Outputs (63)

System and method for management of confidential data (2018)
Patent
Buchanan, B., Lo, O., Macfarlane, R., Penrose, P., & Ramsay, B. (2018). System and method for management of confidential data. GB2561176A

This application is for a method of data management to identify confidential digital content on a database by first receiving a management request 302 from a system 304 to carry out data management operations. These include the identification of data... Read More about System and method for management of confidential data.

Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System (2018)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2018, August). Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System. Presented at The 4th International Conference on Technology Trends, Babahoyo, Ecuador

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, such as programmable logic controllers (PLC), networking devices, and actua... Read More about Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System.

Design of Multi-View Based Email Classification for IoT Systems via Semi-Supervised Learning (2018)
Journal Article
Li, W., Meng, W., Tan, Z., & Xiang, Y. (2019). Design of Multi-View Based Email Classification for IoT Systems via Semi-Supervised Learning. Journal of Network and Computer Applications, 128, 56-63. https://doi.org/10.1016/j.jnca.2018.12.002

Suspicious emails are one big threat for Internet of Things (IoT) security, which aim to induce users to click and then redirect them to a phishing webpage. To protect IoT systems, email classification is an essential mechanism to classify spam and l... Read More about Design of Multi-View Based Email Classification for IoT Systems via Semi-Supervised Learning.

NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification (2018)
Journal Article
Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (2022). NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, 28(3), 1251-1261. https://doi.org/10.1007/s11276-018-01909-0

Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. With the ever growing social inetworking and online marketing sites, the reviews obtained... Read More about NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification.

A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system (2018)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018, June). A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. Presented at Cyber Security 2018: 2018 International Conference on Cyber Security and Protection of Digital Services, Glasgow, United Kingdom

Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development over time have improved their components including operating system platforms... Read More about A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system.

Sub-file Hashing Strategies for Fast Contraband Detection (2018)
Presentation / Conference Contribution
McKeown, S., Russell, G., & Leimich, P. (2018, June). Sub-file Hashing Strategies for Fast Contraband Detection. Presented at IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018), Glasgow, Scotland

Traditional digital forensics processes do not scale well with the huge quantities of data present in a modern investigation, resulting in large investigative backlogs for many law enforcement agencies. Data reduction techniques are required for fast... Read More about Sub-file Hashing Strategies for Fast Contraband Detection.

Reducing the Impact of Network Bottlenecks on Remote Contraband Detection (2018)
Presentation / Conference Contribution
McKeown, S., Russell, G., & Leimich, P. (2018, June). Reducing the Impact of Network Bottlenecks on Remote Contraband Detection. Presented at IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018), Glasgow, UK

Cloud based storage is increasing in popularity, with
large volumes of data being stored remotely. Digital forensics
investigators examining such systems remotely are limited by
bandwidth constraints when accessing this kind of data using
traditi... Read More about Reducing the Impact of Network Bottlenecks on Remote Contraband Detection.

Copy-move forgery detection using combined features and transitive matching (2018)
Journal Article
Lin, C., Lu, W., Huang, X., Liu, K., Sun, W., Lin, H., & Tan, Z. (2019). Copy-move forgery detection using combined features and transitive matching. Multimedia Tools and Applications, 78(21), 30081-30096. https://doi.org/10.1007/s11042-018-6922-4

Recently, the research of Internet of Things (IoT) and Multimedia Big Data (MBD) has been growing tremendously. Both IoT and MBD have a lot of multimedia data, which can be tampered easily. Therefore, the research of multimedia forensics is necessary... Read More about Copy-move forgery detection using combined features and transitive matching.

Mitigating Disaster using Secure Threshold-Cloud Architecture (2018)
Presentation / Conference Contribution
Ukwandu, E., Buchanan, W. J., & Russell, G. (2018). Mitigating Disaster using Secure Threshold-Cloud Architecture. Current Trends in Computer Sciences & Applications, 1(2),

There are many risks in moving data into public cloud environments, along with an increasing threat around large-scale data leakage during cloud outages. This work aims to apply secret sharing methods as used in cryptography to create shares of crypt... Read More about Mitigating Disaster using Secure Threshold-Cloud Architecture.

A caching and spatial K-anonymity driven privacy enhancement scheme in continuous location-based services (2018)
Journal Article
Zhang, S., Li, X., Tan, Z., Peng, T., & Wang, G. (2019). A caching and spatial K-anonymity driven privacy enhancement scheme in continuous location-based services. Future Generation Computer Systems, 94, 40-50. https://doi.org/10.1016/j.future.2018.10.053

With the rapid pervasion of location-based services (LBSs), protection of location privacy has become a significant concern. In most continuous LBSs' privacy-preserving solutions, users need to transmit the location query data to an untrusted locatio... Read More about A caching and spatial K-anonymity driven privacy enhancement scheme in continuous location-based services.

The Challenges of Investigating Cryptocurrencies and Blockchain Related Crime (2018)
Journal Article
Dyson, S., Buchanan, W., & Bell, L. (2018). The Challenges of Investigating Cryptocurrencies and Blockchain Related Crime. The Journal of the British Blockchain Association, 1(2), 1-6. https://doi.org/10.31585/jbba-1-2-%288%292018

We increasingly live in a world where there is a balance between the rights to privacy and the requirements for consent, and the rights of society to protect itself. Within this world, there is an ever-increasing requirement to protect the identities... Read More about The Challenges of Investigating Cryptocurrencies and Blockchain Related Crime.

Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates (2018)
Presentation / Conference Contribution
Rooney, L., Chute, C., Buchanan, W. J., Smales, A., & Hepburn, L. (2018, November). Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates. Presented at Global Health 2018, Athens, Greece

Long-term conditions in Scotland account for 80% of all GP consultations; they also account for 60% of all deaths in Scotland. Asthma and Chronic Obstructive Pulmonary Disease (COPD) are common long-term respiratory diseases [1]. Asthma is a heteroge... Read More about Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates.

Impact of cyberattacks on stock performance: a comparative study (2018)
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. https://doi.org/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 in two ways: cross-section and industry level. We employ statistical tests... Read More about Impact of cyberattacks on stock performance: a comparative study.

Cross-Layer Multipath Multichannel MAC protocol for MANETs (2018)
Presentation / Conference Contribution
Mirza, N., Taylor, H., Abdelshafy, M., King, P., Romdhani, I., & Alghamdi, A. (2018, June). Cross-Layer Multipath Multichannel MAC protocol for MANETs. Presented at The International Symposium on Networks, Computers and Communications (ISNCC), Rome, Italy

Utilising multiple disjoint paths in multiple channels can improve network performance by enabling a node to reroute data along discovered paths seamlessly when link failure is detected. However, depending on a stale route to recover from a broken li... Read More about Cross-Layer Multipath Multichannel MAC protocol for MANETs.

MOSAIC: Simultaneous Localization and Environment Mapping using mmWave without a-priori Knowledge (2018)
Journal Article
Yassin, A., Nasser, Y., Al-Dubai, A., & Awad, M. (2018). MOSAIC: Simultaneous Localization and Environment Mapping using mmWave without a-priori Knowledge. IEEE Access, 6, 68932-68947. https://doi.org/10.1109/access.2018.2879436

Simultaneous Localization and environment mapping (SLAM) is the core to robotic mapping and navigation as it constructs simultaneously the unknown environment and localizes the agent within. However, in millimeter wave (mmWave) research, SLAM is stil... Read More about MOSAIC: Simultaneous Localization and Environment Mapping using mmWave without a-priori Knowledge.

Fingerprinting JPEGs With Optimised Huffman Tables (2018)
Journal Article
McKeown, S., Russell, G., & Leimich, P. (2018). Fingerprinting JPEGs With Optimised Huffman Tables. Journal of Digital Forensics, Security and Law, 13(2), Article 7. https://doi.org/10.15394/jdfsl.2018.1451

A common task in digital forensics investigations is to identify known contraband images. This is typically achieved by calculating a cryptographic digest, using hashing algorithms such as SHA256, for each image on a given medium, and comparing indiv... Read More about Fingerprinting JPEGs With Optimised Huffman Tables.

A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors (2018)
Presentation / Conference Contribution
Kumar Mishra, A., Kumar Tripathy, A., Obaidat, M. S., Tan, Z., Prasad, M., Sadoun, B., & Puthal, D. (2018, July). A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors. Presented at The 15th International Joint Conference on e-Business, Porto, Portugal

Due to lack of an efficient monitoring system to periodically record environmental parameters for food grain storage, a huge loss of food grains in storage is reported every year in many developing countries, especially south-Asian countries. Althoug... Read More about A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors.

Addressing the DAO Insider Attack in RPL’s Internet of Things Networks (2018)
Journal Article
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Qasem, M., Romdhani, I., & Mackenzie, L. (2019). Addressing the DAO Insider Attack in RPL’s Internet of Things Networks. IEEE Communications Letters, 23(1), 68-71. https://doi.org/10.1109/LCOMM.2018.2878151

In RPL routing protocol, the DAO (Destination Advertisement Object) control messages are announced by the child nodes to their parents to build downward routes. A malicious insider node can exploit this feature to send fake DAOs to its parents period... Read More about Addressing the DAO Insider Attack in RPL’s Internet of Things Networks.

Interference graphs to monitor and control schedules in low-power WPAN (2018)
Journal Article
van der Lee, T., Liotta, A., & Exarchakos, G. (2019). Interference graphs to monitor and control schedules in low-power WPAN. Future Generation Computer Systems, 93, 111-120. https://doi.org/10.1016/j.future.2018.10.014

Highlights
• This study presents the complete and slotted interference graph model.
• The service uses the complete interference graph to evaluate the network.
• Slotted interference graphs are used to reschedule problematic connections.
• Rea... Read More about Interference graphs to monitor and control schedules in low-power WPAN.

Requirements for 5G based telemetric cardiac monitoring (2018)
Presentation / Conference Contribution
Thuemmler, C., Hindricks, G., Rolffs, C., Buchanan, W., & Bollmann, A. (2018, October). Requirements for 5G based telemetric cardiac monitoring. Presented at 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Limassol, Cyprus

Several white papers have been published on general requirements for 5G in the health vertical. As 5G research and implementation continue more detailed real world information for application research are needed. This paper is focusing on the require... Read More about Requirements for 5G based telemetric cardiac monitoring.