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《中国工程科学》 >> 2021年 第23卷 第3期 doi: 10.15302/J-SSCAE-2021.03.007

多无人系统协同中的人工智能安全探索

1. 北京理工大学自动化学院,北京 100081;

2. 同济大学,上海 200092

收稿日期 :2021-02-15 修回日期 :2021-04-29

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摘要

作为中国新一代人工智能规划中的重要组成部分,多无人系统协同是我国未来国防建设和社会发展的一项变革性技术。虽然多无人系统协同技术研究与系统集成已经达到了空前高度,但是其相关人工智能安全问题研究还处在萌芽阶段。本文阐述了统筹推进多无人系统协同赋能应用与风险防控的重大意义,提出了“四位一体”全面推进多无人系统协同安全发展的战略思路,探索了多无人系统协同在内生安全和衍生安全层面潜在的挑战与应对思路。研究提出了智能无人系统安全对策建议:构建国家级无人系统验证平台,推动人才队伍建设;逐步深化无人系统产业“放管服”,发展新一代人工智能安全生态;充分发挥多无人系统协同的优势,赋能保障和改善民生,服务构建人类命运共同体。

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参考文献

[1]  吴勤. 无人系统发展及对国家安全的影响分析 [J]. 无人系统技 术, 2018, 1(2): 62–68. Wu Q. Unmanned systems development and analysis of the impact on national security [J]. Unmanned Systems Technology, 2018, 1(2): 62–68. 链接1

[2]  中华人民共和国国务院. 国务院关于印发新一代人工智能发展 规划的通知 [EB/OL]. (2017-07-08)[2021-04-27]. http://www. gov.cn/zhengce/content/2017-07/20/content_5211996.htm. The State Council of the PRC. Notice of the State Council on issuing the development plan for the new generation of artificial intelligence [EB/OL]. (2017-07-08)[2021-04-27]. http://www. gov.cn/zhengce/content/2017-07/20/content_5211996.htm. 链接1

[3]  中国信息通信研究院安全研究所. 人工智能安全框架2020年 [R]. 北京:中国信息通信研究院安全研究所, 2020. Security Research Institute of China Academy of Information and Communications Technology. Artificial intelligence security framework 2020 [R]. Beijing: Security Research. Institute of China Academy of Information and Communications Technology, 2020.

[4]  陈伟光. 关于人工智能治理问题的若干思考 [J]. 学术前沿, 2017 (20): 48–55. Chen W G. Some thoughts on the governance of artificial intelligence [J]. Frontiers, 2017 (20): 48–55. 链接1

[5]  杜严勇. 人工智能安全问题及其解决进路 [J]. 哲学动态, 2016 (9): 99–104. Du Y Y. Artificial intelligence security issues and their solutions [J]. Philosophical Trends, 2016 (9): 99–104. 链接1

[6]  王伟嘉, 郑雅婷, 林国政, 等. 集群机器人研究综述 [J]. 机器人, 2020, 42(2): 232–256. Wang W J, Zheng Y T, Lin G Z, et al. Swarm robotics: A review [J]. Robot, 2020, 42(2): 232–256. 链接1

[7]  The National Science and Technology Council. The national artificial intelligence research and development strategic plan: 2019 update [EB/OL]. (2019-06-21)[2021-04-27]. https://www.nitrd. gov/pubs/National-AI-RD-Strategy-2019-printer.pdf. 链接1

[8]  The White House. Guidance for regulation of artificial intelligence applications [EB/OL]. (202011-17)[2020-12-03]. https://www. whitehouse.gov/wp-content/uploads/2020/01/Draft-OMB-Memoon-Regulation-of-AI-1-7-19.pdf. 链接1

[9]  CONGRESS. National artificial intelligence initiative act of 2020 [EB/OL]. (2020-03-12)[2021-04-27]. https://science.house.gov/ bills/hr6216-national-artificial-intelligence-initiative-act-of-2020. 链接1

[10]  Congressional Research Service. Artificial intelligence and national security [EB/OL]. (2020-11-10)[2021-04-27]. https://crsreports. congress.gov/product/pdf/R/R45178. 链接1

[11]  Council of the European Union. European coordinated plan on artificial intelligence [EB/OL]. (2019-02-18)[2020-12-03]. https:// www.consilium.europa.eu/en/press/pressreleases/2019/02/18/european-coordinatedplan-on-artificial-intelligence/. 链接1

[12]  The High-Level Expert Group on AI at European Commission. Ethics guidelines for trustworthy AI [EB/OL]. (2019-04-08)[2020- 12-03]. https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai. 链接1

[13]  叶纯青. 欧盟发布无人机通用准则 [J]. 金融科技时代, 2019, 288 (8): 89. Ye C Q. Notice of the European Union on general guidelines for UAVs [J]. Financial Technology Time, 2019, 288(8): 89. 链接1

[14]  Derakhshan F, Yousefi S. A review on the applications of multiagent systems in wireless sensor networks [J]. International Journal of Distributed Sensor Networks, 2019, 15(5): 1–19. 链接1

[15]  王利, 王普, 闫峥. 无人机通信网络安全综述 [J]. 网络空间安全, 2019, 10(9): 13–19. Wang L, Wang P, Yan Z. A survey on secure communication of unmanned aerial vehicles [J]. Cyberspace Security, 2019, 10(9): 13–19. 链接1

[16]  王宝楠, 胡风, 张焕国, 等. 从演化密码到量子人工智能密码综 述 [J]. 计算机研究与发展, 2019, 56(10): 2112–2134. Wang B N, Hu F, Zhang H G, et al. From evolutionary cryptography to quantum artificial intelligence cryptography [J]. Journal of Computer Research and Development, 2019, 56(10): 2112–2134. 链接1

[17]  杨强. AI与数据隐私保护:联邦学习的破解之道 [J]. 信息安全 研究, 2019, 5(11): 961–965. Yang Q. AI and Data Privacy Protection: The Way to Federated Learning [J]. Journal of Information Security Research, 2019, 5(11): 961–965. 链接1

[18]  刘小垒. 基于群体智能进化算法的对抗样本生成研究 [D]. 成 都:电子科技大学 (博士学位论文), 2019. Liu X L. Research on generation of adversarial examples based on swarm evolutionary algorithm [D]. Chengdu: School of Information and Software Engineering (Doctoral dissertation), 2019. 链接1

[19]  伍益明. 恶意攻击下的多智能体系统安全一致性问题研究 [D]. 杭州: 浙江工业大学 (博士学位论文), 2016. Wu Y M. Research on secure consensus for multi-agent systems under malicious attacks [D]. Hangzhou: Zhejiang University of Technology (Doctoral dissertation), 2016. 链接1

[20]  崔朝阳, 孙甲琦, 徐松艳, 等. 适用于集群无人机的自组网安全 分簇算法 [J]. 山东大学学报 (理学版), 2018, 53(7): 51–59. Cui Z Y, Sun J Q, Xu S Y, et al. A secure clustering algorithm of Ad Hoc network for colony UAVs [J]. Journal of Shandong University (Natural Science), 2018, 53(7): 51–59. 链接1

[21]  臧义华, 李小娟. 基于区块链的无人集群作战信息共享架构 [J]. 指挥控制与仿真, 2020, 42(4): 19–22. Zang Y H, Li X J. Unmanned cluster operation information sharing [J]. Command Control & Simulation, 2020, 42(4): 19–22. 链接1

[22]  范泉涌, 金茂菁, 黄玲, 等. 无人驾驶汽车的安全问题及对策 [J]. 科技中国, 2019 (6): 13–15. Fan Q Y, Jin M J, Huang L, et al. The safety problems and countermeasures of unmanned vehicles [J]. Scitech in China, 2019 (6): 13–15. 链接1

[23]  李修全. 人工智能应用中的安全、隐私和伦理挑战及应对思考 [J]. 科技导报, 2017, 35(15): 11–12. Li X Q. Security, privacy and ethical challenges in artificial intelligence applications and their countermeasures [J]. Science & Technology Review, 2017, 35(15): 11–12. 链接1

[24]  Johnson J. Artificial intelligence, drone swarming and escalation risks in future warfare [J]. The RUSI Journal, 2020, 165(2): 26–36. 链接1

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