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.

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 Novel Time-Slotted LoRa MAC Protocol for Scalable IoT Networks (2022)
Journal Article
Alahmadi, H., Bouabdallah, F., & Al-Dubai, A. (2022). A Novel Time-Slotted LoRa MAC Protocol for Scalable IoT Networks. Future Generation Computer Systems, 134, 287-302. https://doi.org/10.1016/j.future.2022.04.003

Long Range (LoRa) networks provide long range, cost-effective and energy-efficient communications by utilising the free unlicensed ISM band, which makes them appealing for Internet of Things (IoT) applications. However, in high density networks, reli... Read More about A Novel Time-Slotted LoRa MAC Protocol for Scalable IoT Networks.

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.

A Novel Nomad Migration-Inspired Algorithm for Global Optimization (2022)
Journal Article
Lin, N., Fu, L., Zhao, L., Hawbani, A., Tan, Z., Al-Dubai, A., & Min, G. (2022). A Novel Nomad Migration-Inspired Algorithm for Global Optimization. Computers and Electrical Engineering, 100, https://doi.org/10.1016/j.compeleceng.2022.107862

Nature-inspired computing (NIC) has been widely studied for many optimization scenarios. However, miscellaneous solution space of real-world problem causes it is challenging to guarantee the global optimum. Besides, cumbersome structure and complex p... Read More about A Novel Nomad Migration-Inspired Algorithm for Global Optimization.

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.

SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks (2022)
Journal Article
Farooq, M., Wang, X., Hawbani, A., Zhao, L., Al-Dubai, A., & Busaileh, O. (in press). SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks. IEEE Transactions on Mobile Computing, https://doi.org/10.1109/TMC.2022.3158695

In wireless sensor networks (WSNs), it is inappropriate to use conventional unicast routing due to the broadcast storm problem and spatial diversity of communication links. Opportunistic Routing (OR) benefits the low duty-cycled WSNs by prioritizing... Read More about SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks.

Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems (2022)
Conference Proceeding
Grierson, S., Thomson, C., Papadopoulos, P., & Buchanan, B. (2022). Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems. In 2021 14th International Conference on Security of Information and Networks (SIN)https://doi.org/10.1109/sin54109.2021.9699157

Intrusion detection systems are integral to the security of networked systems for detecting malicious or anomalous network traffic. As traditional approaches are becoming less effective, machine learning and deep learning-based intrusion detection sy... Read More about Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems.

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.

An RPL based Optimal Sensors placement in Pipeline Monitoring WSNs (2021)
Conference Proceeding
Wadhaj, I., Thomson, C., & Ghaleb, B. (2021). An RPL based Optimal Sensors placement in Pipeline Monitoring WSNs. In Proceedings of International Conference on Emerging Technologies and Intelligent Systems: ICETIS 2021 (533-546). https://doi.org/10.1007/978-3-030-85990-9_43

Compared to an ordinary sensor network, Linear Sensor Networks (LSNs) has many applications in a number of areas such as surveillance and monitoring of international boundaries for illegal crossing, river environment monitoring and roads monitoring e... Read More about An RPL based Optimal Sensors placement in Pipeline Monitoring WSNs.

Wireless Sensor Networks (WSN) in Oil and Gas Industry: Applications, Requirements and Existing Solutions (2021)
Conference Proceeding
Wadhaj, I., Ghaleb, B., & Thomson, C. (2021). Wireless Sensor Networks (WSN) in Oil and Gas Industry: Applications, Requirements and Existing Solutions. In Proceedings of International Conference on Emerging Technologies and Intelligent Systems ICETIS 2021: Volume 2 (547-563). https://doi.org/10.1007/978-3-030-85990-9_44

Effective measurement and monitoring of certain parameters (temperature, pressure, flow etc.) is crucial for the safety and optimization of processes in the Oil and Gas Industry. Wired sensors have been extensively utilized for this purpose but are c... Read More about Wireless Sensor Networks (WSN) in Oil and Gas Industry: Applications, Requirements and Existing Solutions.

A VMD and LSTM based hybrid model of load forecasting for power grid security (2021)
Journal Article
Lv, L., Wu, Z., Zhang, J., Tan, Z., Zhang, L., & Tian, Z. (in press). A VMD and LSTM based hybrid model of load forecasting for power grid security. IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/tii.2021.3130237

As the basis for the static security of the power grid, power load forecasting directly affects the safety of grid operation, the rationality of grid planning, and the economy of supply-demand balance. However, various factors lead to drastic changes... Read More about A VMD and LSTM based hybrid model of load forecasting for power grid security.

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.

A Novel Prediction-Based Temporal Graph Routing Algorithm for Software-Defined Vehicular Networks (2021)
Journal Article
Zhao, L., Li, Z., Al-Dubai, A., Min, G., Li, J., Hawbani, A., & Zomaya, A. (in press). A Novel Prediction-Based Temporal Graph Routing Algorithm for Software-Defined Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2021.3123276

Temporal information is critical for routing computation in the vehicular network. It plays a vital role in the vehicular network. Till now, most existing routing schemes in vehicular networks consider the networks as a sequence of static graphs. We... Read More about A Novel Prediction-Based Temporal Graph Routing Algorithm for Software-Defined Vehicular Networks.