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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Extraction and Recognition of Color Feature in true Color Images Using Neural Network Based on Colored Histogram Technique by Orjuwan Aljawadi

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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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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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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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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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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

“…With the maturation of computer graphics (CG) technology in the field of image generation, the realism of created images has been improved significantly. …”
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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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Bankruptcy forecasting in enterprises and its security using hybrid deep learning models by Akshat Gaurav, Brij B. Gupta, Shavi Bansal, Konstantinos E. Psannis

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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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Embedding Trust in the Media Access Control Protocol for Wireless Networks by Chaminda Alocious, Hannan Xiao, Bruce Christianson, Joseph Spring

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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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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…Network intrusion detection systems, as a fundamental part of network security, have become increasingly significant. …”
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XAI-XGBoost: an innovative explainable intrusion detection approach for securing internet of medical things systems by Yousif Hosain, Muhammet Çakmak

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