Intelligent Dynamic Heterogeneous Redundancy Architecture for IoT Systems  

在线阅读下载全文

作  者:Zhang Han Wang Yu Liu Hao Lin Hongyu Chen Liquan 

机构地区:[1]School of Cyber Science and Engineering,Southeast University,Nanjing 211102,China [2]Purple Mountain Laboratories,Nanjing 211111,China [3]ZTE Corporation,Nanjing 210012,China [4]Carbon Peaking&Carbon Neutrality Application Technology R&D Institute,Nanjing University of Posts and Telecommunications,Nanjing 210002,China

出  处:《China Communications》2024年第7期291-306,共16页中国通信(英文版)

基  金:supported by the National Key Research and Development Program of China(2020YFE0200600);the National Natural Science Foundation of China(U22B2026)。

摘  要:The conventional dynamic heterogeneous redundancy(DHR)architecture suffers from the security threats caused by the stability differences and similar vulnerabilities among the executors.To overcome these challenges,we propose an intelligent DHR architecture,which is more feasible by intelligently combining the random distribution based dynamic scheduling algorithm(RD-DS)and information weight and heterogeneity based arbitrament(IWHA)algorithm.In the proposed architecture,the random distribution function and information weight are employed to achieve the optimal selection of executors in the process of RD-DS,which avoids the case that some executors fail to be selected due to their stability difference in the conventional DHR architecture.Then,through introducing the heterogeneity to restrict the information weights in the procedure of the IWHA,the proposed architecture solves the common mode escape issue caused by the existence of multiple identical error output results of similar vulnerabilities.The experimental results characterize that the proposed architecture outperforms in heterogeneity,scheduling times,security,and stability over the conventional DHR architecture under the same conditions.

关 键 词:dynamic heterogeneous redundancy HETEROGENEITY IoT security security defense 

分 类 号:TP393[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象