Outputs (414)

SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application. (2019)
Journal Article
Jan, M. A., Zhang, W., Usman, M., Tan, Z., Khan, F., & Luo, E. (2019). SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application. Journal of Network and Computer Applications, 137, 1-10. https://doi.org/10.1016/j.jnca.2019.02.023

The Internet of Things (IoT) has the potential to transform communities around the globe into smart cities. The massive deployment of sensor-embedded devices in the smart cities generates voluminous amounts of data that need to be stored and processe... Read More about SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application..

Top 10 Blockchain Predictions for the (Near) Future of Healthcare (2019)
Journal Article
Halamka, J. D., Alterovitz, G., Buchanan, W. J., Cenaj, T., Clauson, K. A., Dhillon, V., Hudson, F. D., Mokhtari, M. (., Porto, D. A., Rutschman, A., & Ngo, A. L. (2019). Top 10 Blockchain Predictions for the (Near) Future of Healthcare. Blockchain in Healthcare Today, 2, https://doi.org/10.30953/bhty.v2.106

To review blockchain lessons learned in 2018 and near-future predictions for blockchain in healthcare, Blockchain in Healthcare Today (BHTY) asked the world's blockchain in healthcare experts to share their insights. Here, our internationally-renowne... Read More about Top 10 Blockchain Predictions for the (Near) Future of Healthcare.

ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System (2019)
Journal Article
Javaid, S., Afzal, H., Babar, M., Arif, F., Tan, Z., & Jan, M. A. (2019). ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System. IEEE Access, 1-1. https://doi.org/10.1109/access.2019.2897095

Putting trust in the world of the Internet of Things, where served and serving entities are often unknown, is very hard especially when personal and business information is often being exchanged for providing and consuming services. Moreover, the iss... Read More about ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System.

Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier (2019)
Presentation / Conference Contribution
Hall, A. J., Pitropakis, N., Buchanan, W. J., & Moradpoor, N. (2018, December). Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. Presented at International Workshop on Big Data Analytics for Cyber Threat Hunting, Seattle, WA, USA

Insider threats continue to present a major challenge for the information security community. Despite constant research taking place in this area; a substantial gap still exists between the requirements of this community and the solutions that are cu... Read More about Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier.

Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns (2018)
Presentation / Conference Contribution
Mcneill, M., Lawson, A., Raeside, R., & Peisl, T. (2018, July). Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns. Presented at 32nd International BCS Human Computer Interaction Conference (HCI 2018), Belfast

Creating a good crowdfunding campaign is difficult. By understanding why people contribute to crowdfunding campaigns we can make campaigns better and raise more money. Crowdfunding websites allow entrepreneurs to make a pitch, which is watched by pot... Read More about Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns.

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.

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.

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.

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.

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.

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.

Method for identification of digital content (2018)
Patent
Buchanan, B., Lo, O., Penrose, P., Ramsay, B., & Macfarlane, R. (2018). Method for identification of digital content. World Intellectual Property Organization

Many areas oi investigation require searching through data that may be oi interest. One example oi data that may be involved in an investigation is copyrighted material that may be suspected of having been obtained or reproduced illegally by a third... Read More about Method for identification of digital content.

2-Dimensional Outline Shape Representation for Generative Design with Evolutionary Algorithms (2018)
Presentation / Conference Contribution
Lapok, P., Lawson, A., & Paechter, B. (2018, September). 2-Dimensional Outline Shape Representation for Generative Design with Evolutionary Algorithms. Presented at EngOpt 2018 International Conference on Engineering Optimization, Lisboa, Portugal

In this paper, we investigate the ability of genetic representation methods to describe two-dimensional outline shapes, in order to use them in a generative design system. A specific area of mechanical design focuses on planar mechanisms. These are a... Read More about 2-Dimensional Outline Shape Representation for Generative Design with Evolutionary Algorithms.

Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things (2018)
Presentation / Conference Contribution
Semedo, F., Moradpoor, N., & Rafiq, M. (2018, September). Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things. Presented at 11th International Conference On Security Of Information and Networks, Cardiff, United Kingdom

The Internet of Things (IoT) can be described as the ever-growing global network of objects with built-in sensing and communication interfaces such as sensors, Global Positioning devices (GPS) and Local Area Network (LAN) interfaces. Security is by f... Read More about Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things.

Privacy Parameter Variation using RAPPOR on a Malware Dataset (2018)
Presentation / Conference Contribution
Aaby, P., Mata De Acuña, J. J., Macfarlane, R., & Buchanan, W. J. (2018, August). Privacy Parameter Variation using RAPPOR on a Malware Dataset. Presented at 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), New York, NY, USA

Stricter data protection regulations and the poor application of privacy protection techniques have resulted in a requirement for data-driven companies to adopt new methods of analysing sensitive user data. The RAPPOR (Randomized Aggregatable Privacy... Read More about Privacy Parameter Variation using RAPPOR on a Malware Dataset.