21 citations · 89 across the 34 of their papers we have counts for
41 papers
Beyond Centralized Policy Decision Points: Decentralized Sticky Policy Authorization through Evidence Quorums
Aleena Nazir, Mubashir Husain Rehmani, Bernard Butler +1
Sticky policies remain attached to protected data so that access restrictions can persist across systems, yet request-time authorization often still depends on a centralized Truste…
Crypto-Microeconomics: The Distribution of Bitcoin Wealth Among Diverse Economic Agents
Syed Azhar Hussain, Kashif Ahmad, Mubashir Husain Rehmani
Bitcoin (BTC) wealth distribution is often analyzed with macro indicators such as aggregate addresses, wallet balances, prices, network activity, fees, and hashrate. This letter ap…
Enhanced Dynamic Beamwidth Selection-based THz MAC Protocol for Wireless Data Center Networks
Muhammad Absaruddin, Saim Ghafoor, Mubashir Husain Rehmani
Terahertz (THz) wireless communication offers a promising alternative to traditional wired links in data centers (DCs), enabling ultra high data rates, low latency, and greater sca…
Practical Implications of Implementing Local Differential Privacy for Smart grids
Khadija Hafeez, Mubashir Husain Rehmani, Sumita Mishra +1
Recent smart grid advancements enable near-realtime reporting of electricity consumption, raising concerns about consumer privacy. Differential privacy (DP) has emerged as a viable…
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
Generative Adversarial Networks (GANs) have high computational costs to train their complex architectures. Throughout the training process, GANs' output is analyzed qualitatively b…
Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
Biomedical image datasets can be imbalanced due to the rarity of targeted diseases. Generative Adversarial Networks play a key role in addressing this imbalance by enabling the gen…
Assessing Intra-class Diversity and Quality of Synthetically Generated Images in a Biomedical and Non-biomedical Setting
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
In biomedical image analysis, data imbalance is common across several imaging modalities. Data augmentation is one of the key solutions in addressing this limitation. Generative Ad…
Huff-DP: Huffman Coding based Differential Privacy Mechanism for Real-Time Data
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
With the advancements in connected devices, a huge amount of real-time data is being generated. Efficient storage, transmission, and analysation of this real-time big data is impor…
An Optimized Privacy-Utility Trade-off Framework for Differentially Private Data Sharing in Blockchain-based Internet of Things
Muhammad Islam, Mubashir Husain Rehmani, Jinjun Chen
Differential private (DP) query and response mechanisms have been widely adopted in various applications based on Internet of Things (IoT) to leverage variety of benefits through d…
Differentially Private Enhanced Permissioned Blockchain for Private Data Sharing in Industrial IoT
Muhammad Islam, Mubashir Husain Rehmani, Jinjun Chen
The integration of permissioned blockchain such as Hyperledger fabric (HF) and Industrial internet of Things (IIoT) has opened new opportunities for interdependent supply chain par…
A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
Imbalanced image datasets are commonly available in the domain of biomedical image analysis. Biomedical images contain diversified features that are significant in predicting targe…
Non-Fungible Tokens in Business and Management -- A Review
Najam A. Anjum, Mubashir Husain Rehmani
Non-Fungible Tokens (NFTs) are a new development in blockchain technology. News around NFTs is surrounded by skepticism because unrealistically high prices are being paid online fo…
Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery
Cristina-Madalina Dragan, Muhammad Muneeb Saad, Mubashir Husain Rehmani +1
Publicly available diabetic retinopathy (DR) datasets are imbalanced, containing limited numbers of images with DR. This imbalance contributes to overfitting when training machine…
Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Images
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
Biomedical image datasets can be imbalanced due to the rarity of targeted diseases. Generative Adversarial Networks play a key role in addressing this imbalance by enabling the gen…
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis
Muhammad Muneeb Saad, Ruairi O'Reilly, Mubashir Husain Rehmani
In biomedical image analysis, the applicability of deep learning methods is directly impacted by the quantity of image data available. This is due to deep learning models requiring…
Differential Privacy in Cognitive Radio Networks: A Comprehensive Survey
Muneeb Ul Hassan, Mubashir Husain Rehmani, Maaz Rehan +1
Background/Introduction: Integrating cognitive radio (CR) with traditional wireless networks is helping solve the problem of spectrum scarcity in an efficient manner. The opportuni…
Anomaly Detection in Blockchain Networks: A Comprehensive Survey
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
Over the past decade, blockchain technology has attracted a huge attention from both industry and academia because it can be integrated with a large number of everyday applications…
E-DPNCT: An Enhanced Attack Resilient Differential Privacy Model For Smart Grids Using Split Noise Cancellation
Khadija Hafeez, Donna OShea, Thomas Newe +1
High frequency reporting of energy consumption data in smart grids can be used to infer sensitive information regarding the consumer's life style and poses serious security and pri…
DPNCT: A Differential Private Noise Cancellation Scheme for Load Monitoring and Billing for Smart Meters
Khadija Hafeez, Mubashir Husain Rehmani, Donna OShea
Highly accurate profiles of consumers daily energy usage are reported to power grid via smart meters which enables smart grid to effectively regulate power demand and supply. Howev…
Differential Privacy-based Permissioned Blockchain for Private Data Sharing in Industrial IoT
Muhammad Islam, Mubashir Husain Rehmani, Jinjun Chen
Permissioned blockchain such as Hyperledger fabric enables a secure supply chain model in Industrial Internet of Things (IIoT) through multichannel and private data collection mech…
Optimizing Blockchain Based Smart Grid Auctions: A Green Revolution
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
Traditional smart grid energy auctions cannot directly be integrated in blockchain due to its decentralized nature. Therefore, research works are being carried out to propose effic…
VPT: Privacy Preserving Energy Trading and Block Mining Mechanism for Blockchain based Virtual Power Plants
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
The desire to overcome reliability issues of distributed energy resources (DERs) lead researchers to development of a novel concept named as virtual power plant (VPP). VPPs are sup…
Performance Evaluation of Differential Privacy Mechanisms in Blockchain based Smart Metering
Muneeb Ul Hassan, Mubashir Husain Rehmani, Jinjun Chen
The concept of differential privacy emerged as a strong notion to protect database privacy in an untrusted environment. Later on, researchers proposed several variants of different…
MAC Protocols for Terahertz Communication: A Comprehensive Survey
Saim Ghafoor, Noureddine Boujnah, Mubashir Husain Rehmani +1
Terahertz communication is emerging as a future technology to support Terabits per second link with highlighting features as high throughput and negligible latency. However, the un…