Optimized Edge-cCCN Based Model for the Detection of DDoS Attack in IoT Environment-Reference-Cited by-同舟云学术

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Optimized Edge-cCCN Based Model for the Detection of DDoS Attack in IoT Environment

Published:2024 Issue: Volume: Page:14-23
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Gupta Brij B.,Gaurav Akshat,Chui Kwok Tai,Arya Varsha

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-51826-3_2

Reference30 articles.

1. Internet of things and wireless sensor network for smart cities. Int. J. Comput. Sci. 14, 50–55 (2017). https://doi.org/10.20943/01201705.5055

2. Wireless connected smart microsystems. Sens. Mater. 447 (2018). https://doi.org/10.18494/sam.2018.1765

3. Detection and prevention algorithm of DDoS attack over the IoT networks. Tem J. 899–906 (2020). https://doi.org/10.18421/tem93-09

4. Abbas, N., Nasser, Y., Shehab, M., Sharafeddine, S.: Attack-specific feature selection for anomaly detection in software-defined networks. In: 2021 3rd IEEE Middle East and North Africa Communications Conference (MENACOMM), pp. 142–146. IEEE (2021)

5. Bak, N., Chang, B., Choi, K.: SmartVisual: a visualisation tool for SmartThings IoT apps using static analysis. IET Softw. 14, 411–422 (2020). https://doi.org/10.1049/iet-sen.2019.0344

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