INCREMENTAL DEEP NEURAL NETWORK INTRUSION DETECTION IN FOG BASED IOT ENVIRONMENT: AN OPTIMIZATION ASSISTED FRAMEWORK-Reference-Cited by-同舟云学术

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INCREMENTAL DEEP NEURAL NETWORK INTRUSION DETECTION IN FOG BASED IOT ENVIRONMENT: AN OPTIMIZATION ASSISTED FRAMEWORK

Published:2021-12-20 Issue:6 Volume:12 Page:1847-1859
ISSN:2231-3850
Container-title:Indian Journal of Computer Science and Engineering
language:
Short-container-title:INDJCSE

Author:

Abdussami Aftab Alam,Farooqui Dr. Mohammed Faizan

Publisher

ENGG Journals Publications

Subject

Engineering (miscellaneous),Computational Mechanics,General Computer Science

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep hybrid model for attack detection in IoT-fog architecture with improved feature set and optimal training;Web Intelligence;2023-11-27

2. Seagull Optimization-based Feature Selection with Optimal Extreme Learning Machine for Intrusion Detection in Fog Assisted WSN;Tehnicki vjesnik - Technical Gazette;2023-10-15

3. Security analysis of fog computing environment for ensuring the security and privacy of information;Transactions on Emerging Telecommunications Technologies;2023-09-21

4. Enhanced Dragonfly-Based Secure Intelligent Vehicular System in Fog via Deep Learning;Algorithms for Intelligent Systems;2023

5. Optimal Feature Selection with Weight Optimised Deep Neural Network for Incremental Learning-Based Intrusion Detection in Fog Environment;Journal of Information & Knowledge Management;2022-05-19

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