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Cyber-Security and Blockchain

Discover more about our department, programs, and initiatives.

Research Area

Intrusion Detection and Prevention Systems (IDPS)
Cryptography
Security in Cloud Computing
Identity and Access Management (IAM)
Incident Response and Forensics
Malware Analysis
Network Security Protocols
Cyber Threat Intelligence
Blockchain Consensus Algorithms
Smart Contracts
Cryptocurrency Technologies
Decentralized Applications (DApps)

Overview

This research cell focuses on combating cyber threats and ensuring secure decentralized systems. Members explore threat detection, cryptographic protocols, and system resilience, integrating traditional cybersecurity with blockchain technologies to enhance robustness and trustworthiness across financial, industrial, and governmental domains.

Research Members

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Ms. Shamima Islam

Assistant Professor

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Ms. Farhana Akter Sunny

Assistant Professor

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Mr. Md. Robiul Islam

Assistant Professor

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Ms. Sagufta Sabah Nakshi

Lecturer

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Publications

The Anisotropic Wooding Problem

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Ag – Cu – H2O nanofluids effect on boundary layer with aligned magnetic field

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MHD nanofluids effect on boundary layer: Numerical and Stability Analysis,

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Effects of variable viscosity & thermal conductivity on steady Marangoni boundary layer heat transfer of water based nanofluid containing Ag, Cu, Al2O3 and TiO2 nanoparticles

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Priority-based Traceability in Crude Oil Refined Products Supply Chain Through Blockchain

DOI: https://doi.org/DOI: 10.1109/STI64222.2024.10951058

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NUMERICAL SIMULATION OF MARANGONI MAGNETOHYDRODYNAMIC BIO-NANOFLUID CONVECTION FROM A NON-ISOTHERMAL SURFACE WITH MAGNETIC INDUCTION EFFECTS: A BIO-NANOMATERIAL MANUFACTURING TRANSPORT MODEL

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Similarity solutions of Marangoni heat transfer flow of water based nanofluid containing nanoparticles with variable viscosity and thermal conductivity

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Ferrofluid convection flow & heat transfer over a stretching surface in the presence of magnetic induction effects

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A quantitative analysis of preventive measures to mitigate the infectious diseases using SIR model by optimal control technique

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Effects of isoperimetric constraint for reducing HSV-2 infection using optimal control strategy

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Study of Von Neumann Abelian Regular Rings

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Sensitivity analysis of linear programming in decision making model

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An approach to diet cost optimization for different age groups using linear programming

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The onset of convection in the Wooding problem with anisotropic permeability

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IntruDetect: A Hybrid Deep Learning Approach for Intrusion Detection in Network Security

IEEE

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Boomerang: Automated Threat Detection and Incident Response Framework for Virtual Machines in Cloud Environments

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A systematic review of blockchain applications

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Machine learning and deep learning algorithms in detecting COVID-19 utilizing medical images: a comprehensive review

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COVID-19 Identification System from X-Ray Images of Chest using Deep Neural Network with Transfer Learning

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Investigating external audit records to detect fraudulent firms employing various machine learning methods

Springer Singapore

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A Lightweight Federated–Ensemble Deep Learning Approach for Early Detection of Alzheimer’s Disease Using MRI Imaging

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Boomerang: Automated Threat Detection and Incident Response Framework for Virtual Machines in Cloud Environments

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FedSP: Privacy-Preserving Malware Detection Model through Lightweight Federated Learning

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ZTH-HealthChain: A Zero-Trust HealthChain Defense System for Securing Healthcare Data in Industrial Cyber-Physical Systems Using Deep Learning and Blockchain.

IEEE Xplore

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An Optimized Performance Benchmarking Private Blockchain Framework for Sustainable Food Supply Chain.

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ThyroNet-XAI: An Explainable Hybrid Deep Learning Framework for Thyroid Cancer Diagnosis Using Ultrasound and Clinical Data.

IEEE Xplore

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Explainable Multi-Modal Ensemble Learning for Flood Prediction from SAR and Optical Satellite Imagery.

IEEE Xplore

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COVID-19 Identification System from X-Ray Images of Chest using Deep Neural Network with Transfer Learning

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Accurate Detection of Fake Job Posts Using Ensemble Machine Learning and Explainable AI

Taylor and Francis Book Chapter

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