Preserving Privacy of Software-Defined Networking Policies by Secure Multi-Party Computation

作     者：Maryam Zarezadeh Hamid Mala Homa Khajeh Maryam Zarezadeh;Hamid Mala;Homa Khajeh

作者机构：Faculty of Computer EngineeringUniversity of IsfahanIsfahan ***Iran Independent ResearcherIsfahan ***Iran 

出 版 物：《Journal of Computer Science & Technology》 (计算机科学技术学报（英文版）)

年 卷 期：2020年第35卷第4期

页      面：863-874页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 081201[工学-计算机系统结构] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：software-defined networking (SDN) privacy secure multi-party computation (SMC) structure function multi-objective optimization 

摘      要：In software-defined networking(SDN),controllers are sinks of information such as network topology collected from switches.Organizations often like to protect their internal network topology and keep their network policies private.We borrow techniques from secure multi-party computation(SMC)to preserve the privacy of policies of SDN controllers about status of routers.On the other hand,the number of controllers is one of the most important concerns in scalability of SMC application in SDNs.To address this issue,we formulate an optimization problem to minimize the number of SDN controllers while considering their reliability in SMC operations.We use Non-Dominated Sorting Genetic Algorithm II(NSGA-II)to determine the optimal number of controllers,and simulate SMC for typical SDNs with this number of controllers.Simulation results show that applying the SMC technique to preserve the privacy of organization policies causes only a little delay in SDNs,which is completely justifiable by the privacy obtained.