Abstract
DDOS attack detection has become more challenging due to the exponential growth of network traffic and its diversity on the Internet. The main goal of this research work is to simulate a computer network and investigate its behavior under various conditions including the execution of a DDoS attack, where the strength is determined by the presence of a traffic filtering defense mechanism. This research work proceeds with the network implementation by using the OMNET++ software simulator after an overview centered on this form of assault and a research on the problem. The data is then gathered after numerous simulations are conducted, each distinguished by the modification of a few key factors. The data is subsequently examined, with a focus on some assessment indicators. Finally, observations on the findings, limitations encountered, and potential future advances are provided.
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Sinha, S., Mahadev Prasad, N. (2022). Distributed Denial of Service Attack Detection and Prevention in Local Area Network. In: Raj, J.S., Kamel, K., Lafata, P. (eds) Innovative Data Communication Technologies and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 96. Springer, Singapore. https://doi.org/10.1007/978-981-16-7167-8_30
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DOI: https://doi.org/10.1007/978-981-16-7167-8_30
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