一种高效隐私的区块链认知物联网框架  

Efficient privacy blockchain cognitive IoT framework

作　　者：杨菊英[1] 江兵 罗佳[1] Yang Juying;Jiang Bing;Luo Jia(Dept.of Computer Science,Chengdu College of University of Electronic Science&Technology of China,Chengdu 611731,China;Dept.of Electronic Commerce,Business School,Sichuan Agricultural University,Dujiangyan Sichuan 611830,China)

机构地区：[1]电子科技大学成都学院计算机系,成都611731 [2]四川农业大学商学院电子商务系,四川都江堰611830

出　　处：《计算机应用研究》2020年第8期2442-2445,共4页Application Research of Computers

基　　金：四川省科技厅资助项目(172102210594)。

摘　　要：针对动态物联网隐私安全问题及低效推荐系统问题,提出一种高效隐私的区块链认知物联网框架。该框架分为区块链物联网管理层、认知过程层和需求层三层,区块链物联网管理层为认知层提供所需信息,然后对系统的可管理元素进行安全隐私的操作;在认知层中,认知引擎观察有关系统的信息,然后执行适当的算法来管理系统;在需求层中,通过认知规范语言(cognitive specification language,CSL)来描述网络的目标和行为。所提区块链物联网框架的认知推荐系统从过去发生的经验中学习,改进关于物联网推荐的决策,与其他物联网框架比较,所提框架和推荐系统具有隐私安全和高性能的推荐能力。Aiming at the problems of privacy security and inefficient recommendation system in dynamic Internet of Things,this paper proposed a blockchain cognitive IoT framework with high efficiency and privacy.It divided the proposed framework into three layers: blockchain IoT management layer,cognitive layer and requirements layer.The blockchain IoT management layer provided the required information for the cognitive layer,and then operated the manageable elements of the system safely and privacy.In the cognitive layer,the cognitive engine observed the information about the system,and then executed the appropriate algorithm to manage the system.In the requirements layer,it used the cognitive specification language(CSL) to describe the goals and behavior of the network.The cognitive recommendation system of the proposed blockchain IoT framework learned from past experiences and improved decision-making on IoT recommendations.Compared with other Internet of Things frameworks,the proposed framework and recommendation system have privacy security and high performance recommendation capabilities.

关 键 词：物联网 区块链 认知系统 推荐系统 认知规范语言 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术]