[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

量子密钥在蜂群作战中的应用初探

  • 蒋军彪 ,
  • 王晓章 ,
  • 张卓
展开
  • 西安现代控制技术研究所,西安 710065

蒋军彪(1962—),男,湖南湘潭人,研究员,博士,研究方向:量子通信、导航与制导控制。

收稿日期: 2020-11-02

  网络出版日期: 2025-02-25

基金资助

装备发展预研项目(170441418010)

Preliminary Study on the Application of Quantum Key in Swarm Fighting System

  • JIANG Junbiao ,
  • WANG Xiaozhang ,
  • ZHANG Zhuo
Expand
  • Xi’an Modern Control Technology Research Institute,Xi’an 710065,China

Received date: 2020-11-02

  Online published: 2025-02-25

摘要

蜂群作战模式是未来体系作战的一种重要形式,蜂群节点间的通信安全至关重要,然而现有保密通信体制存在一定的失密风险。文中分析了量子密钥管理系统架构和目前存在的问题,评估了短期内量子通信在蜂群作战中直接应用的可行性,提出了一种量子密钥与现代密码体制相融合的新型保密通信体制,可有效提高蜂群自组网的通信安全性。

本文引用格式

蒋军彪 , 王晓章 , 张卓 . 量子密钥在蜂群作战中的应用初探[J]. 弹箭与制导学报, 2021 , 41(2) : 1 -5 . DOI: 10.15892/j.cnki.djzdxb.2021.02.001

Abstract

Swarm operation mode is an important form in future system campaign. The security of communication between swarm nodes is crucial. The existing secure communication system is at risk of compromised. Through the analysis of the architecture of quantum key management system and the existing problems in this paper, the feasibility of direct application of quantum communication in swarm operation is discussed. A new secret communication system which combines quantum key with modern cryptosystem is proposed, it can improve the communication security of the swarm ad hoc networks.

[an error occurred while processing this directive]
[1]
李洪兴. DARPA启动攻击性“蜂群”能力战术计划[J]. 现代军事, 2017(2):20.

[2]
DARPA. Teams test swarm autonomy in second major OFFSET field experiment[EB/OL].(2019-08-07)[2020-10-22]. https://www.darpa.mil/newsvents.

[3]
王彤, 李磊, 蒋琪. “进攻性蜂群使能战术”项目推进无人蜂群能力发展分析[J]. 战术导弹技术, 2020(1):33-38.

[4]
SHARMA V, KUMAR R, KUMAR N. DPTR: distributed priority tree-based routing protocol for FANETs[J]. Computer Communications, 2018, 122(3): 129-151.

[5]
刘宏波, 孟进, 赵奎. 蜂群无人机数据链自组网协议设计[J]. 火力与指挥控制, 2018, 43(9):163-168.

[6]
黄振. 外军数据链技术在武器弹药上的应用和启示[J]. 舰船电子工程, 2019, 39(8):4-6.

[7]
王彤, 李磊, 蒋琪. 浅析美国高级军事学院《蜂群武器:验证用于并行攻击的蜂群智能算法》[EB/OL]. (2020-02-21)[2020-10-23]. http://book.antpedia.com/x/408777.html.

[8]
李海涛. 美军战术目标瞄准组网技术分析及对抗策略探究[J]. 长江信息通, 2021, 34(4):113-115.

[9]
刘炜伦, 张衡阳, 郑博, 等. 蜂群无人机自组网多优先级自适应退避算法[J]. 北京航空航天大学学报, 2019, 45(2):325-332.

[10]
征惠玲. 国外无线通信抗干扰技术研究进展[J]. 电讯技术, 2014, 54(4):524-528.

[11]
SUN X J, WU X B, HUANG C, et al. Modified access polynomial based self-healing group key management schemes with broadcast authentication and enhanced collision resistance in wireless sensornetworks[J]. Ad Hoc Networks, 2016, 37(2): 324-336.

[12]
ZHANG W, DING D S, SHENG Y B, et al. Quantum secure direct communication with quantum memory[J]. Physical Review Letters, 2017, 118(22): 220501.

[13]
TAN X Q, ZHANG X Q. Controlled quantum secure direct communication by entanglement distillation or generalized measurement[J]. Quantum Information Processing, 2016, 15(5): 2137-2154.

[14]
张羚, 董淑福, 孙启禄, 等. 无人机系统指挥控制与通信研究[J]. 飞航导弹, 2015(12):34-38.

[15]
韩家伟, 刘衍珩, 孙鑫, 等. 基于滑动窗口的量子密钥管理算法[J]. 吉林大学学报(工学版), 2016, 46(2):535-541.

文章导航

/

[an error occurred while processing this directive]