REDUCING DDoS ATTACKS IN IOT NETWORKS FOR ANOMALY DETECTION

K Nishitha; Dr.M.Ussenaiah; G.Rajesh

REDUCING DDoS ATTACKS IN IOT NETWORKS FOR ANOMALY DETECTION

Authors: K Nishitha, Dr.M.Ussenaiah, G.Rajesh

Unique Paper ID: 169140
Volume: 11
Issue: 6
PageNo: 728-733

Keywords: Internet of Things Black Chain Cyber attacks Denial of Service Service Oriented Architecture (SOA)

Abstract:
The recent surge in the number of Internet of Things (IoT) devices is setting the stage for the rise of intelligent cities, where trillions of IoT gadgets are linked together to offer innovative, widespread services and streamline our everyday activities. However, as the quantity of vulnerable IoT devices is increasing at an alarming pace, the effect of Distributed Denial-of-Service (DDoS) attacks is escalating as well. With the introduction of IoT botnets like Mirai, the perception of IoT has shifted from a facilitator of smart cities to a potent tool for cyber-attacks. This situation calls for the creation of new methods to enhance the adaptability and effectiveness of decision-making in the context of software-defined networks (SDN). Emerging technologies, such as SDN and blockchain, open up fresh possibilities for secure, cost-effective, flexible, and efficient collaboration in DDoS attacks within the IoT space. In this study, we introduce Co-IoT, a blockchain-based system designed for collaborative DDoS attack defense; it employs smart contracts to enable attack collaboration across SDN-based entities and securely and efficiently share attack data. The Co-IoT system is put into practice on the Ethereum official test network Ropsten. The experimental findings demonstrate that Co-IoT delivers flexibility, efficiency, security, and cost-effectiveness, making it a promising approach for mitigating DDoS attacks on a large scale.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 6
PageNo: 728-733

REDUCING DDoS ATTACKS IN IOT NETWORKS FOR ANOMALY DETECTION

Available:https://ijirt.org/Article?manuscript=169140

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Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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