Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach With Curated Dataset Generation for Enhanced Security-Reference-Cited by-同舟云学术

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Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach With Curated Dataset Generation for Enhanced Security

Published:2023 Issue: Volume:11 Page:106954-106966
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pitafi Shahneela¹^ORCID,Anwar Toni¹,Widia I. Dewa Made²,Yimwadsana Boonsit³

Affiliation:

1. Computer and Information Sciences Department (CISD), Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia

2. Faculty of Vocational Studies, Brawijaya University, Malang, East Java, Indonesia

3. Computer Science Academic Group, Faculty of Information and Communication Technology, Mahidol University, Salaya, Thailand

Funder

Universiti Teknologi PETRONAS (UTP) through the YUTP Grant Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10262029.pdf?arnumber=10262029

Reference59 articles.

1. A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks

2. Optical Fiber Sensors in Physical Intrusion Detection Systems: A Review

3. A comprehensive review on intelligent surveillance systems

4. Video surveillance systems-current status and future trends

Cited by 4 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. A Novel Hybrid Unsupervised Learning Approach for Enhanced Cybersecurity in the IoT;Future Internet;2024-07-18

2. Performance Evaluation of Machine Learning Algorithms on the Intrusion Detection System of Military Defence Operations;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

3. Curated Dataset Generation for Enhanced Security: ST-PID Dataset;2024 16th International Conference on Knowledge and Smart Technology (KST);2024-02-28

4. Toward Intelligent Monitoring in IoT: AI Applications for Real-Time Analysis and Prediction;IEEE Access;2024

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