Resolution-Aware Deep Learning with Feature Space Optimization for Reliable Identity Verification in Electronic Know Your Customer Processes by Mahasak Ketcham, Pongsarun Boonyopakorn, Thittaporn Ganokratanaa

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Retrieving Encrypted Images Using Convolution Neural Network and Fully Homomorphic Encryption by Emad M. Alsaedi, Alaa kadhim Farhan

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Integration of metaheuristic based feature selection with ensemble representation learning models for privacy aware cyberattack detection in IoT environments by M. Karthikeyan, R. Brindha, Maria Manuel Vianny, V. Vaitheeshwaran, Mrinal Bachute, Sanket Mishra, Bibhuti Bhusan Dash

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VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification by Kambham Pratap Joshi, Vishruth Boraiah Gowda, Parameshachari Bidare Divakarachari, Paramesh Siddappa Parameshwarappa, Raj Kumar Patra

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Design and Implementation of FTTP Using Gigabit Passive Optical Network Architecture in Ghana by Isaac Adjaye Aboagye, Emmanuel Baah-Boadi, Jehkindra Klu-Jackson, Evans Danquah Boateng, Jesse Ghansah, Nii Longdon Sowah, Margaret Richardson Ansah

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Smart Grid Intrusion Detection for IEC 60870-5-104 With Feature Optimization, Privacy Protection, and Honeypot-Firewall Integration by Pedamallu Sai Mrudula, Rayappa David Amar Raj, Archana Pallakonda, Yanamala Rama Muni Reddy, K. Krishna Prakasha, V. Anandkumar

“…The experimental results demonstrate the framework’s operational capability and effectiveness for SCADA network security, achieving 99.29% accuracy, 94.8% recall and 4.1% false positive rates.…”
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Medical image segmentation network based on multi-scale cross-attention and wavelet transform by Fan Qin, Yongjie Liang, Chaofeng Yang, Yulong Cao, Jiaying Fan, Peiyuan Wang, Bizhong Wei

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A novel reconstruction-based video anomaly detection with idempotent generative network by Wenmin Dong, Lifeng Zhang, Wenjuan Shi, Xiangwei Zheng, Yuang Zhang

“…Finite Scalar Quantization (FSQ) layer is designed to discretize the encoder’s output, preserving key discriminative features. Meanwhile, the Pyramid Deformation Module (PDM), as an integral part of PSVAE, computes offset maps of original video frames for anomaly detection supplementation. …”
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FFA-YOLOv7: Improved YOLOv7 Based on Feature Fusion and Attention Mechanism for Wearing Violation Detection in Substation Construction Safety by Rong Chang, Bingzhen Zhang, Qianxin Zhu, Shan Zhao, Kai Yan, Yang Yang

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Protecting IOT Networks Through AI-Based Solutions and Fractional Tchebichef Moments by Islam S. Fathi, Hanin Ardah, Gaber Hassan, Mohammed Aly

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ENHANCED POLSAR IMAGE CLASSIFICATION USING DEEP CONVOLUTIONAL AND TEMPORAL CONVOLUTIONAL NETWORKS by Batool Anwar, Mohamed M. Morsey, Islam Hegazy, Zaki T. Fayed, Taha El-Arif

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Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

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Knowledge Graph Representation Learning Model Based on Capsule Network and Information Fusion by Chu Zhao, Gilja So, Rui Chen

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Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks. by Rong Wang, Weibin Jiang, Yanjin Shen, Qiqing Yue, Kan-Lin Hsiung

“…The rapid proliferation of the Power Internet of Things (PIoT) has given rise to severe network security threats, with eavesdropping attacks emerging as a paramount concern. …”
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Generative Adversarial and Transformer Network Synergy for Robust Intrusion Detection in IoT Environments by Pardis Sadatian Moghaddam, Ali Vaziri, Sarvenaz Sadat Khatami, Francisco Hernando-Gallego, Diego Martín

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Adaptive resource optimization mechanism for blockchain sharding in digital twin edge network by Li JIANG, Shengli XIE, Hui TIAN

“…To address the security and privacy issues for data sharing in digital twin edge networks, a new distributed and secure data sharing mechanism was developed by leveraging blockchain sharding.Considering dynamic and time varying features in digital twin edge networks and mapping errors of physic networks, an adaptive resource allocation model was formulated which jointly optimized cluster head selection, local base station (BS) consensus access selection, spectrum and computation consensus resources allocation, in order to maximize transactional throughput for the blockchain sharding.Moreover, a digital twin edge networks empowered two-layered proximal policy optimization (PPO) algorithm was designed to obtain the optimal solutions.Numerical results illustrate that the proposed algorithm can effectively improve the transactional throughput for the blockchain sharding.Meanwhile, it can well adapt to the mapping errors.…”
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A Survey of Quality-of-Service and Quality-of-Experience Provisioning in Information-Centric Networks by Nazmus Sadat, Rui Dai

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Group Authentication Key Agreement Protocol Based on Certificateless Cryptography in UAV Network by Yuecheng WANG, Youwen ZHU, Zhiqiang ZHANG

“…If directly applied to multi-party interaction scenarios, traditional two-party key negotiation protocols require numerous interaction rounds, resulting in significant computational and communication overhead. Therefore, group key agreement protocols for UAV networks must provide a lighter computing process and stronger security guarantees.Methods This protocol adopts a certificateless key system. …”
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A Dual-band Planar Antenna for Wireless Local Area Network Applications by Yasser A. Fadhel

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SoybeanNet: A Lightweight Neural Network for Soybean Pod Detection and Quantification by Nayak Ashu, Raghatate Kapesh Subhash

“…Future work will focus on extending SoybeanNet to detect and quantify other critical crop features and integrating it with broader agricultural monitoring systems to support sustainable farming and food security.…”
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