| Title | Data Security in IoT Networks using Software-Defined Networking: A Review |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Shah, Sunil Kumar, Sharma, Raghavendra, Shukla, Neeraj |
| Conference Name | 2022 IEEE World Conference on Applied Intelligence and Computing (AIC) |
| Keywords | advanced encryption standard, cloud computing, Collaboration, composability, compositionality, Encryption, Human Behavior, human factors, Internet of Things, Internet-scale Computing Security, Metrics, Network security, policy-based governance, pubcrawl, resilience, Resiliency, Scalability, Smart buildings, smart cities, Smart homes, Software, software-defined network, tiny encryption method, Wireless Sensor Network, Wireless sensor networks |
| Abstract | Wireless Sensor networks can be composed of smart buildings, smart homes, smart grids, and smart mobility, and they can even interconnect all these fields into a large-scale smart city network. Software-Defined Networking is an ideal technology to realize Internet-of-Things (IoT) Network and WSN network requirements and to efficiently enhance the security of these networks. Software defines Networking (SDN) is used to support IoT and WSN related networking elements, additional security concerns rise, due to the elevated vulnerability of such deployments to specific types of attacks and the necessity of inter-cloud communication any IoT application would require. This work is a study of different security mechanisms available in SDN for IoT and WSN network secure communication. This work also formulates the problems when existing methods are implemented with different networks parameters. |
| DOI | 10.1109/AIC55036.2022.9848896 |
| Citation Key | shah_data_2022 |
Data Security in IoT Networks using Software-Defined Networking: A Review