173 citations · 555 across the 30 of their papers we have counts for
30 papers
Preprocessing Failure and Adversarial Detection in Depthwise-Separable Edge Vision Systems
Jannatul Masruk Mukta, Rifa Sanjida, Adrita Rahman Tory +2
Preprocessing-based defenses are the standard first-line response to adversarial attacks on edge vision systems, requiring no retraining, no architectural changes, and widely recom…
Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface
Adrita Rahman Tory, ABM Shawkat Ali, Md Abu Layek +1
Federated learning enables privacy-conscious collaboration for network intrusion detection without centralizing sensitive traffic data, yet its deployment in operational environmen…
A Decade of Healthcare Cyber Threats: Empirical Analysis, Evidence-Based Prioritisation, and AI Threat Model
Sadia Mehrin Rahi, Ayesha Siddika, Istiyak Hasan Maruf +3
Healthcare systems face persistent and evolving cyber threats, yet how adversarial tactics and techniques have shifted over time has not been systematically characterised using emp…
Multi-LLM Consensus Framework for Evaluating Banking-Sector NIDS Dataset Coverage of MITRE ATT&CK Techniques
Sanjida Khanom, Sadia Afrin Khan, Adrita Rahman Tory +2
The systemic criticality of global banking networks has ren-dered them high-priority targets for advanced persistent threats, neces-sitating Network Intrusion Detection Systems (NI…
A Framework for Post Quantum Migration in IoT-Based Healthcare Systems
Asif Alif, Khondokar Fida Hasan, Basker Palaniswamy +1
Smart healthcare industry is increasingly relying on Internet of Things (IoT) devices to improve patient care and operational efficiency. However, the cryptographic algorithms that…
Gamifying Cyber Governance: A Virtual Escape Room to Transform Cybersecurity Policy Education
Khondokar Fida Hasan, William Hughes, Adrita Rahman
Serious games are gaining popularity as effective teaching and learning tools, providing engaging, interactive, and practical experiences for students. Gamified learning experience…
ISADM: An Integrated STRIDE, ATT&CK, and D3FEND Model for Threat Modeling Against Real-world Adversaries
Khondokar Fida Hasan, Hasibul Hossain Shajeeb, Chathura Abeydeera +2
FinTechs increasing connectivity, rapid innovation, and reliance on global digital infrastructures present significant cybersecurity challenges. Traditional cybersecurity framework…
An Evaluation Framework for Network IDS/IPS Datasets: Leveraging MITRE ATT&CK and Industry Relevance Metrics
Adrita Rahman Tori, Khondokar Fida Hasan
The performance of Machine Learning (ML) and Deep Learning (DL)-based Intrusion Detection and Prevention Systems (IDS/IPS) is critically dependent on the relevance and quality of t…
A Secured Triad of IoT, Machine Learning, and Blockchain for Crop Forecasting in Agriculture
Najmus Sakib Sizan, Md. Abu Layek, Khondokar Fida Hasan
To improve crop forecasting and provide farmers with actionable data-driven insights, we propose a novel approach integrating IoT, machine learning, and blockchain technologies. Us…
Multimodal Marvels of Deep Learning in Medical Diagnosis: A Comprehensive Review of COVID-19 Detection
Md Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb +6
This study presents a comprehensive review of the potential of multimodal deep learning (DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of art…
MGAN-CRCM: A Novel Multiple Generative Adversarial Network and Coarse-Refinement Based Cognizant Method for Image Inpainting
Nafiz Al Asad, Md. Appel Mahmud Pranto, Shbiruzzaman Shiam +4
Image inpainting is a widely used technique in computer vision for reconstructing missing or damaged pixels in images. Recent advancements with Generative Adversarial Networks (GAN…
Quantum Threat in Healthcare IoT: Challenges and Mitigation Strategies
Asif Alif, Khondokar Fida Hasan, Jesse Laeuchli +1
The Internet of Things (IoT) has transformed healthcare, facilitating remote patient monitoring, enhanced medication adherence, and chronic disease management. However, this interc…
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin +4
Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors a…
Blockchain-Enabled Federated Learning Approach for Vehicular Networks
Shirin Sultana, Jahin Hossain, Maruf Billah +4
Data from interconnected vehicles may contain sensitive information such as location, driving behavior, personal identifiers, etc. Without adequate safeguards, sharing this data je…
A Framework for Migrating to Post-Quantum Cryptography: Security Dependency Analysis and Case Studies
Khondokar Fida Hasan, Leonie Simpson, Mir Ali Rezazadeh Baee +5
Quantum computing is emerging as a significant threat to information protected by widely used cryptographic systems. Cryptographic methods, once deemed secure for decades, are now…
Proposition of Augmenting V2X Roadside Unit to Enhance Cooperative Awareness of Heterogeneously Connected Road Users
Keyvan Ansari, Khondokar Fida Hasan
Intelligent transportation and autonomous mobility solutions rely on cooperative awareness developed by exchanging proximity and mobility data among road users. To maintain pervasi…
An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin
Brain tumors present a grave risk to human life, demanding precise and timely diagnosis for effective treatment. Inaccurate identification of brain tumors can significantly diminis…
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
Md Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana +4
In this paper have developed a novel hybrid hierarchical attention-based bidirectional recurrent neural network with dilated CNN (HARDC) method for arrhythmia classification. This…
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection
Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam +5
Network intrusion detection systems (NIDSs) play an important role in computer network security. There are several detection mechanisms where anomaly-based automated detection outp…
Machine Learning-based Lung and Colon Cancer Detection using Deep Feature Extraction and Ensemble Learning
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin +3
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of biochemical abnormalities. Lung and colon cancer have emerged as two of the leading causes of…
STRIDE-based Cyber Security Threat Modeling for IoT-enabled Precision Agriculture Systems
Md. Rashid Al Asif, Khondokar Fida Hasan, Md Zahidul Islam +1
The concept of traditional farming is changing rapidly with the introduction of smart technologies like the Internet of Things (IoT). Under the concept of smart agriculture, precis…
Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform
M. Humayn Kabir, Khondokar Fida Hasan, Mohammad Kamrul Hasan +1
Artificial Intelligence (AI) is one of the disruptive technologies that is shaping the future. It has growing applications for data-driven decisions in major smart city solutions,…
Long-Range Time-Synchronisation Methods in LoRaWAN-based IoT
Timothy Jones, Khondokar Fida Hasan
LoRa (Long-Range) is an LPWAN (low-power wide-area network) protocol that is part of the IoT family that focusses on long-range communication of up to 14km, albeit with delay-inher…
Security, Privacy and Trust: Cognitive Internet of Vehicles
Khondokar Fida Hasan, Anthony Overall, Keyvan Ansari +2
The recent advancement of cloud technology offers unparallel strength to support intelligent computations and advanced services to assist with automated decisions to improve road t…