Research on DODAF-based operational view of cyber defence

Senlei Zhang; Ruiyong Zhang; Bin Zhang

doi:10.1117/12.2681678

1 June 2023 Research on DODAF-based operational view of cyber defence

Senlei Zhang, Ruiyong Zhang, Bin Zhang

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 127180E (2023) https://doi.org/10.1117/12.2681678
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

With the continuous advancement of network attack technology, the complexity of defending networks has become more and more challenging, resulting in increasingly prominent network security issues. At the moment, research on network defence security focuses on strategy selection and technology implementation, yet there is a lack of a unified definition and a common model framework for the network defence process. This paper examines the overall process of network defense decision-making and addresses the issues of indistinct outlines of the network defense system and a lack of clear explanations of the command and decision-making process, beginning with the architecture. Furthermore, it analyzes the operational view of network defense based on the established architecture framework DODAF(Department of Defense Architecture Framework). The core operational view models, such as the Operational Concept Diagram, Organizational Relationship Diagram, Operational Activity Diagram, and Operational Node Connection Diagram, are initially constructed to describe and analyze the network defense operational system structure and operational process from a macro perspective, and to clarify the interrelationship between defense operational objectives, major activities, combat roles, and major information flow elements.

Citation Download Citation

Senlei Zhang, Ruiyong Zhang, and Bin Zhang "Research on DODAF-based operational view of cyber defence", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 127180E (1 June 2023); https://doi.org/10.1117/12.2681678

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available