| Title | SDN based Cognitive Security System for Large-Scale Internet of Things using Fog Computing |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Prabavathy, S., Supriya, V. |
| Conference Name | 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) |
| Keywords | Adaptive systems, delays, Fog Computing, Image edge detection, Internet of Things, machine learning algorithms, pubcrawl, Resiliency, Scalability, Scalable Security, SDN security, security, software defined networking |
| Abstract | Internet of Things (IoT) is penetrating into every aspect of our personal lives including our body, our home and our living environment which poses numerous security challenges. The number of heterogeneous connected devices is increasing exponentially in IoT, which in turn increases the attack surface of IoT. This forces the need for uniform, distributed security mechanism which can efficiently detect the attack at faster rate in highly scalable IoT environment. The proposed work satisfies this requirement by providing a security framework which combines Fog computing and Software Defined Networking (SDN). The experimental results depicts the effectiveness in protecting the IoT applications at faster rate |
| DOI | 10.1109/ICETCI51973.2021.9574051 |
| Citation Key | prabavathy_sdn_2021 |
SDN based Cognitive Security System for Large-Scale Internet of Things using Fog Computing