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| Title | An Sdn/Nfv Based Intelligent Fog Architecture For Ddos Defense In Cyber Physical Systems |
|---|---|
| ID_Doc | 8973 |
| Authors | Snehi M.; Bhandari A. |
| Year | 2021 |
| Published | Proceedings of the 2021 10th International Conference on System Modeling and Advancement in Research Trends, SMART 2021 |
| DOI | http://dx.doi.org/10.1109/SMART52563.2021.9676241 |
| Abstract | The Internet of Things (IoT) has garnered considerable interest in recent years as its technical capabilities have facilitated the creation of a diverse variety of commercial revenue models and services (e.g., medical cyber-physical systems, smart agriculture, Industry 4.0, smart cities, etc.). However, the security gaps in intelligent systems continue to be a significant source of concern. Malevolent attackers employ attacks like distributed denial of service (DDoS) to weaken system availability. To mitigate attack traffic, adopting a modern Software-defined Networked backbone and Network Function Virtualization (NFV) paradigm has proven to be a potential approach. This paper offers a comprehensive examination of the cutting-edge defense solutions driven by contemporary SDN/NFV technologies, highlighting the key limitations and future scope. The paper also presents the multi-dimensional view of the defense architecture by examining the Internet of Things (IoT) scenarios, defense strategies, the role of Fog to overcome research gaps, and leveraging SDN/NFV architecture for an intelligent defense solution. Furthermore, the paper examines the profound network backbone and offers the intelligent Machine and Deep learning-based distributed DDoS defense solution deployed in the Fog layer. The article concludes with an evaluation of open issues and research prospects for vulnerability apprehension in Smart systems. Keywords - SDN, Software Defined Network, NFV, Network Functions Virtualization, Cloud, IoT, Fog Computing, Distributed Denial of Service, DDoS © 2021 IEEE. |
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