has been cited by the following article(s):
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[1]
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Feature Selection-Based Multi-Layered Ransomware Detection Approach Using Ensemble Machine Learning
2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN),
2026
DOI:10.1109/QPAIN69676.2026.11546176
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[2]
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Secure Embedding of Sensitive Identity Data in Surveillance Videos Using Steganography
2025 17th International Conference on Electronics, Computers and Artificial Intelligence (ECAI),
2025
DOI:10.1109/ECAI65401.2025.11095540
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[3]
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DCT-Based Video Steganography with Error Correction for Secure and Robust Data Hiding
2025 International Conference on Intelligent Systems and Pioneering Innovations in Robotics and Electric Mobility (INSPIRE),
2025
DOI:10.1109/INSPIRE67328.2025.11300467
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[4]
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A Decentralized Blockchain-Based Voting System: Ensuring Security, Transparency, and Trust Using Ethereum
2025 28th International Conference on Computer and Information Technology (ICCIT),
2025
DOI:10.1109/ICCIT68739.2025.11491750
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[5]
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Balanced Deep Neural Network (BDNN) for Scalable, Real-Time Phishing URL Detection Using Hybrid Machine Learning and Deep Learning Ensembles
2025 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON),
2025
DOI:10.1109/SPICSCON69221.2025.11504230
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[6]
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Adversarial Robust Fraud Detection for Mobile Financial Transactions in Bangladesh: A Comparative Study
2025 IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON),
2025
DOI:10.1109/RAAICON69033.2025.11502164
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[7]
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BDNN Based Enhanced Hybrid Ensemble Framework for Robust Phishing Detection and Secure Real-Time Deployment
2025 28th International Conference on Computer and Information Technology (ICCIT),
2025
DOI:10.1109/ICCIT68739.2025.11490284
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[8]
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A COMPUTATIONAL SYSTEM FOR EVALUATING HUMAN PERCEPTION IN VIDEO STEGANOGRAPHY
Applied Computer Science,
2024
DOI:10.35784/acs-2024-40
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