Model-Based Cyber Security at the Enterprise and Systems Level

被引:1
|
作者
Brooks, Mitchell [1 ]
Hause, Matthew [2 ]
机构
[1] SSI, 229 Manzanita Dr, Orinda,CA, United States
[2] Principal, SSI, 3208 Misty Oaks Way, Round Rock,TX, United States
关键词
Modeling languages;
D O I
10.1002/iis2.13044
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Model-Based Engineering (MBE) has transformed the worlds of mechanical, electrical, chemical, software, systems engineering, and now cybersecurity. Model based cybersecurity allows this concern to be addressed as an integrated part of the solution as opposed to being a separate solution. To best take advantage of this, we must examine which modeling practices, languages, and standards are best suited to handle cybersecurity. Currently, UAF is the most effective tool being used to provide Model-Based Cyber Security at the Enterprise and Systems Level. It achieves this largely through its integrated security viewpoint as well as by facilitating capability-based engineering. Furthermore, it allows modelers to integrate with other cybersecurity-focused modeling tools to include cybersecurity in the digital thread. The INCOSE Future of Systems Engineering (FuSE) Initiative defined 12 key concepts including Capability-Based Security Engineering and Security as a Functional Requirement. This paper discusses these FuSE concepts and demonstrates how they can be effectively realized via the use of UAF and shows how UAF coupled with complementary tools and standards provides powerful verification and validation capabilities. Note that this paper is derived from INCOSE Insight articles Brooks, Hause (2022) and Hause, Brooks (2022) published in a special issue on FuSE Security. References are included below. Copyright © 2023 by M Brooks, M Hause. Permission granted to INCOSE to publish and use.
引用
收藏
页码:649 / 665
相关论文
共 50 条
  • [21] Study on Model-based Security Assessment of Information Systems
    Li, Xiangdong
    Han, Xinchao
    Zheng, Qiusheng
    2010 SECOND INTERNATIONAL CONFERENCE ON E-LEARNING, E-BUSINESS, ENTERPRISE INFORMATION SYSTEMS, AND E-GOVERNMENT (EEEE 2010), VOL I, 2010, : 289 - 292
  • [22] A Model-based Semi-Quantitative Approach for Evaluating Security of Enterprise Networks
    Zhang, Zonghua
    Nait-Abdesselam, Farid
    Lin, Xiaodong
    Ho, Pin-Han
    APPLIED COMPUTING 2008, VOLS 1-3, 2008, : 1069 - 1074
  • [23] Scalable model-based configuration management of security services in complex enterprise networks
    de Albuquerque, Joao Porto
    Krumm, Heiko
    de Geus, Paulo Licio
    Jeruschkat, Rene
    SOFTWARE-PRACTICE & EXPERIENCE, 2011, 41 (03): : 307 - 338
  • [24] The challenges of model-based systems engineering for the next generation enterprise information systems
    Milan Zdravković
    Hervé Panetto
    Information Systems and e-Business Management, 2017, 15 : 225 - 227
  • [25] The challenges of model-based systems engineering for the next generation enterprise information systems
    Zdravkovic, Milan
    Panetto, Herve
    INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT, 2017, 15 (02) : 225 - 227
  • [26] Assessment of Model-based Methodologies to Architect Cyber-Physical Systems
    Aigner, Andreas
    Khelil, Abdelmajid
    INTERNATIONAL CONFERENCE ON OMNI-LAYER INTELLIGENT SYSTEMS (COINS), 2019, : 146 - 151
  • [27] A Framework for Model-based Dependability Analysis of Cyber-Physical Systems
    Adedjouma, Morayo
    Yakymets, Nataliya
    201919TH IEEE INTERNATIONAL SYMPOSIUM ON HIGH ASSURANCE SYSTEMS ENGINEERING (HASE 2019), 2019, : 82 - 89
  • [28] A Tool Prototype for Model-Based Testing of Cyber-Physical Systems
    Aerts, Arend
    Mousavi, Mohammad Reza
    Reniers, Michel
    THEORETICAL ASPECTS OF COMPUTING - ICTAC 2015, 2015, 9399 : 563 - 572
  • [29] CatIO - A Framework for Model-Based Diagnosis of Cyber-Physical Systems
    Muskardin, Edi
    Pill, Ingo
    Wotawa, Franz
    FOUNDATIONS OF INTELLIGENT SYSTEMS (ISMIS 2020), 2020, 12117 : 267 - 276
  • [30] Model-based adaptive security control strategy against false data injection attacks in cyber-physical systems
    Xu, Xiangnan
    Wang, Zhiwen
    Sun, Hong-Tao
    Shi, Jing
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 46 (15) : 2909 - 2920