GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture
Journal Article
Lo, O., Buchanan, W., Sayeed, S., Papadopoulos, P., Pitropakis, N., & Chrysoulas, C. (2022)
GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture. Sensors, 22(6), Article 2291. https://doi.org/10.3390/s22062291
E-governance is a process that aims to enhance a government’s ability to simplify all the processes that may involve government, citizens, businesses, and so on. The rapid evo...
A Privacy-Preserving Secure Framework for Electric Vehicles in IoT using Matching Market and Signcryption
Journal Article
Kumar, G., Rai, M., Saha, R., Buchanan, W. J., Thomas, R., Geetha, G., …Rodrigues, J. (2020)
A Privacy-Preserving Secure Framework for Electric Vehicles in IoT using Matching Market and Signcryption. IEEE Transactions on Vehicular Technology, 69(7), 7707-7722. https://doi.org/10.1109/tvt.2020.2989817
The present world of vehicle technology is inclined to develop Electric Vehicles (EVs) with various optimized features. These vehicles need frequent charging which takes a lon...
Evaluation of Ensemble Learning for Android Malware Family Identification
Journal Article
Wylie, J., Tan, Z., Al-Dubai, A., & Wang, J. (2020)
Evaluation of Ensemble Learning for Android Malware Family Identification. Journal of Guangzhou University (Natural Science Edition), 19(4), 28-41
Every Android malware sample generally belongs to a specific family that performs a similar set of actions and characteristics. Having the ability to effectively identify Andr...
PyDentity: A playground for education and experimentation with the hyperledger verifiable information exchange platform
Journal Article
Abramson, W., Papadopoulos, P., Pitropakis, N., & Buchanan, W. J. (2021)
PyDentity: A playground for education and experimentation with the hyperledger verifiable information exchange platform. Software Impacts, 9, https://doi.org/10.1016/j.simpa.2021.100101
PyDentity lowers the entry barrier for parties interested in experimenting with the Hyperledger’s verifiable information exchange platform. It enables educators, developers an...
Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks Against Two Objective Functions Using a Novel Dataset
Journal Article
Foley, J., Moradpoor, N., & Ochen, H. (2020)
Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks Against Two Objective Functions Using a Novel Dataset. Security and Communication Networks, 2020, 1-17. https://doi.org/10.1155/2020/2804291
One of the important features of Routing Protocol for Low-Power and Lossy Networks (RPL) is Objective Function (OF). OF influences an IoT network in terms of routing strategie...
Analysis: Building the Future of EU: Moving Forward with International Collaboration on Blockchain
Journal Article
Buchanan, B., & Naqvi, N. (2018)
Analysis: Building the Future of EU: Moving Forward with International Collaboration on Blockchain. The Journal of the British Blockchain Association, 1(1), 1-4
A blockchain enabled 'Digital Single Economy " can act as a catalyst for growth and could provide a platform where borderless innovative practices will thrive and create a tru...
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 ...
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions
Journal Article
Sai, S., Mittal, U., Chamola, V., Huang, K., Spinelli, I., Scardapane, S., …Hussain, A. (2024)
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cognitive Computation, 16, 482-506. https://doi.org/10.1007/s12559-023-10219-3
ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. Howev...
Impact of cyberattacks on stock performance: a comparative study
Journal Article
Tweneboah-Kodua, S., Atsu, F., & Buchanan, W. (2018)
Impact of cyberattacks on stock performance: a comparative study. Information and Computer Security, 26(5), 637-652. doi:10.1108/ics-05-2018-0060
The study uses cyberattacks announcements on 96 firms that are listed on S&P 500 over the period January 03, 2013 and December 29, 2017.
The empirical analysis was performed i...
Differential Area Analysis for Ransomware Attack Detection within Mixed File Datasets
Journal Article
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2021)
Differential Area Analysis for Ransomware Attack Detection within Mixed File Datasets. Computers and Security, 108, https://doi.org/10.1016/j.cose.2021.102377
The threat from ransomware continues to grow both in the number of affected victims as well as the cost incurred by the people and organisations impacted in a successful attac...