Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)

Network Security Swarm-Intelligence Application Design Based on Collaborative Defense Technology

Authors
Dongmei Bin1, *, Chunyan Yang1, Songming Han1
1Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning, 530023, Guangxi, China
*Corresponding author. Email: wyyx022023@126.com
Corresponding Author
Dongmei Bin
Available Online 22 September 2023.
DOI
10.2991/978-94-6463-242-2_66How to use a DOI?
Keywords
integrated learning; collaborative defense; swarm intelligence
Abstract

This paper proposes a collaborative defense of network security based on Swarm intelligence Framework. This technology is based on joint detection and collaborative response, Relying on the swarm intelligence technology, the scheme can recognise the complete attack chain and perceive the global network from the perspective of a cyber-kill-chain timeline, achieving collective and precise defence of multiple network security entities, thus further improving the capability to recognise, defend, and dispose of the advanced and complex security threats. But Swarm intelligence technology is not yet mature. The design of communication messages needs to carry out various experiments according to different network attack characteristics, and in-depth research is required to form practical and scalable technical achievements.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
22 September 2023
ISBN
978-94-6463-242-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-242-2_66How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Dongmei Bin
AU  - Chunyan Yang
AU  - Songming Han
PY  - 2023
DA  - 2023/09/22
TI  - Network Security Swarm-Intelligence Application Design Based on Collaborative Defense Technology
BT  - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023)
PB  - Atlantis Press
SP  - 537
EP  - 543
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-242-2_66
DO  - 10.2991/978-94-6463-242-2_66
ID  - Bin2023
ER  -