ITM Web Conf.
Volume 37, 2021International Conference on Innovative Technology for Sustainable Development (ICITSD-2021)
|Number of page(s)||8|
|Section||Innovative Technology for Sustainable Development|
|Published online||17 March 2021|
Early Detection of LDoS Attack using SNMP MIBs
School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
* Corresponding author: firstname.lastname@example.org
Early detection of Denial of Service (DoS) attacks are given more emphasizing due to its adverse effects on disrupting the services of legitimate users. LDoS attack is one among the DoS category which floods the target at ideal rate to keep the connections open for longer duration. Traditional defense measures are inadequate to filter due to its less traffic volume. The current works focus on either empirical studies or signal processing models to capture the behavioural characteristics of LDoS based on TCP’s congestion control and timeout mechanism but none carries out detection at a faster timestamp. Early detection solutions are the main focus as it could scale up the revenue losses in today’s online application issues. Hence our model is based on Simple Network Management Protocol (SNMP), through which the early detection of LDoS attacks is carried out. The relevant detection metrics are identified through theoretical validation of SNMP MIBs and existing dataset analysis. Experimental simulations illustrate the LDoS detection efficiency and the same has been validated for theoretically.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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