Kevin Curran

Professor of Cyber Security

University of Ulster - Magee Campus

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom Professors in Cybersecurity Cybersecurity professors in United Kingdom

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Kevin Curran is a faculty member at the University of Ulster - Magee Campus in the UK. His research areas include Cyber Security, focusing on topics such as legal text classification, IoT monitoring platforms, and blockchain security algorithms. Additionally, he explores enhancing data glove usability through neural networks and compliance with GDPR regulations.

Articles (16)

Year:

2025

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (2)

Joan Condell

Prof at Ulster University

University of Ulster

UNITED KINGDOM

View details

James Connolly

Lecturer / researcher

Atlantic Technological University

IRELAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Kevin Curran

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

Evaluating Shallow and Deep Learning Strategies for Legal Text Classification of Clauses in Non-Disclosure Agreements

A Cloud Based IoT Electricity Consumption Monitoring Platform for a Residential Household

Performance Analysis of Blockchain-Enabled Security and Privacy Algorithms in Connected and Autonomous Vehicles: A Comprehensive Review

Improving Data Glove Accuracy and Usability Using a Neural Network When Measuring Finger Joint Range of Motion

Secure energy aware routing protocol for IEEE 802.15.4 wireless sensor networks

Improving Data Glove Accuracy and Usability Using a Neural Network When Measuring Finger Joint Range of Motion

Reliability and Validity of Clinically Accessible Smart Glove Technologies to Measure Joint Range of Motion

Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis

How to Achieve Compliance with GDPR Article 17 in a Hybrid Cloud Environment

BZKP: Blockchain-based zero-knowledge proof model for enhancing healthcare security in Bahrain IoT smart cities and COVID-19 risk mitigation

Identifying the use of anonymising proxies to conceal source IP addresses

Detection of Anonymising Proxies Using Machine Learning

Identifying the Use of Anonymising Proxies to Conceal Source IP Addresses

Economic costs and health-related quality of life associated with individual specific reminiscence: Results from the InspireD Feasibility Study

‘There is still so much inside’: The impact of personalised reminiscence, facilitated by a tablet device, on people living with mild to moderate dementia and their family carers

How to Achieve Compliance with GDPR Article 17 in a Hybrid Cloud Environment

Collaborators (2)

Joan Condell

James Connolly

Make your next move.