边缘计算中的安全与隐私保护技术研究

Research on Data Security and Privacy-preserving Technology in Edge Computing

边缘计算在靠近物或者数据源头的物联网边缘侧就近提供智能服务,具有边缘化、移动性、分布式、虚拟化、资源动态性等特征,但它提供不了可信、可控、可用的存储与计算服务,在安全与隐私保护方面面临诸多挑战。从边缘计算环境下安全与隐私保护技术的需求出发,对该环境下身份认证、访问控制以及入侵检测等主要技术领域的研究进展进行了综述,分析并比较了典型方案的特点,讨论了已有工作的局限性,指出了未来发展趋势和后续研究方向。

Edge computing,which deploys the cloud services in the edge network,has been envisioned as the dominant cloud service paradigm in the era of IoT.Meanwhile,edge computing's unique features,such as content perception,real-time computing,parallel processing,etc.,have also introduced new security problems,especially data security and privacy issues.Protecting the security and privacy of data,data owners,and data applications in such an untrusted system is thus a new challenge we are facing.From the perspective of security and privacy-preserving technologies in edge computing,this paper first introduces related research progress of identity authentication,access control and intrusion detection,and so on.Furthermore,it analyzes the characteristics and application scopes of typical schemes,and finally,the paper discusses current limitations and possible directions for future researches.