Abstract
Distributed Denial of Service (DDoS) attacks has been a persistent threat for network and applications. Successful attacks can lead to inaccessible service to legitimate users in time and loss of business reputation. In this paper, we explore DDoS attack detection using Term Frequency (TF)-Inverse Document Frequency (IDF) and Latent Semantic Indexing (LSI). We analyzed web server log data generated in a distributed environment.
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Blue, T., Shahriar, H. (2021). Distributed Denial of Service Attack Detection. In: Choo, KK.R., Morris, T., Peterson, G.L., Imsand, E. (eds) National Cyber Summit (NCS) Research Track 2020. NCS 2020. Advances in Intelligent Systems and Computing, vol 1271. Springer, Cham. https://doi.org/10.1007/978-3-030-58703-1_16
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DOI: https://doi.org/10.1007/978-3-030-58703-1_16
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