DDoS Detection and Alleviation in IoT using SDN (SDIoT-DDoS-DA)
| Autor: | S. Revathi, Azka Wani |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
OpenFlow
General Computer Science SIMPLE (military communications protocol) business.industry Computer science 020209 energy 020208 electrical & electronic engineering Botnet Denial-of-service attack 02 engineering and technology Cryptographic protocol Computer security computer.software_genre Telecommunications engineering 0202 electrical engineering electronic engineering information engineering The Internet Electrical and Electronic Engineering Internet of Things business computer |
| Zdroj: | Journal of The Institution of Engineers (India): Series B. 101:117-128 |
| ISSN: | 2250-2114 2250-2106 |
| Popis: | The Internet of Things (IoT) is an ever expanding discipline encompassing all orbits of life, and its development has resulted in enormous benefits. IoT has made it possible for simple electronic objects to participate in the Internet. However, the growth of IoT has also resulted in considerable security issues. Devices that build up an IoT network have constrained resources and battery power making it difficult to incorporate a proper security mechanism in an IoT environment. The devices in IoT are vulnerable to numerous threats, and the volume of these threats is ever increasing. Distributed Denial of Service (DDoS) is one of the attacks that have gained momentum with the growth of IoT. DDoS not only influences IoT network, but IoT botnets can also be used to launch voluminous DDoS attacks. Although numerous lightweight security protocols and mechanisms have been designed for improvement of security scenario in IoT networks, most of the security concerns are yet to be assuaged. In this paper, we propose a Software-Defined Network (SDN)-based security mechanism, for detection and alleviation of DDoS in IoT networks. SDN is a flexible method of managing and controlling a network that segregates data and control planes. It makes networks programmable which can be used to develop an efficient method to deal with catastrophic attacks in IoT networks. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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