Smart City Gnosys
Smart city article details
| Title | An Sdn-Based Prototype For Dynamic Detection And Mitigation Of Dos Attacks In Iot |
|---|---|
| ID_Doc | 8971 |
| Authors | Binu P.K.; Mohan D.; Sreerag Haridas E.M. |
| Year | 2021 |
| Published | Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021 |
| DOI | http://dx.doi.org/10.1109/ICIRCA51532.2021.9544755 |
| Abstract | Internet of Things (IoT) networks and devices are getting adopted in various sectors like the healthcare, smart environment, smart cities, etc. These networks generate a huge amount of data from various sensors and other IoT devices including wearable ones connected to it. As the use of IoT networks and devices increases, security concerns are also getting top priority. There is no standard protocol available till now to completely protect these IoT devices from Denial of Services (DoS) and Distributed Denial of Services (DDoS) attacks. To identify and mitigate these attacks, continuous monitoring of the network and dynamic decision-making are required. With the help of Software Defined Network (SDN) principles in IoT, the security threats can be effectively and dynamically handled on IoT devices. This paper proposes a novel mechanism for early detection and mitigation of the abnormal behaviors in IoT by using SDN principles. This prototype model is well suited for smart networks like smart homes, healthcare, agriculture etc., where multiple interconnected microcontroller boards are used in the communication process. The model can ensure attack detection in the gateway device as well as in SDN controller so that it can ensure twin layer protection. To learn the behavior pattern of the attacks, the real-time DoS attacks are conducted on a small ThingSpeak cloud based IoT network, which includes NodeMCU board and few sensors. This threat modeling is the basis for our attack detection and mitigation model proposed in this work. Finally, this research work has simulated the proposed SDN based prototype model in Mininet and conducted the experiments by initiating different DoS attacks randomly. From this, it is observed that, our model is capable of detecting the known attacks with almost 98.5% accuracy rate. © 2021 IEEE. |
| Author Keywords |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
5530  | 0.92 | Dantas Silva F.S.; Silva E.; Neto E.P.; Lemos M.; Venancio Neto A.J.; Esposito F. | A Taxonomy Of Ddos Attack Mitigation Approaches Featured By Sdn Technologies In Iot Scenarios | Sensors (Switzerland), 20, 11 (2020) |
| 17572 | 0.894 | Bawany N.Z.; Shamsi J.A.; Salah K. | Ddos Attack Detection And Mitigation Using Sdn: Methods, Practices, And Solutions | Arabian Journal for Science and Engineering, 42, 2 (2017) |
| 14580 | 0.89 | El Houda Z.A.; Hafid A.; Khoukhi L. | Co-Iot: A Collaborative Ddos Mitigation Scheme In Iot Environment Based On Blockchain Using Sdn | Proceedings - IEEE Global Communications Conference, GLOBECOM (2019) |
| 4457 | 0.889 | Alshahrani M.M. | A Secure And Intelligent Software-Defined Networking Framework For Future Smart Cities To Prevent Ddos Attack | Applied Sciences (Switzerland), 13, 17 (2023) |
| 35103 | 0.886 | Sharma H.; Gupta S. | Leveraging Machine Learning And Sdn-Fog Infrastructure To Mitigate Flood Attacks | 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings (2021) |
| 3259 | 0.883 | Sri vidhya G.; Nagarajan R. | A Novel Bidirectional Lstm Model For Network Intrusion Detection In Sdn-Iot Network | Computing, 106, 8 (2024) |
| 52158 | 0.878 | Wang S.; Gomez K.M.; Sithamparanathan K.; Zanna P. | Software Defined Network Security Framework For Iot Based Smart Home And City Applications | 2019, 13th International Conference on Signal Processing and Communication Systems, ICSPCS 2019 - Proceedings (2019) |
| 61396 | 0.874 | Snehi M.; Bhandari A. | Vulnerability Retrospection Of Security Solutions For Software-Defined Cyber-Physical System Against Ddos And Iot-Ddos Attacks | Computer Science Review, 40 (2021) |
| 35042 | 0.873 | Shukla N.; Gandhi C.; Choudhury T. | Leveraging Blockchain And Sdn For Efficient And Secure Iot Network | EAI/Springer Innovations in Communication and Computing (2021) |
| 12722 | 0.872 | Islam M.J.; Rahman A.; Kabir S.; Karim M.R.; Acharjee U.K.; Nasir M.K.; Band S.S.; Sookhak M.; Wu S. | Blockchain-Sdn-Based Energy-Aware And Distributed Secure Architecture For Iot In Smart Cities | IEEE Internet of Things Journal, 9, 5 (2022) |