Automated Intrusion Detection and Classification using Binary Metaheuristics with Deep Learning on Smart Cities-Reference-Cited by-同舟云学术

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Automated Intrusion Detection and Classification using Binary Metaheuristics with Deep Learning on Smart Cities

Published:2023-11-15 Issue: Volume: Page:24-29
ISSN:
Container-title:2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
language:
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Author:

V Haritha¹,R. Kumutha²,Sindhuja R.³,Srivastava Aviral⁴,G Shobana.⁵,Mary Sundararajan Suma Christal⁶

Affiliation:

1. RMK Engineering College,Department of CSE,Kavarapettai

2. Saveetha Engineering college,Department of Medical Electronics

3. S. A. Engineering College,Department of Humanities and science (Physics),Chennai,India

4. college of information sciences and technology, Pennsylvania state university,State college,Pennsylvania,USA

5. College of Science and Humanities, SRM Institute of Science and Technology SRM,Department of Computer Applications,Nagar, Kattankulathur,India,603 203

6. Panimalar Engineering College,Department of Information Technology,Poonamalle, Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370002/10368600/10370432.pdf?arnumber=10370432

Reference18 articles.

1. Detection of Cyber Attacks using Machine Learning ‎based Intrusion Detection System for IoT Based Smart ‎Cities

2. Explainable AI in Machine/Deep Learning for Intrusion Detection in Intelligent Transportation Systems for Smart Cities

3. IoT data feature extraction and intrusion detection system for smart cities based on deep migration learning

4. A hybrid machine learning model for intrusion detection in VANET

5. Hybrid Network Intrusion Detection System for Smart Environments Based on Internet of Things

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