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A novel flow-vector generation approach for malicious traffic detection (2022)
Journal Article
Hou, J., Liu, F., Lu, H., Tan, Z., Zhuang, X., & Tian, Z. (in press). A novel flow-vector generation approach for malicious traffic detection. Journal of Parallel and Distributed Computing, https://doi.org/10.1016/j.jpdc.2022.06.004

Malicious traffic detection is one of the most important parts of cyber security. The approaches of using the flow as the detection object are recognized as effective. Benefiting from the development of deep learning techniques, raw traffic can be di... Read More about A novel flow-vector generation approach for malicious traffic detection.

Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review (2022)
Journal Article
Gulzar Ahmad, S., Iqbal, T., Javaid, A., Ullah Munir, E., Kirn, N., Jan, S. U., & Ramzan, N. (2022). Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review. Sensors, 22(12), Article 4362. https://doi.org/10.3390/s22124362

Currently, information and communication technology (ICT) allows health institutions to reach disadvantaged groups in rural areas using sensing and artificial intelligence (AI) technologies. Applications of these technologies are even more essential... Read More about Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review.

A comprehensive survey of authentication methods in Internet-of-Things and its conjunctions (2022)
Journal Article
Kumar, A., Saha, R., Conti, M., Kumar, G., Buchanan, W. J., & Kim, T. H. (2022). A comprehensive survey of authentication methods in Internet-of-Things and its conjunctions. Journal of Network and Computer Applications, 204, Article 103414. https://doi.org/10.1016/j.jnca.2022.103414

Internet of Thing (IoT) is one of the most influential technologies in the present time. People, processes, and things are connected with the Internet through IoT. With the increasing demands of user applications, the number of connections is also in... Read More about A comprehensive survey of authentication methods in Internet-of-Things and its conjunctions.

A Study of Online Safety and Digital Literacy of Academic Researchers Working from Home during the COVID-19 Pandemic (2022)
Presentation / Conference
Haynes, D., & Salzano, R. (2022, April). A Study of Online Safety and Digital Literacy of Academic Researchers Working from Home during the COVID-19 Pandemic. Paper presented at ASIS&T Global 24-hour Conference, 2022, Online

Universities in the UK responded to the COVID-19 pandemic by moving teaching to an online environment and requiring staff to work from home, as far as possible. Researchers face particular challenges of security and privacy where their work involves... Read More about A Study of Online Safety and Digital Literacy of Academic Researchers Working from Home during the COVID-19 Pandemic.

A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map (2022)
Journal Article
Alharbi, A. R., Ahmad, J., Arshad, Shaukat, S., Masood, F., Ghadi, Y. Y., …Buchanan, W. J. (2022). A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map. Complexity, 2022, Article 7047282. https://doi.org/10.1155/2022/7047282

With the increasing volume of data transmission through insecure communication channels, big data security has become one of the important concerns in the cybersecurity domain. To address these concerns and keep data safe, a robust privacy-preserving... Read More about A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map.

Toward Machine Intelligence that Learns to Fingerprint Polymorphic Worms in IoT (2022)
Journal Article
Wang, F., Yang, S., Wang, C., Li, Q., Babaagba, K., & Tan, Z. (in press). Toward Machine Intelligence that Learns to Fingerprint Polymorphic Worms in IoT. International Journal of Intelligent Systems, https://doi.org/10.1002/int.22871

Internet of Things (IoT) is fast growing. Non-PC devices under the umbrella of IoT have been increasingly applied in various fields and will soon account for a significant share of total Internet traffic. However, the security and privacy of IoT and... Read More about Toward Machine Intelligence that Learns to Fingerprint Polymorphic Worms in IoT.

GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture (2022)
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), 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 evolution of digital technologies has often created the necessity for the esta... Read More about GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture.

Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers (2022)
Conference Proceeding
Ali, H., Papadopoulos, P., Ahmad, J., Pit, N., Jaroucheh, Z., & Buchanan, W. J. (2022). Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers. In IEEE SINCONF: 14th International Conference on Security of Information and Networkshttps://doi.org/10.1109/SIN54109.2021.9699366

Threat information sharing is considered as one of the proactive defensive approaches for enhancing the overall security of trusted partners. Trusted partner organizations can provide access to past and current cybersecurity threats for reducing the... Read More about Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers.

PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching (2022)
Conference Proceeding
Abramson, W., Buchanan, W. J., Sayeed, S., Pitropakis, N., & Lo, O. (2022). PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching. In 14th International Conference on Security of Information and Networkshttps://doi.org/10.1109/SIN54109.2021.9699138

The spread of COVID-19 has highlighted the need for a robust contact tracing infrastructure that enables infected individuals to have their contacts traced, and followed up with a test. The key entities involved within a contact tracing infrastructur... Read More about PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching.

GLASS: Towards Secure and Decentralized eGovernance Services using IPFS (2022)
Conference Proceeding
Chrysoulas, C., Thomson, A., Pitropakis, N., Papadopoulos, P., Lo, O., Buchanan, W. J., …Tsolis, D. (2022). GLASS: Towards Secure and Decentralized eGovernance Services using IPFS. In Computer Security. ESORICS 2021 International Workshopshttps://doi.org/10.1007/978-3-030-95484-0_3

The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation, broadened the attack surface and made them a popular target for cyber attacks.... Read More about GLASS: Towards Secure and Decentralized eGovernance Services using IPFS.

A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports (2022)
Conference Proceeding
Barati, M., Buchanan, W. J., Lo, O., & Rana, O. (2022). A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports. In UCC '21: Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion. https://doi.org/10.1145/3492323.3495626

Digital vaccination passports are being proposed by various governments internationally. Trust, scalability and security are all key challenges in implementing an online vaccine passport. Initial approaches attempt to solve this problem by using cent... Read More about A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports.

Ransomware: Analysing the Impact on Windows Active Directory Domain Services (2022)
Journal Article
McDonald, G., Papadopoulos, P., Pitropakis, N., Ahmad, J., & Buchanan, W. J. (2022). Ransomware: Analysing the Impact on Windows Active Directory Domain Services. Sensors, 22(3), https://doi.org/10.3390/s22030953

Ransomware has become an increasingly popular type of malware across the past decade and continues to rise in popularity due to its high profitability. Organisations and enterprises have become prime targets for ransomware as they are more likely to... Read More about Ransomware: Analysing the Impact on Windows Active Directory Domain Services.

NapierOne: A modern mixed file data set alternative to Govdocs1 (2022)
Journal Article
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2022). NapierOne: A modern mixed file data set alternative to Govdocs1. Forensic Science International: Digital Investigation, 40, https://doi.org/10.1016/j.fsidi.2021.301330

It was found when reviewing the ransomware detection research literature that almost no proposal provided enough detail on how the test data set was created, or sufficient description of its actual content, to allow it to be recreated by other resear... Read More about NapierOne: A modern mixed file data set alternative to Govdocs1.

Exploring the Need For an Updated Mixed File Research Data Set (2022)
Conference Proceeding
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2022). Exploring the Need For an Updated Mixed File Research Data Set. In 2021 International Conference on Engineering and Emerging Technologies (ICEET)https://doi.org/10.1109/iceet53442.2021.9659618

Mixed file data sets are used in a variety of research areas, including Digital Forensics, Malware analysis and Ransomware detection. Researchers recently seem to either have to create their own custom data sets or well-known data sets are used, but... Read More about Exploring the Need For an Updated Mixed File Research Data Set.

Developing Visualisations to Enhance an Insider Threat Product: A Case Study (2021)
Conference Proceeding
Graham, M., Kukla, R., Mandrychenko, O., Hart, D., & Kennedy, J. (2021). Developing Visualisations to Enhance an Insider Threat Product: A Case Study. In 2021 IEEE Symposium on Visualization for Cyber Security (VizSec) (47-57). https://doi.org/10.1109/VizSec53666.2021.00011

This paper describes the process of developing data visualisations to enhance a commercial software platform for combating insider threat, whose existing UI, while perfectly functional, was limited in its ability to allow analysts to easily spot the... Read More about Developing Visualisations to Enhance an Insider Threat Product: A Case Study.

Blockchain-Based Authentication and Registration Mechanism for SIP-Based VoIP Systems (2021)
Conference Proceeding
Abubakar, M., Jaroucheh, Z., Al Dubai, A., & Buchanan, W. (2021). Blockchain-Based Authentication and Registration Mechanism for SIP-Based VoIP Systems. In 2021 5th Cyber Security in Networking Conference (CSNet)https://doi.org/10.1109/csnet52717.2021.9614646

The Session Initiation Protocol (SIP) is the principal signalling protocol in Voice over IP (VoIP) systems, responsible for initialising, terminating, and maintaining sessions amongst call parties. However, the problem with the SIP protocol is that i... Read More about Blockchain-Based Authentication and Registration Mechanism for SIP-Based VoIP Systems.

Developing Visualisations to Enhance an Insider Threat Product: A Case Study (2021)
Presentation / Conference
Graham, M. (2021, October). Developing Visualisations to Enhance an Insider Threat Product: A Case Study. Presented at 18th IEEE Symposium on Visualization for Cyber Security, New Orleans, USA [Online]

This paper describes the process of developing data visualisations to enhance a commercial software platform for combating insider threat, whose existing UI, while perfectly functional, was limited in its ability to allow analysts to easily spot the... Read More about Developing Visualisations to Enhance an Insider Threat Product: A Case Study.

Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure (2021)
Presentation / Conference
Young, E. H., Chrysoulas, C., Pitropakis, N., Papadopoulos, P., & Buchanan, W. J. (2021, October). Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure. Paper presented at International Conference on Data Analytics for Business and Industry (ICDABI) 2021 - (DATA'21), Online

Little or no research has been directed to analysis and researching forensic analysis of the Bitcoin mixing or 'tumbling' service themselves. This work is intended to examine effective tooling and methodology for recovering forensic artifacts from tw... Read More about Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure.

A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT (2021)
Journal Article
Almas Khan, M., Khan, M. A., Ullah Jan, S., Ahmad, J., Jamal, S. S., Shah, A. A., …Markakis, E. K. (2021). A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT. Sensors, 21(21), Article 7016. https://doi.org/10.3390/s21217016

A large number of smart devices in Internet of Things (IoT) environments communicate via different messaging protocols. Message Queuing Telemetry Transport (MQTT) is a widely used publish–subscribe-based protocol for the communication of sensor or ev... Read More about A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT.