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NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains. (arXiv:2207.10803v1 [cs.CR])
July 25, 2022, 1:20 a.m. | Kumar Saurabh, Tanuj Kumar, Uphar Singh, O.P. Vyas, Rahamatullah Khondoker
cs.CR updates on arXiv.org arxiv.org
In the recent years, Distributed Denial of Service (DDoS) attacks on Internet
of Things (IoT) devices have become one of the prime concerns to Internet users
around the world. One of the sources of the attacks on IoT ecosystems are
botnets. Intruders force IoT devices to become unavailable for its legitimate
users by sending large number of messages within a short interval. This study
proposes NFDLM, a lightweight and optimised Artificial Neural Network (ANN)
based Distributed Denial of Services (DDoS) …
attack ddos ddos attack deep learning detection domains flow iot network
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