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322 results

Privacy-preserving Surveillance Methods using Homomorphic Encryption

Conference Proceeding
Bowditch, W., Abramson, W., Buchanan, W. J., Pitropakis, N., & Hall, A. J. (2020)
Privacy-preserving Surveillance Methods using Homomorphic Encryption. In ICISSP: Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (240-248). https://doi.org/10.5220/0008864902400248
Data analysis and machine learning methods often involve the processing of cleartext data, and where this could breach the rights to privacy. Increasingly, we must use encrypt...

Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach

Conference Proceeding
Christou, O., Pitropakis, N., Papadopoulos, P., Mckeown, S., & Buchanan, W. J. (2020)
Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach. In Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (289-298). https://doi.org/10.5220/0008902202890298
Phishing is considered to be one of the most prevalent cyber-attacks because of its immense flexibility and alarmingly high success rate. Even with adequate training and high ...

Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection

Journal Article
Tian, Z., Shi, W., Tan, Z., Qiu, J., Sun, Y., Jiang, F., & Liu, Y. (in press)
Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection. Mobile Networks and Applications, https://doi.org/10.1007/s11036-020-01656-7
Organizations' own personnel now have a greater ability than ever before to misuse their access to critical organizational assets. Insider threat detection is a key component ...

BeepTrace: Blockchain-enabled Privacy-preserving Contact Tracing for COVID-19 Pandemic and Beyond

Journal Article
Xu, H., Zhang, L., Onireti, O., Fang, Y., Buchanan, W. J., & Imran, M. A. (in press)
BeepTrace: Blockchain-enabled Privacy-preserving Contact Tracing for COVID-19 Pandemic and Beyond. IEEE Internet of Things, https://doi.org/10.1109/jiot.2020.3025953
The outbreak of COVID-19 pandemic has exposed an urgent need for effective contact tracing solutions through mobile phone applications to prevent the infection from spreading ...

A Distributed Trust Framework for Privacy-Preserving Machine Learning

Conference Proceeding
Abramson, W., Hall, A. J., Papadopoulos, P., Pitropakis, N., & Buchanan, W. J. (2020)
A Distributed Trust Framework for Privacy-Preserving Machine Learning. In Trust, Privacy and Security in Digital Business. , (205-220). https://doi.org/10.1007/978-3-030-58986-8_14
When training a machine learning model, it is standard procedure for the researcher to have full knowledge of both the data and model. However, this engenders a lack of trust ...

FPC-BI: Fast Probabilistic Consensus within Byzantine Infrastructures

Journal Article
Popov, S., & Buchanan, W. J. (2021)
FPC-BI: Fast Probabilistic Consensus within Byzantine Infrastructures. Journal of Parallel and Distributed Computing, 147, 77-86. https://doi.org/10.1016/j.jpdc.2020.09.002
This paper presents a novel leaderless protocol (FPC-BI: Fast Probabilistic Consensus within Byzantine Infrastructures) with a low communicational complexity and which allows ...

Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing

Journal Article
Buchanan, W. J., Imran, M. A., Ur-Rehman, M., Zhang, L., Abbasi, Q. H., Chrysoulas, C., …Papadopoulos, P. (in press)
Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing. Frontiers, https://doi.org/10.3389/frcmn.2020.583376
The outbreak of viruses have necessitated contact tracing and infection tracking methods. Despite various efforts, there is currently no standard scheme for the tracing and tr...

Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples

Conference Proceeding
Babaagba, K., Tan, Z., & Hart, E. (2020)
Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. https://doi.org/10.1109/CEC48606.2020.9185668
Detecting metamorphic malware provides a challenge to machine-learning models as trained models might not generalise to future mutant variants of the malware. To address this,...

DNA and Plaintext Dependent Chaotic Visual Selective Image Encryption

Journal Article
Khan, J. S., Boulila, W., Ahmad, J., Rubaiee, S., Rehman, A. U., Alroobaea, R., & Buchanan, W. J. (2020)
DNA and Plaintext Dependent Chaotic Visual Selective Image Encryption. IEEE Access, 8, 159732-159744. https://doi.org/10.1109/access.2020.3020917
Visual selective image encryption can both improve the efficiency of the image encryption algorithm and reduce the frequency and severity of attacks against data. In this artic...

Block-Sparse Coding Based Machine Learning Approach for Dependable Device-Free Localization in IoT Environment

Journal Article
Zhao, L., Huang, H., Su, C., Ding, S., Huang, H., Tan, Z., & Li, Z. (in press)
Block-Sparse Coding Based Machine Learning Approach for Dependable Device-Free Localization in IoT Environment. IEEE Internet of Things, https://doi.org/10.1109/JIOT.2020.3019732
Device-free localization (DFL) locates targets without equipping with wireless devices or tag under the Internet-of-Things (IoT) architectures. As an emerging technology, DFL ...
62 results

MEMCRYPT CyberASAP Phase 2

2020 - 2021
Ransomware is a form of malicious software that blocks user access to data by encrypting files. A user is then required to pay the attacker a sum of money to receive the encryption artefacts and start...
Funder: Innovate UK | Value: £52,310

Memcrypt (HGSP)

2020 - 2021
Memcrypt focuses on new ways of detecting the usage encryption keys, and has a focus on addressing ransomware.
Funder: Scottish Enterprise | Value: £109,883

OPTIMSING U>P Security and Anonymised Data Cloud Analysis for Duty of Care and Business Continuity

2020 - 2021
This project will build on the work that has already been done by U>P to develop the MVP (Minimum Viable Product), which delivers people analytics data through active data gathering, and the work done...
Funder: Scottish Funding Council | Value: £15,000

MemCrypt

2020 - 2020
At the core of the work is to addresses risks related to the leakage of encryption keys, and which can lead to data loss issues and trust breaches. Along with detecting keys in memory, the team has de...
Funder: Innovate UK | Value: £31,930

Cyber Security and the Third Sector in Scotland: a Pilot Project exploring Third Sector awareness and usage of Scottish Government cyber security products and resources

2020 - 2020
The project aims to better understand how the Scottish Government’s cyber products, resources and support more generally are received by a small sample of differing Third Sector organisations. In doin...
Funder: Scottish Government | Value: £2,780

Repairing Polluted Artificial Intelligent Systems with Machine Unlearning

2019 - 2021
This project is intended to seek in-depth understanding of the new promising decentralised machine learning scheme, namely federated learning, and develop a proof-of-concept algorithm-independent unle...
Funder: ENU Development Trust | Value: £29,998

MemoryCrypt

2019 - 2020
The usage of encryption keys is an important aspect in preserving privacy in communications. Increasingly these communications are protected using SSL/TLS methods. Along with this, there is a general ...
Funder: The Scottish Informatics & Computer Science Alliance | Value: £10,759

Cryptodoc

2019 - 2019
This project aims to investigate the integration of a cipher policy for the protection of data, and how these can be applied into a cloud-based infrastructure. A key focus for the implementation will ...
Funder: Scottish Funding Council | Value: £5,000

Freemove Innovation Voucher

2019 - 2020
A project to provide decentralised identity for meeting KYC & AML requirements in the property industry.
Funder: Scottish Funding Council | Value: £5,000

Shared Secret Steganography for Usable Mnemonic Based Security

2019 - 2020
This project will use steganography technology and shared secrets to improve the usability of the process of recovering cryptocurrency/distributed ledger wallet. It will do so by encoding parts of the...
Funder: Scottish Funding Council | Value: £5,000
14 results

Enhancement of identified effective ransomware detection techniques

2020 - date
Simon Davies | Director of Studies: Rich Macfarlane | Second Supervisor: Prof Bill Buchanan

Evaluating individual engagement with e-Participation systems

2019 - date
Peter Cruickshank | Director of Studies: Prof Hazel Hall

Privacy-Preserving Passive DNS (PRESERVE DNS) Using Hyperledger Fabric

2019 - date
Mr. Pavlos Papadopoulos | Director of Studies: Dr Nick Pitropakis | Second Supervisor: Prof Bill Buchanan

Privacy-preserving architecture for self-sovereign identity

2018 - date
Mr Will Abramson | Director of Studies: Prof Bill Buchanan | Second Supervisor: Dr Owen Lo

Application of evolutionary machine learning in metamorphic malware analysis and detection

2017 - date
Ms Kehinde Babaagba | Director of Studies: Dr Thomas Tan | Second Supervisor: Prof Emma Hart

Industrial control systems cybersecurity analysis and countermeasures

2017 - date
Andres Santiago Robles Durazno | Director of Studies: Dr Naghmeh Moradpoor Sheykhkanloo | Second Supervisor: James McWhinnie

Behaviour profiling using Touch-based Behavioural Biometrics for Continuous Authentication Systems

2016 - date
Peter Aaby | Director of Studies: Dr Thomas Tan | Second Supervisor: Prof Ben Paechter

Utilising reduced file representations to facilitate fast contraband detection

2015 - 2019
The field of Digital Forensics has been facing scalability issues for the last 10 years, resulting in huge backlogs for la...
Dr Sean McKeown | Director of Studies: Dr Gordon Russell | Second Supervisor: Dr Petra Leimich

RESCUE: Evaluation of a fragmented secret share system in distributed cloud architecture

2014 - 2019
This work aims to address current problems of security within Cloud-based systems, as the risks in moving data i...
Dr Elo Ukwandu | Director of Studies: Prof Bill Buchanan | Second Supervisor: Dr Gordon Russell

Forensic analysis of large capacity digital storage devices

2013 - 2017
Triage of large capacity digital devices
Philip Penrose | Director of Studies: Prof Bill Buchanan | Second Supervisor: Rich Macfarlane