Network Attack Detection in IoT using Artificial Intelligence

Author:

Gul Muhammad Jahanzaib1,Raazi Syed Muhammad Khaliq-ur-Rahman1

Affiliation:

1. Muhammad Ali Jinnah University,Dept. of computer science,Karachi,Pakistan

Publisher

IEEE

Reference17 articles.

1. Comparing Machine Learning Techniques for Zeek Log Analysis;andrews;IEEE Xplore,2022

2. Development of the Intrusion Detection System for the Internet of Things Based on a Sequence Alignment Algorithm

3. Zeek-Osquery: Host-Network Correlation for Advanced Monitoring and Intrusion Detection

4. Towards Asynchronous Federated Learning Based Threat Detection: a DC-Adam Approach;pu;Computers & Security,2021

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1. SURAKSHA: Secure Message Exchange Framework using Spiking Neural Network and Blockchain for IIoT Application;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

2. An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks;Big Data Mining and Analytics;2024-06

3. Securing lOT Devices and Networks with Role of Cryptography;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

4. Enhancing Cybersecurity Through Machine Learning-Based Classification of IoT Network Traffic;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

5. A Novel Approach for Distributed Security Over IoT in Learning Environment;Perspectives and Trends in Education and Technology;2023

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