Literature Review on Using Internet Protocol Security (IPsec) on network Connectivity by Twana Saeed Ali

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An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things by Muhammad Babar, Muhammad Usman Tariq, Basit Qureshi, Zabeeh Ullah, Fahim Arif, Zahid Khan

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Securing Automotive Networks from DoS and Fuzzy Attacks with Optimized LSTM Models by W. Beniel Dennyson, C. Jothikumar

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A review on recent approaches of Machine Learning, Deep Learning, and Explainable Artificial intelligence in Intrusion Detection Systems by Seshu Bhavani Mallampati, Seetha Hari

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Intrusion Detection System for Network Security Using Novel Adaptive Recurrent Neural Network-Based Fox Optimizer Concept by R. Manivannan, S. Senthilkumar

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A secured and fault-tolerant algorithm for electing an efficient coordinator in distributed networks by Shital S. Supase, Jayshree R. Pansare

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A Secure and Energy-Efficient Cross-Layer Network Architecture for the Internet of Things by Rashid Mustafa, Nurul I. Sarkar, Mahsa Mohaghegh, Shahbaz Pervez, Robert Morados

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Neuro-Driven Agent-Based Security for Quantum-Safe 6G Networks by Mohammed Alwakeel

“…Around the same time that 6G networks will be launched, advances in quantum computing could challenge existing cryptographic security. …”
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Securing face images in UAV networks using chaos and DNA cryptography approach by Saba Inam, Shamsa Kanwal, Eaman Amin, Omar Cheikhrouhou, Monia Hamdi

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A Comprehensive Analysis of Security Challenges in ZigBee 3.0 Networks by Akbar Ghobakhlou, Duaa Zuhair Al-Hamid, Sara Zandi, James Cato

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Design of Network Security Anomaly Detection Model Based on SLNA Cell Structure by Guiling Fan, Shaojun Chen

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TSRF: A Trust-Aware Secure Routing Framework in Wireless Sensor Networks by Junqi Duan, Dong Yang, Haoqing Zhu, Sidong Zhang, Jing Zhao

“…In recent years, trust-aware routing protocol plays a vital role in security of wireless sensor networks (WSNs), which is one of the most popular network technologies for smart city. …”
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Enhancing Network Security: A Study on Classification Models for Intrusion Detection Systems by Abeer Abd Alhameed Mahmood, Azhar A. Hadi, Wasan Hashim Al-Masoody

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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

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CAA-RF: An Anomaly Detection Algorithm for Computing Power Blockchain Networks by Shifeng Jia, Yating Zhao, Yang Zhang, Bin Jia, Wenjuan Lian

“…As a distributed communication and storage system, blockchain forms a Computing Power Blockchain Network (CPBN) by integrating computing nodes and network resources. …”
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Evaluating Security Anomalies by Classifying Traffic Using a Multi-Layered Model by Mohammadreza Samadzadeh, Najmeh Farajipour Ghohroud

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Securing Unmanned Aerial Vehicles Networks Using Pairing Free Aggregate Signcryption Scheme by Eman Abouelkheir

“…Multiple groups of UAVs, through appropriate interaction and concerted procedures, can achieve these objectives. The unpredictable features of UAVs and their reliance on unprotected and widely available wireless networks create challenges in establishing secure communication between a private edge cloud and a UAV. …”
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Secure and efficient cloudlet networks: blockchain integration with agent-based proof of trust mechanism by Nothile C. Masango, Jeffrey O. Agushaka, Mercy C. Amaefule, Olutosin Taiwo, Peiying Zhang, Absalom E. Ezugwu, Kashif Saleem, Aseel Smerat, Laith Abualigah

“…Experimental results demonstrate that this solution significantly enhances security, mitigates latency, and improves network performance compared to existing methods. …”
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Deep learning for network security: an Attention-CNN-LSTM model for accurate intrusion detection by Abdullah Mujawib Alashjaee

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Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security by In-Seop Na, Anandakumar Haldorai, Nithesh Naik

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