LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks-Reference-Cited by-同舟云学术

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

Published:2022-06-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE World AI IoT Congress (AIIoT)
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Author:

Saurabh Kumar¹,Sood Saksham¹,Kumar P. Aditya¹,Singh Uphar¹,Vyas Raniana¹,Vyas O.P.¹,Khondoker Rahamatullah²

Affiliation:

1. Indian Institute of Information Technology,Allahabad,India

2. THM University of Applied Sciences,Department of Business Informatics,Friedberg,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9817098/9817144/09817245.pdf?arnumber=9817245

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4. NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems;mohanad;Big Data Technologies and Applications 10th EAI International Conference BDTA 2020 and 13th EAI International Conference on Wireless Internet WiCON 2020,2020

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