirzaei Omid1,Maria de Fuentes José1,Manzano Lorena González1

Affiliation:

1. Universidad Carlos III de Madrid (UC3M), Spain

Abstract

Security and reliability of information technologies have emerged as major concerns nowadays. Risk assessment, an estimation of negative impacts that might be imposed to a network by a series of potential sources, is one of the main tasks to ensure the security and is performed either statically or dynamically. Static risk assessment cannot satisfy the requirements of real-time and ubiquitous computing networks as it is pre-planned and does not consider upcoming changes such as the creation of new attack strategies. However, dynamic risk assessment (DRA) considers real-time evidences, being capable of diagnosing abnormal events in changing environments. Several DRA approaches have been proposed recently, but it is unclear which technique fits best into IT scenarios with different requirements. Thus, this chapter introduces recent trends in DRA, by analyzing 27 works and proposes a decision guide to help IT managers in choosing the most suitable DRA technique considering three illustrative scenarios – regular computer networks, internet of things, and industrial control systems.

Publisher

IGI Global

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Markovian Model of Dynamic Cyber Risk Assessment Based on Questionnaires;2023 16th International Conference on Signal Processing and Communication System (ICSPCS);2023-09-06

2. A Review on Information Security Risk Assessment of Smart Systems: Risk Landscape, Challenges, and Prospective Methods;2023 10th International Conference on ICT for Smart Society (ICISS);2023-09-06

3. Deep Learning for Cyber Security Risk Assessment in IIoT Systems;Encyclopedia of Data Science and Machine Learning;2022-10-14

4. Security Risk Assessments and Shortfalls for Evaluating and Protecting Dynamic Autonomic Systems in Future Internet;Design Innovation and Network Architecture for the Future Internet;2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3