activity
20202022
most citedA Blockchain-Based Consent Mechanism for Access to Fitness Data in the Healthcare Context

37 citations · 45 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CR2022

Email Summarization to Assist Users in Phishing Identification

Amir Kashapov, Tingmin Wu, Alsharif Abuadbba +1

Cyber-phishing attacks recently became more precise, targeted, and tailored by training data to activate only in the presence of specific information or cues. They are adaptable to…

cs.CR202237 cited

A Blockchain-Based Consent Mechanism for Access to Fitness Data in the Healthcare Context

May Alhajri, Carsten Rudolph, Ahmad Salehi Shahraki

Wearable fitness devices are widely used to track an individual's health and physical activities to improve the quality of health services. These devices sense a considerable amoun…

cs.CR20228 cited

Privacy of Fitness Applications and Consent Management in Blockchain

May Alhajri, Ahmad Salehi Shahraki, Carsten Rudolph

The rapid advances in fitness wearable devices are redefining privacy around interactions. Fitness wearables devices record a considerable amount of sensitive and private details a…

cs.CR2021

Authentication and Access Control in 5G Device-to-Device Communication

Jithu Geevargheese Panicker, Ahmad Salehi S., Carsten Rudolph

Device-to-device (D2D) communication is one of the most recent advancements in wireless communication technology. It was introduced in cellular communication technology by the 3rd…

cs.CR2021

Decentralized Policy Information Points for Multi-Domain Environments

M Ridwanur Rahman, Ahmad Salehi Shahraki, Carsten Rudolph

Access control models have been developed to control authorized access to sensitive resources. This control of access is important as there is now a need for collaborative resource…

cs.CV2021

Robust Training Using Natural Transformation

Shuo Wang, Lingjuan Lyu, Surya Nepal +3

Previous robustness approaches for deep learning models such as data augmentation techniques via data transformation or adversarial training cannot capture real-world variations th…