Satellite Security Transmission Optimization Algorithm for Joint Anomaly Detection

HUANG Chen; WANG Ding-xuan; HOU Rong-hui

doi:10.12263/DZXB.20240301

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Satellite Security Transmission Optimization Algorithm for Joint Anomaly Detection

PAPERS | 更新时间：2025-08-18

- Satellite Security Transmission Optimization Algorithm for Joint Anomaly Detection
- ACTA ELECTRONICA SINICA Vol. 53, Issue 5, Pages: 1460-1468(2025)
- 作者机构：
  
  西安电子科技大学网络与信息安全学院，陕西西安 710126
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(U23B2024);Shanghai Aerospace Eighth Research Institute SAST Foundation(SAST2022-092)
- DOI：10.12263/DZXB.20240301
  CLC： TN927;V474
- Received：08 April 2024，
  
  Revised：2024-12-13，
  
  Published：25 May 2025
- 稿件说明：
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黄晨, 王定轩, 侯蓉晖. 联合异常检测的卫星安全传输优化算法[J]. 电子学报, 2025, 53(05): 1460-1468.

HUANG Chen, WANG Ding-xuan, HOU Rong-hui. Satellite Security Transmission Optimization Algorithm for Joint Anomaly Detection[J]. Acta Electronica Sinica, 2025, 53(05): 1460-1468.
黄晨, 王定轩, 侯蓉晖. 联合异常检测的卫星安全传输优化算法[J]. 电子学报, 2025, 53(05): 1460-1468. DOI：10.12263/DZXB.20240301

HUANG Chen, WANG Ding-xuan, HOU Rong-hui. Satellite Security Transmission Optimization Algorithm for Joint Anomaly Detection[J]. Acta Electronica Sinica, 2025, 53(05): 1460-1468. DOI：10.12263/DZXB.20240301

摘要

本文研究卫星网络系统稳定性和安全性问题，为业务提供安全可靠的端到端服务.针对卫星网络中可能存在的干扰攻击和拒绝服务攻击，考虑异常检测存在错误判断的情况，根据检测误差精度设计联合检测的安全传输方案，最小化端到端时延抖动.基于最优控制策略构建安全传输优化问题，联合检测需求作为约束条件决策传输路径，利用增广拉格朗日差分进化算法求解得到最优数据传输方案.首次将异常检测的精确度作为安全传输路径策略的影响因素，当网络中存在一定程度的攻击时，安全控制算法提供稳定的端到端服务，控制策略同时动态触发异常检测，使得网络具备主动防御能力.本文搭建了66颗卫星星座，分别在卫星网络的干扰攻击和拒绝服务攻击中模拟验证所提出的安全传输方案的有效性.实验结果表明，将异常检测误差作为安全传输策略的决策因素，可有效提升网络服务的稳定性.

Abstract

This paper studies the stability and security of satellite network system to provide safe and reliable end-to-end service for business. Considering jamming attacks and denial of service (DoS) attacks in the satellite network

a joint detection security transmission scheme is designed according to the detection error accuracy to minimize end-to-end delay jitter. We construct the security transmission optimization problem based on the optimal control strategy

and determine the transmission path by combining the detection requirements as constraints. The optimal data transmission scheme is obtained by the augmented Lagrange differential evolution algorithm. For the first time

the accuracy of anomaly detection is used as a factor to determine the security path policy in this paper. When the network is attacked

the security control algorithm provides stable end-to-end services and the control policy dynamically triggers the anomaly detection

enabling the network to actively defend. In this paper

66 satellite constellations are constructed to simulate and verify the effectiveness of the proposed secure transmission scheme in jamming attacks and denial of service attacks. The results show that using anomaly detection error as a decision factor of secure transmission strategy can effectively improve the stability of network services.

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references

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