Vol.9, No.3, August 2020.                                                                                                                                                                                ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Detection and Prevention Algorithm of DDoS Attack Over the IOT Networks


Mohammed Ridha Nsaif, Mohammed Falah Abbood, Abbas Fadhil Mahdi


© 2020 Abbas Fadhil Mahdi, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 9, Issue 3, Pages 899-906, ISSN 2217-8309, DOI: 10.18421/TEM93-09, August 2020.


Received: 29 January 2020.

Revised:   19 May 2020.
Accepted: 29 May 2020.
Published: 28 August 2020.




One of the most notorious security issues in the IoT is the Distributed Denial of Service (DDoS) attack. Using a large number of agents, DDoS attack floods the host server with a huge number of requests causing interrupting and blocking the legitimate user requests. This paper proposes a detection and prevention algorithm for DDoS attacks. It is divided into two parts, one for detecting the DDoS attack in the IoT end devices and the other for mitigating the impact of the attack placed on the border router. Also, it has the ability to differentiate the High-rate from the Lowrate DDoS attack accurately and defend against these two types of attacks. It is implemented and tested against different scenarios to dissect their efficiency in detecting and mitigating the DDoS attack.


Keywords –Internet of things, IEEE, security,802.15.4,6LoWPAN, DDoS attack defensive mechanism.



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