Research on deceptive dynamic defense method based on SDN

Fangfang Dang; Lijing Yan; Kehe Wu; Dingding Li

doi:10.1117/12.3004599

11 October 2023 Research on deceptive dynamic defense method based on SDN

Fangfang Dang, Lijing Yan, Kehe Wu, Dingding Li

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128003I (2023) https://doi.org/10.1117/12.3004599
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

Dynamic network defense technology refers to the application of dynamic defense technology at the network level. It implements dynamic defense against harmful attacks on the target network to improve the difficulty for attackers to identify networks and penetrate network nodes. Most of them focus on traditional networks and ignore the advantages of software-defined networks (SDN). Network feature obfuscation is a successful reconnaissance countermeasure method, which will interfere with the information collected by the attacker in the reconnaissance stage and make the attacker's attack invalid. In this paper, a dynamic defense system is proposed to timely, dynamically and adaptively evaluate the effectiveness of SDN based deception defense system techniques. In the future, we will further study how to improve the dynamic defense capability of SDN, and analyze the development direction of dynamic defense based on SDN.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fangfang Dang, Lijing Yan, Kehe Wu, and Dingding Li "Research on deceptive dynamic defense method based on SDN", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128003I (11 October 2023); https://doi.org/10.1117/12.3004599

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