activity
20222026
most citedVFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication

9 citations · 31 across the 27 of their papers we have counts for

collaborators

28 papers

cs.CR2026

ZK-eSIM: A Privacy-Centric Zero-Knowledge Approach for eSIM Provisioning

Liza Ahmad, Quan Shi, Joshua Haworth +4

GSMA Remote SIM Provisioning (RSP) enables over-the-air delivery of eSIM profiles, but it exposes long-lived identifiers during profile ordering and download. In particular, stable…

cs.CR2026

CDN Tsunami: Exploiting HTTP/3-HTTP/1.1 Conversion for DoS Attacks

Ziyu Lin, Tianlong Su, Yingjie Lin +4

Content Delivery Networks (CDNs) provide high availability, accelerate content delivery for their host websites, but are also vulnerable to different types of Denial-of-Service (Do…

cs.CR2026

Automated Stealthy Wear-Out Attack on Digital Twins With Deep Reinforcement Learning

Joshua Haworth, Aryan Pasikhani, George Pavlides +2

Digital Twins (DTs) have emerged as pivotal enablers of Industry 4.0, offering transformative capabilities such as real-time monitoring, advanced simulation, and precise control of…

cs.CR2026

Selection Integrity for LLM Graph Memory: An Accumulability Criterion for Information-Flow-Blind Retrieval

Zeming Fei, Hongming Fei, Xiaoyang Wang +4

Agent memory is moving to graphs, and the provenance defenses now being built for it all check one thing: the provenance of the records an agent retrieves. We show that this entire…

cs.CR2026

Quantifying Memory Cells Vulnerability for DRAM Security

Zilong Hu, Hongming Fei, Prosanta Gope +3

Dynamic Random Access Memory (DRAM) is pervasive in computer systems. Cell vulnerabilities caused by unintended phenomena (forced retention failure, latency alteration, rowhammer a…

cs.CR2026

Drawing the LINE: Cryptographic Analysis and Security Improvements for the LINE E2EE Protocol

Benjamin Dowling, Prosanta Gope, Mehr U Nisa +1

LINE has emerged as one of the most popular communication platforms in many East Asian countries, including Thailand and Japan, with millions of active users. Therefore, it is esse…

cs.CR2026

Baiting AI: Deceptive Adversary Against AI-Protected Industrial Infrastructures

Aryan Pasikhani, Prosanta Gope, Yang Yang +2

This paper explores a new cyber-attack vector targeting Industrial Control Systems (ICS), particularly focusing on water treatment facilities. Developing a new multi-agent Deep Rei…

cs.CR2026

Unified Framework for Qualifying Security Boundary of PUFs Against Machine Learning Attacks

Hongming Fei, Zilong Hu, Prosanta Gope +1

Physical Unclonable Functions (PUFs) serve as lightweight, hardware-intrinsic entropy sources widely deployed in IoT security applications. However, delay-based PUFs are vulnerable…

cs.LG2025

Towards Irreversible Machine Unlearning for Diffusion Models

Xun Yuan, Zilong Zhao, Jiayu Li +3

Diffusion models are renowned for their state-of-the-art performance in generating synthetic images. However, concerns related to safety, privacy, and copyright highlight the need…

cs.CR2024

Privacy-preserving Robotic-based Multi-factor Authentication Scheme for Secure Automated Delivery System

Yang Yang, Aryan Mohammadi Pasikhani, Prosanta Gope +1

Package delivery is a critical aspect of various industries, but it often incurs high financial costs and inefficiencies when relying solely on human resources. The last-mile trans…

cs.CR2024★ 1 cited

Leveraging A New GAN-based Transformer with ECDH Crypto-system for Enhancing Energy Theft Detection in Smart Grid

Yang Yang, Xun Yuan, Arwa Alromih +3

Detecting energy theft is vital for effectively managing power grids, as it ensures precise billing and prevents financial losses. Split-learning emerges as a promising decentraliz…

cs.CR2024★ 5 cited

Strong Privacy-Preserving Universally Composable AKA Protocol with Seamless Handover Support for Mobile Virtual Network Operator

Rabiah Alnashwan, Yang Yang, Yilu Dong +3

Consumers seeking a new mobile plan have many choices in the present mobile landscape. The Mobile Virtual Network Operator (MVNO) has recently gained considerable attention among t…

cs.LG2024

VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-Series Data

Xun Yuan, Zilong Zhao, Prosanta Gope +1

In the current artificial intelligence (AI) era, the scale and quality of the dataset play a crucial role in training a high-quality AI model. However, often original data cannot b…

cs.LG2024★ 9 cited

VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication

Xun Yuan, Yang Yang, Prosanta Gope +2

In the current artificial intelligence (AI) era, the scale and quality of the dataset play a crucial role in training a high-quality AI model. However, good data is not a free lunc…

cs.CR2024★ 1 cited

UniHand: Privacy-preserving Universal Handover for Small-Cell Networks in 5G-enabled Mobile Communication with KCI Resilience

Rabiah Alnashwan, Prosanta Gope, Benjamin Dowling

Introducing Small Cell Networks (SCN) has significantly improved wireless link quality, spectrum efficiency and network capacity, which has been viewed as one of the key technologi…

cs.CR2024★ 2 cited

Quantum-Secure Certificate-Less Conditional Privacy-Preserving Authentication for VANET

Girraj Kumar Verma, Nahida Majeed Wani, Prosanta Gope

Vehicular Ad-hoc Networks (VANETs) marked a pronounced change in the Intelligent Transport System and Smart Cities through seamless vehicle communication to intensify safety and ef…

cs.CR2024

PhenoAuth: A Novel PUF-Phenotype-based Authentication Protocol for IoT Devices

Hongming Fei, Owen Millwood, Gope Prosanta +2

Physical Unclonable Functions (PUFs) have been shown to be a highly promising solution for enabling high security systems tailored for low-power devices. Commonly, PUFs are utilise…

cs.LG2024

Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting

Asif Iqbal, Prosanta Gope, Biplab Sikdar

Accurate load forecasting is crucial for energy management, infrastructure planning, and demand-supply balancing. Smart meter data availability has led to the demand for sensor-bas…

cs.CR2024

Attacking Delay-based PUFs with Minimal Adversary Model

Hongming Fei, Owen Millwood, Prosanta Gope +2

Physically Unclonable Functions (PUFs) provide a streamlined solution for lightweight device authentication. Delay-based Arbiter PUFs, with their ease of implementation and vast ch…

cs.CR2023

AIDPS:Adaptive Intrusion Detection and Prevention System for Underwater Acoustic Sensor Networks

Soumadeep Das, Aryan Mohammadi Pasikhani, Prosanta Gope +3

Underwater Acoustic Sensor Networks (UW-ASNs) are predominantly used for underwater environments and find applications in many areas. However, a lack of security considerations, th…

cs.LG2023

A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids

Xun Yuan, Yang Yang, Asif Iqbal +2

Energy theft, characterized by manipulating energy consumption readings to reduce payments, poses a dual threat-causing financial losses for grid operators and undermining the perf…

cs.CR2023★ 3 cited

A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids

Arwa Alromih, John A. Clark, Prosanta Gope

The detection of energy thefts is vital for the safety of the whole smart grid system. However, the detection alone is not enough since energy thefts can crucially affect the elect…

cs.AI2022★ 2 cited

Online Dynamic Reliability Evaluation of Wind Turbines based on Drone-assisted Monitoring

Sohag Kabir, Koorosh Aslansefat, Prosanta Gope +2

The offshore wind energy is increasingly becoming an attractive source of energy due to having lower environmental impact. Effective operation and maintenance that ensures the maxi…

cs.CR2022

E-Tenon: An Efficient Privacy-Preserving Secure Open Data Sharing Scheme for EHR System

Zhihui Lin, Prosanta Gope, Jianting Ning +1

The transition from paper-based information to Electronic-Health-Records (EHRs) has driven various advancements in the modern healthcare-industry. In many cases, patients need to s…