Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security by Harshala Shingne, Diptee Chikmurge, Priya Parkhi, Poorva Agrawal

“…Finally, it considers the optimization of cryptographic protocols in a distributed quantum network using Multi-Agent Deep Q-Networks. This multi-agent system strengthens both the security and computational efficiency by reducing attack vulnerabilities by 15–18 % and lowering the computational complexity by 20–25 %. …”
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Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method by Behnam Seyedi, Octavian Postolache

“…However, IoT systems face significant security challenges due to decentralized architectures, resource-constrained devices, and dynamic network environments. …”
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BERT-based network for intrusion detection system by Yong Yang, Xing Peng

“…The BERT model, with its bidirectional encoder structure, captures complex contextual information in sequences, producing high-quality feature representations. After feature extraction is completed, we further perform classification using a classifier based on a bidirectional gated recurrent unit (GRU) network, which is able to efficiently process sequence data and reduce computational complexity while capturing temporal dependencies in the sequences. …”
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A Novel Semantic Driven Meta-Learning Model for Rare Attack Detection by Y. Annie Jerusha, S. P. Syed Ibrahim, Vijay Varadharajan

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Refined Judgment of Urban Traffic State Based on Machine Learning and Edge Computing by Lijuan Liu

“…For providing short-distance services and applications, we should start from the edge of the program to create a faster network. Service response covers the basic needs of real-time processing industry, intelligent applications, and security and privacy protection. …”
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An Mcformer encoder integrating Mamba and Cgmlp for improved acoustic feature extraction by Nurmemet Yolwas, Yongchao Li, Lixu Sun, Jian Peng, Zhiwu Sun, Yajie Wei, Yineng Cai

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IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing by Adhan Efendi, Muhammad Imam Ammarullah, Indra Griha Tofik Isa, Meli Puspita Sari, Jasmine Nurul Izza, Yohanes Sinung Nugroho, Hamid Nasrullah, Denny Alfian

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Analysis and Identification of Students with Financial Difficulties: A Behavioural Feature Perspective by Yong Ma, Xingxu Zhang, Xiaoqiang Di, Tao Ren, Huamin Yang, Binbin Cai

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Botnets’ similarity analysis based on communication features and D-S evidence theory by ZANG Tian-ning1, YUN Xiao-chun1, ZHANG Yong-zheng2, MEN Chao-guang1, CUI Xiang2

“…A potential hidden relationship may exist among different zombie groups.A method to analyze the relationship among botnets was proposed based on the communication activities.The method extracted several communication fea-tures of botnet,including the number of flows per hour,the number of packets per flow,the number of flows per IP and the packet payloads.It defined similarity statistical functions of the communication features,and built the analysis model of botnets relationship based on the advanced dempster-shafer（D-S） evidence theory to synthetically evaluate the simi-larities between different zombie groups.The experiments were conducted using several botnet traces.The results show that the method is valid and efficient,even in the case of encrypted botnet communication messages.Moreover,the ideal processing results is achieved by applying our method to analyze the data captured from the security monitoring platform of computer network,as well as compare with similar work.…”
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Advances to IoT security using a GRU-CNN deep learning model trained on SUCMO algorithm by Amit Sagu, Nasib Singh Gill, Preeti Gulia, Noha Alduaiji, Piyush Kumar Shukla, Mohd Asif Shah

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Decoding the shadows: multi-modal identity profiling in darknet markets using latent behavior feature fusion by Xuan Zhang, Pengfei Li, Xin Tong, K. P. Chow, DeYu Yuan, Si Chen, Bo Jin

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Real-time multi-level trust-based secure routing for improved QoS in WSN using blockchain by S. Ramachandra, M. Baskar

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AgriChainSync: A Scalable and Secure Blockchain-Enabled Framework for IoT-Driven Precision Agriculture by Hassam Ahmed Tahir, Walaa Alayed, Waqar Ul Hassan, Fahad Nabi, Truong X. Tran

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Design a new scheme for image security using a deep learning technique of hierarchical parameters by Khazaal Yasmine M., Falih Mohanaed Ajmi, Majeed Abbas Hamid

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Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis by Louai A. Maghrabi, Mohammed Altwijri, Sami Saeed Binyamin, Fouad Shoie Alallah, Diaa Hamed, Mahmoud Ragab

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User alignment across social networks by Shen Jiaqi, Zhou Guomin

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FPGA Implementations for Data Encryption and Decryption via Concurrent and Parallel Computation: A Review by Abdulmajeed Adil Yazdeen, Subhi R. M. Zeebaree, Mohammed Mohammed Sadeeq, Shakir Fattah Kak, Omar M. Ahmed, Rizgar R. Zebari

“…Data security, integrity, and verification may be used due to these features. …”
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VAE-Based Real-Time Anomaly Detection Approach for Enhanced V2X Communication Security by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Stefanos Gritzalis, Jong Hyuk Park

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A computational enhancement of Base64 algorithm using Residue Number System algorithms by Kolawole Bariu LOGUNLEKO, Abolore Muhamin LOGUNLEKO, Ayisat Wuraola ASAJU-GBOLAGADE, Akinbowale Nathaniel BABATUNDE, Kazeem Alagbe GBOLAGADE

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Enhancing Industrial Wireless Communication Security Using Deep Learning Architecture-Based Channel Frequency Response by Lamia Alhoraibi, Daniyal Alghazzawi, Reemah Alhebshi, Liqaa F. Nawaf, Fiona Carroll

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