Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

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Neural network-based symmetric encryption algorithm with encrypted traffic protocol identification by Jiakai Hao, Ming Jin, Yuting Li, Yuxin Yang

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Unlocking the potential of secure communications: A comprehensive systematic review of the network design model for topology control and routing synergy in wireless sensor networks... by Taher Alzahrani, Saima Rashid

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A deep Reinforcement learning-based robust Intrusion Detection System for securing IoMT Healthcare Networks by Jamshed Ali Shaikh, Chengliang Wang, Muhammad Wajeeh Us Sima, Muhammad Arshad, Muhammad Owais, Dina S. M. Hassan, Reem Alkanhel, Mohammed Saleh Ali Muthanna

“…However, the widespread deployment of these devices introduces significant security vulnerabilities due to limited resources and inadequate network protocols. …”
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Build with intrinsic security: Trusted autonomy security system by Shen He, Jing Huang, Penglin Yang

“…Compared to traditional Internet of things networks, this architecture uses trusted computing technique to build the basic of security, and makes Internet of things network available to manage security automatically. …”
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Security of End-to-End medical images encryption system using trained deep learning encryption and decryption network by Saba Inam, Shamsa Kanwal, Anousha Anwar, Noor Fatima Mirza, Hessa Alfraihi

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MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model by Yu Zhang, Xin Wang, Jingye Cai, Qun Yang

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An Intrusion Detection Model Based on Feature Selection and Improved One-Dimensional Convolutional Neural Network by Qingfeng Li, Bo Li, Linzhi Wen

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Style Transfer and Topological Feature Analysis of Text-Based CAPTCHA via Generative Adversarial Networks by Tao Xue, Zixuan Guo, Zehang Yin, Yu Rong

“…The design and cracking of text-based CAPTCHAs are important topics in computer security. This study proposes a method for the style transfer of text-based CAPTCHAs using Generative Adversarial Networks (GANs). …”
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Enhanced Intrusion Detection in In-Vehicle Networks Using Advanced Feature Fusion and Stacking-Enriched Learning by Ali Altalbe

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GLIDE: A Game Theory and Data-Driven Mimicking Linkage Intrusion Detection for Edge Computing Networks by Qianmu Li, Jun Hou, Shunmei Meng, Huaqiu Long

“…Due to the dual constraints of the hybrid feature of edge computing networks and the uncertainty of new attack features, implementing active defence measures such as detection, evasion, trap, and control is essential for the security protection of edge computing networks with high real-time and continuity requirements. …”
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PCR and Bio-signature for data confidentiality and integrity in mobile cloud computing by Sreeja Cherillath Sukumaran, Mohammed Misbahuddin

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Cross-Architecture Vulnerability Detection Combining Semantic and Attribute Feature by LI Kun, LI Bin, ZHU Wenjing, ZHOU Qinglei

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WSNetDefender: Securing Wireless Sensor Networks Using BBIDNet and Fuzzy-DQN Threat Mitigation System (FD-TMS) by Mohammed A. Aleisa

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A Verifiably Secure and Lightweight Device-to-Device (D2D) Authentication Protocol for the Resource-Constrained IoT Networks by Naif Alzahrani

“…The protocol minimizes energy and computational costs while ensuring strong security by utilizing mutual authentication and effective cryptographic primitives. …”
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Efficient and Secure Routing Protocol for Wireless Sensor Networks through Optimal Power Control and Optimal Handoff-Based Recovery Mechanism by S. Ganesh, R. Amutha

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FE-DIoT: IoT Device Classification Through Dynamic Feature Selection and Adaptive Cross-Network Model by Hanxi Zheng, Huanpu Yin, Haisheng Li

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FFT-RDNet: A Time–Frequency-Domain-Based Intrusion Detection Model for IoT Security by Bingjie Xiang, Renguang Zheng, Kunsan Zhang, Chaopeng Li, Jiachun Zheng

“…This network effectively captures complex periodic attack patterns with minimal computational overhead. …”
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ConvGRU: A Lightweight Intrusion Detection System for Vehicle Networks Based on Shallow CNN and GRU by Shaoqiang Wang, Jiahui Cheng, Yizhe Wang, Shutong Li, Lei Kang, Yinfei Dai

“…To address these challenges, this study proposes ConvGRU, a lightweight vehicular network intrusion detection model that integrates a shallow Convolutional Neural Network (CNN) with a Gated Recurrent Unit (GRU). …”
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Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models by Ayoob Almotairi, Samer Atawneh, Osama A. Khashan, Nour M. Khafajah

“…Internet of Things (IoT) technology has evolved significantly, transitioning from personal devices to powering smart cities and global deployments across diverse industries. However, security challenges arise due to diverse devices using various protocols and having limited computational capabilities, leading to vulnerabilities and potential intrusions in IoT networks. …”
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