Encrypted Image Retrieval System based on Features Analysis by Methaq Talib GAATA, Fadya Fouad Hantoosh

“…However, since communication between digital products takes place in a public network, the necessity of security for digital images becomes vital. …”
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A Proactive Model for Intrusion Detection Using Image Representation of Network Flows by Rimsha Saeed, Hassaan Khaliq Qureshi, Christiana Ioannou, Marios Lestas

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IMpc-PyrYOLO: Hybrid YOLO Based Feature Pyramidal Network for Pest Detection in Rice Leaves by Ramesh Shunmugam, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Md. Shohel Sayeed

“…The model integrates an efficient channel attention (ECA) mechanism with the feature pyramidal network (FPN) in the YOLO network to improve multi-scale feature extraction and pest classification accuracy. …”
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Analysis of Basic Compounds in a Network Intrusion Detection System using NSL-KDD Data by Naglaa Ibrahim, Hana Usman

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Encrypted malicious traffic detection based on neural network by Xia Longfei, Zhang Qihao, Wu Xianyun, Zhu Xuetian, Gu Xin, Tian Min

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Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization by R. Gopi, V. Thiruppathy Kesavan, Md. Jakir Hossen, Nor Hidayati Binti Abdul Aziz

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Efficient IDS for IoT Networks Using Host-Based Data Aggregation and Multi-Entropy Analysis by Yusei Katsura, Arata Endo, Ismail Arai, Kazutoshi Fujikawa

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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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Enhancing IoT device security: CNN-SVM hybrid approach for real-time detection of DoS and DDoS attacks by Al-Na’amneh Qais, Aljaidi Mohammad, Nasayreh Ahmad, Gharaibeh Hasan, Al Mamlook Rabia Emhamed, Jaradat Ameera S., Alsarhan Ayoub, Samara Ghassan

“…Therefore, developing a secure IoT system is vital, shielding against attackers leveraging IoT devices to obtain network access and maintaining data security during transmission between these devices. …”
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Connected Vehicles Security: A Lightweight Machine Learning Model to Detect VANET Attacks by Muawia A. Elsadig, Abdelrahman Altigani, Yasir Mohamed, Abdul Hakim Mohamed, Akbar Kannan, Mohamed Bashir, Mousab A. E. Adiel

“…Vehicular ad hoc networks (VANETs) aim to manage traffic, prevent accidents, and regulate various parts of traffic. …”
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Multiscale Two-Stream Fusion Network for Benggang Classification in Multi-Source Images by Xuli Rao, Chen Feng, Jinshi Lin, Zhide Chen, Xiang Ji, Yanhe Huang, Renguang Chen

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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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An adaptive hybrid framework for IIoT intrusion detection using neural networks and feature optimization using genetic algorithms by Mohammad Zubair Khan, Aijaz Ahmad Reshi, Shabana Shafi, Ibrahim Aljubayri

“…Abstract In Industrial Internet of Things (IIoT) networks, securing device connectivity through effective intrusion detection systems is essential for maintaining operational integrity. …”
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CSTAN: A Deepfake Detection Network with CST Attention for Superior Generalization by Rui Yang, Kang You, Cheng Pang, Xiaonan Luo, Rushi Lan

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A topology-guided high-quality solution learning framework for security-constraint unit commitment based on graph convolutional network by Liqian Gao, Lishen Wei, Shichang Cui, Jiakun Fang, Xiaomeng Ai, Wei Yao, Jinyu Wen

“…In this sense, this paper proposes a topology-guided high-quality solution learning framework based on graph convolutional network (GCN) and neighborhood search (NS). Firstly, a GCN-based method is presented to learn the potential patterns between commitments and graph data associated with bus feature and power grid topology. …”
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Cross-stream attention enhanced central difference convolutional network for CG image detection by HUANG Jinkun, HUANG Yuanhang, HUANG Wenmin, LUO Weiqi

“…Therefore, an innovative cross-stream attention enhanced central difference convolutional network was proposed, aiming at improving the accuracy of CG image detection. …”
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Manet: motion-aware network for video action recognition by Xiaoyang Li, Wenzhu Yang, Kanglin Wang, Tiebiao Wang, Chen Zhang

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Intrusion Detection and Real-Time Adaptive Security in Medical IoT Using a Cyber-Physical System Design by Faeiz Alserhani

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HSF: A Hybrid SVM-RF Machine Learning Framework for Dual-Plane DDoS Detection and Mitigation in Software-Defined Networks by Abdinasir Hirsi, Lukman Audah, Mohammed A. Alhartomi, Adeb Salh, Godwin Okon Ansa, Mustafa Maad Hamdi, Diani Galih Saputri, Salman Ahmed, Abdullahi Farah

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Cyberterrorism: content, forms and promising countermeasures by D. S. Melnyk

“…The main forms of cyber terrorism are revealed: the commission of terrorist acts by organisations, groups and individuals using computers and computer networks or by influencing the information processed (circulated) in them, as well as the use of cyberspace for other purposes of terrorist activities not directly related to the commission of terrorist acts. …”
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