FD-IDS: Federated Learning with Knowledge Distillation for Intrusion Detection in Non-IID IoT Environments by Haonan Peng, Chunming Wu, Yanfeng Xiao

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Smart Grid Security: Proactive Prediction of Advanced Persistent Threats by Motahareh Dehghan, Erfan Khosravain

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A speech-based convolutional neural network for human body posture classification by Abdulmohsin Husam Ali

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Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

“…The single phenomenon of IoT security has been identified as a complex concept that includes functional security and information security with their interconnection, contradictions, challenges and risks. …”
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Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose by FU Yu, GAO Shuhui

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Kolmogorov–Arnold–Enhanced Nonlinear Expansions for Fine-Grained Feature Amplification in Robust Near-Shore SAR Vessel Discrimination by Hankang Wang, Gaopeng Huang, Zhao Huang, Xingru Huang, Zhaoyang Xu, Zhiwen Zheng, Shanwei Liu, Shiqing Wei, Jin Liu, Xiaoshuai Zhang

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Any Bluetooth device can be hacked. Know how? by Prathibha Muraleedhara, Mary Subaja Christo, Jaya J, Yuvasini  D

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Efficient Malware Classification using Transfer Learning and Stacked Ensemble Techniques by Krishna Kumar, Hardwari Lal Mandoria, Rajeev Singh

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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security by Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad

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A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images by Madankumar Balasubramani, Monisha Srinivasan, Wei-Horng Jean, Shou-Zen Fan, Jiann-Shing Shieh

“…The cornerstone of our system is a Quantum Convolutional Hybrid Neural Network (QCHNN) that harnesses quantum entanglement properties to enhance feature detection and classification robustness. …”
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Biometric cryptosystem to secure smart object communications in the internet of things by Abdallah Meraoumia, Mohamed Amroune, Lakhadr Laimeche, Hakiml Bendjenna

“…Like any electronic application, the security aspect is one of the most difficult challenges in the creation and design of such networks. …”
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Considerations of Cloud Computing Contracts at the Conclusion Stage by Mohammadali Hasanian, Esmaeil Shahsavandi, Amirabbas Bozorgmehr

“…As a result, cloud computing is a model for providing services in information technology, which allows storing and processing information in It provides internet platform or private networks. …”
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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks by Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar

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X-FuseRLSTM: A Cross-Domain Explainable Intrusion Detection Framework in IoT Using the Attention-Guided Dual-Path Feature Fusion and Residual LSTM by Adel Alabbadi, Fuad Bajaber

“…The suggested method is appropriate for practical IoT security applications since it provides strong domain generalization and explainability while preserving computational efficiency.…”
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Securing the CAN bus using deep learning for intrusion detection in vehicles by Ritu Rai, Jyoti Grover, Prinkle Sharma, Ayush Pareek

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A Dual-Strategy Framework for Cyber Threat Detection in Imbalanced, High-Dimensional Data Across Heterogeneous Networks by T. Saranya, S. Indra Priyadharshini

“…As cyber threats grow in complexity, ensuring robust network security has become increasingly critical. …”
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A Review of IEEE 802.15.6 MAC, PHY, and Security Specifications by Sana Ullah, Manar Mohaisen, Mohammed A. Alnuem

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UNIFIED MULTIMODAL BIOMETRICS FUSION USING DEEP LEARNING FOR SECURING IOT by Prabhjot Kaur, Chander Kaur

“…Our proposed approach employs “Convolutional Neural Network (CNN)” architectures, notable for their efficacy in computer vision tasks, to extract potent discriminative features from the input images. …”
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Ultra Wideband radar-based gait analysis for gender classification using artificial intelligence by Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Amjad Raza, Sandra Dudley, Julio César Martínez Espinosa, Luis Alonso Dzul López, Isabel de la Torre Díez

“…Gender classification plays a vital role in various applications, particularly in security and healthcare. While several biometric methods such as facial recognition, voice analysis, activity monitoring, and gait recognition are commonly used, their accuracy and reliability often suffer due to challenges like body part occlusion, high computational costs, and recognition errors. …”
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Enhanced Detection of Intrusion Detection System in Cloud Networks Using Time-Aware and Deep Learning Techniques by Nima Terawi, Huthaifa I. Ashqar, Omar Darwish, Anas Alsobeh, Plamen Zahariev, Yahya Tashtoush

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