Security Framework for Internet-of-Things-Based Software-Defined Networks Using Blockchain

被引:33
|
作者
Rani, Shalli [1 ]
Babbar, Himanshi [1 ]
Srivastava, Gautam [2 ,3 ,4 ]
Gadekallu, Thippa Reddy [5 ,6 ]
Dhiman, Gaurav [6 ,7 ]
机构
[1] Chitkara Univ, Inst Engn & Technol, Rajpura 140401, India
[2] Brandon Univ, Dept Math & Comp Sci, Brandon, MB R7A 6A9, Canada
[3] China Med Univ, Res Ctr Interneural Comp, Taichung 40402, Taiwan
[4] Lebanese Amer Univ, Dept Comp Sci & Math, Beirut, Lebanon
[5] Vellore Inst Technol, Sch Informat Technol & Engn, Vellore 632014, India
[6] Lebanese Amer Univ, Dept Elect & Comp Engn, Byblos Campus, Byblos, Lebanon
[7] Graph Era, Dept Comp Sci & Engn, Dehra Dun 248002, India
关键词
Internet of Things; Blockchains; Security; Smart cities; Software defined networking; Privacy; Electronic mail; Blockchain; Internet of Things (IoT); security; smart cities; software-defined networks (SDNs); ARCHITECTURE; MANAGEMENT; SDN;
D O I
10.1109/JIOT.2022.3223576
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Presently, trillions of Internet of Things (IoT) devices are in use, with many more projected to join IoT networks in the future. These IoT devices create a massive volume of data, which cannot be transmitted over the network without proper security and privacy. Furthermore, as the amount of information and variety of interconnected devices grows, problems, including excessive response time, bandwidth constraints, and scalability, emerge in proper network design. To solve the constraints of today's smart cities for next-generation networks, an effective, secure, and scalable distributed framework must be designed bringing computing and storage resources nearer to endpoints. In this article, combining the strengths of software-defined networks (SDNs) and blockchain technology, an innovative adaptable network infrastructure for smart cities is developed. The network is divided into different domains in which SDN will detect potential attacks and transmit the secured data to the blockchain. Our in-depth experimental analysis on performance evaluation show that the proposed framework achieves 12.75% improvement over baseline methodologies.
引用
收藏
页码:6074 / 6081
页数:8
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