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Model-based Cybersecurity Analysis: Past Work and Future Directions

  • Simon Yusuf Enoch
  • , Mengmeng Ge
  • , Jin B. Hong
  • , Dong Seong Kim

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Abstract

Model-based evaluation in cybersecurity has a long history. Attack Graphs (AGs) and Attack Trees (ATs) were the earlier developed graphical security models for cybersecurity analysis. However, they have limitations (e.g., scalability problem, state-space explosion problem, etc.) and lack the ability to capture other security features (e.g., countermeasures). To address the limitations and to cope with various security features, a graphical security model named attack countermeasure tree (ACT) was developed to perform security analysis by taking into account both attacks and countermeasures. In our research, we have developed different variants of a hierarchical graphical security model to solve the complexity, dynamicity, and scalability issues involved with security models in the security analysis of systems. In this paper, we summarize and classify security models into the following; graph-based, tree-based, and hybrid security models. We discuss the development of a hierarchical attack representation model (HARM) and different variants of the HARM, its applications, and usability in a variety of domains including the Internet of Things (IoT), Cloud, Software- Defined Networking, and Moving Target Defenses. Moreover, we discuss the pros and cons of each variant of HARM based on its applications and usage. Furthermore, several security metrics have been developed to be used with the graphical security model (including HARMs) to analyze the security posture of the systems and evaluate the effectiveness of defense mechanisms which is also being taken as input into optimization algorithms to compute optimal defense deployment. Thus, we provide the classification of the security metrics, including their discussions. Finally, we highlight existing problems and suggest future research directions in the area of graphical security models and applications. As a result of this work, a decision-maker can understand which type of HARM will suit their network or security analysis requirements.

Original languageEnglish
Title of host publicationThe 67th Annual Reliability & Maintainability Symposium, RAMS 2021
EditorsJoel Nachlas
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages7
ISBN (Electronic)9781728180175
ISBN (Print)9781728180182
DOIs
Publication statusPublished - 2021
Externally publishedYes
EventAnnual Reliability and Maintainability Symposium (RAMS) 2021 - Orlando, United States of America
Duration: 24 May 202127 May 2021
Conference number: 67th
https://ieeexplore.ieee.org/xpl/conhome/9605695/proceeding?sortType=vol-only-seq&isnumber=9605657&rowsPerPage=100&pageNumber=2 (Proceedings)
https://rams.org/ (Website)

Publication series

NameProceedings - Annual Reliability and Maintainability Symposium
PublisherIEEE, Institute of Electrical and Electronics Engineers
Volume2021-May
ISSN (Print)0149-144X
ISSN (Electronic)0149-144X

Conference

ConferenceAnnual Reliability and Maintainability Symposium (RAMS) 2021
Abbreviated titleRAMS 2021
Country/TerritoryUnited States of America
CityOrlando
Period24/05/2127/05/21
Internet address

Keywords

  • Attack Graphs
  • Attack Trees
  • Evaluation
  • Moving Target Defense
  • Security Metrics

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