A Survey on Learning-Based Intrusion Detection Systems for IoT Networks-Reference-Cited by-同舟云学术

A Survey on Learning-Based Intrusion Detection Systems for IoT Networks

Published:2021-12-05 Issue: Volume: Page:
ISSN:
Container-title:2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS)
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Author:

Abdelhamid Salma¹,Aref Mostafa²,Hegazy Islam²,Roushdy Mohamed³

Affiliation:

1. Future University in Egypt,Faculty of Computers and Information Technology,Computer Science Department,Cairo,Egypt

2. Ain Shams University,Faculty of Computer and Information Sciences,Computer Science Department,Cairo,Egypt

3. Future University in Egypt,Faculty of Computers & Information Technology,Computer Science Department,Cairo,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9693993/9694107/09694226.pdf?arnumber=9694226

Reference56 articles.

1. Machine learning based IoT intrusion detection system: An MQTT case study (MQTT-IoT-IDS2020 dataset);hindy;International Networking Conference (INC) in Lecture Notes in Networks and Systems,2020

2. TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems

3. Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization

4. A detailed analysis of the KDD CUP 99 data set

5. NSL-KDD | Canadian Institute for Cybersecurity,0

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