Testing And Hardening IoT Devices Against the Mirai Botnet
Conference Proceeding
Kelly, C., Pitropakis, N., McKeown, S., & Lambrinoudakis, C. (2020)
Testing And Hardening IoT Devices Against the Mirai Botnet. https://doi.org/10.1109/CyberSecurity49315.2020.9138887
A large majority of cheap Internet of Things (IoT) devices that arrive brand new, and are configured with out-of-the-box settings, are not being properly secured by the manufa...
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...
Scenario Analysis using Out-of-line Firewall Evaluation Framework.
Conference Proceeding
Saliou, L., Buchanan, W. J., Graves, J., & Munoz, J. (2007)
Scenario Analysis using Out-of-line Firewall Evaluation Framework
Distributed Denial-of-Service (DDoS) attacks against corporate networks and assets are increasing, and their potential risk for future attacks is also a major concern. These a...
Can Federated Models Be Rectified Through Learning Negative Gradients?
Conference Proceeding
Tahir, A., Tan, Z., & Babaagba, K. O. (2024)
Can Federated Models Be Rectified Through Learning Negative Gradients?. In Big Data Technologies and Applications (18-32). https://doi.org/10.1007/978-3-031-52265-9_2
Federated Learning (FL) is a method to train machine learning (ML) models in a decentralised manner, while preserving the privacy of data from multiple clients. However, FL is...
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2019)
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System. In CITT 2018. , (91-103). https://doi.org/10.1007/978-3-030-05532-5_7
Critical infrastructures such as nuclear plants or water supply systems are mainly managed through electronic control systems. Such systems comprise of a number of elements, s...
RESCUE: Resilient Secret Sharing Cloud-based Architecture.
Conference Proceeding
Ukwandu, E., Buchanan, W. J., Fan, L., Russell, G., & Lo, O. (2015)
RESCUE: Resilient Secret Sharing Cloud-based Architecture. In 2015 IEEE Trustcom/BigDataSE/ISPA Vol. 1, (872-879). https://doi.org/10.1109/Trustcom.2015.459
This paper presents an architecture (RESCUE) of a system that is capable of implementing: a keyless encryption method; self-destruction of data within a time frame without use...
Numerical encoding to tame SQL injection attacks
Conference Proceeding
Uwagbole, S., Buchanan, W. J., & Fan, L. (2016)
Numerical encoding to tame SQL injection attacks. In 2016 IEEE/IFIP Network Operations and Management Symposium (NOMS),https://doi.org/10.1109/NOMS.2016.7502997
Recent years have seen an astronomical rise in SQL Injection Attacks (SQLIAs) used to compromise the confidentiality, authentication and integrity of organisations’ databases....
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,...
Fast Probabilistic Consensus with Weighted Votes
Conference Proceeding
Müller, S., Penzkofer, A., Ku´smierz, B., Camargo, D., & Buchanan, W. J. (2020)
Fast Probabilistic Consensus with Weighted Votes. In Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2. , (360-378). https://doi.org/10.1007/978-3-030-63089-8_24
The fast probabilistic consensus (FPC) is a voting consensus protocol that is robust and efficient in Byzantine infrastructure. We propose an adaption of the FPC to a setting ...
Multi-miner's Cooperative Evolution Method of Bitcoin Pool Based on Temporal Difference Leaning Method
Conference Proceeding
Ou, W., Deng, M., Luo, E., Shi, W., Tan, Z., & Bhuiyan, M. (2019)
Multi-miner's Cooperative Evolution Method of Bitcoin Pool Based on Temporal Difference Leaning Method. In 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). , (687-693). https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00131
Proof of Work (PoW) is used to provide a consensus mechanism for Bitcoin. In this mechanism, the process of generating a new block in the blockchain is referred to as mining. ...