NFDLM: A Lightweight Network Flow based Deep Learning Model for DDoS Attack Detection in IoT Domains

no code implementations • 15 Jul 2022 • Kumar Saurabh, Tanuj Kumar, Uphar Singh, O. P. Vyas, Rahamatullah Khondoker

One of the sources of the attacks on IoT ecosystems are botnets.

feature selection

LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks

no code implementations • 23 Jun 2022 • Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker

In this paper, a Deep Learning enabled Long Short Term Memory (LSTM) Autoencoder and a 13-feature Deep Neural Network (DNN) models were developed which performed a lot better in terms of accuracy on UNSW-NB15 and Bot-IoT datsets.

Network Intrusion Detection