摘要
由于泛在电力物联网融入了社会的不可预知因素,导致互联环境复杂多样,终端设备接入类型与数量激增,时刻面临网络攻击和非安全数据入侵等安全隐患。因此,已有的安全检测与防护技术不再完全适用于如今的泛在电力物联网,文中从生物免疫学新视角探讨了泛在电力物联网安全技术。首先,类比病原体入侵生物体时免疫系统的免疫过程,阐述了生物免疫学与泛在电力物联安全防护的关联;其次,分析了感知层、网络层、平台层和应用层面临的安全挑战,并基于免疫学归纳了抗原识别、免疫响应和免疫记忆3方面的关键技术;最后,构想了泛在电力物联网全方位智能联动的安全免疫体系,并对研究方向进行了展望。
Due to the unpredictable factors in the integration of society in the ubiquitous power Internet of Things, the interconnection environment is complex and diverse, the types and number of terminal devices are exploding, and security risks such as network attacks and non-secure data intrusions are always faced. Therefore, the existing security detection and protection technology is no longer fully applicable to current ubiquitous power Internet of Things. The security technology for ubiquitous power Internet of Things is discussed from a new perspective of biological immunology. Firstly, the immune process of the immune system compared to that one the pathogen invades the organism is described. The relationship between bioimmunology and security protection of ubiquitous power Internet of things is expounded. Secondly, the security challenges faced by the perception layer, network layer, platform layer and application layer are analyzed. Based on immunology, the key technologies of antigen recognition, immune response and immune memory are summarized. Finally, the safe immune system for the intelligent linkage of ubiquitous power Internet of Things is devised, and the research areas are prospected.
作者
曲朝阳
董运昌
刘帅
沈志欣
于建友
李育发
QU Zhaoyang;DONG Yunchang;LIU Shuai;SHEN Zhixin;YU Jianyou;LI Yufa(School of Computer Science,Northeast Electric Power University,Jilin 132012,China;Jilin Engineering Technology Research Center of Intelligent Electric Power Big Data Processing,Jilin 132012,China;NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211106,China;NARI Technology Co.,Ltd.,Nanjing 211106,China;State Grid Jilin Electric Power Supply Company,Changchun 130021,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2020年第2期1-12,共12页
Automation of Electric Power Systems
基金
国家自然科学基金重点资助项目(51437003)
吉林省科技发展计划资助项目(20180201092GX)
吉林市科技创新发展计划资助项目(201830817)~~