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.

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.

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.

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.

SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data (2018)
Journal Article
Xiao, B., Wang, Z., Liu, Q., & Liu, X. (2018). SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data. Computers, Materials & Continua, 56(3), 365-379. https://doi.org/10.3970/cmc.2018.01830

In recent years, the rapid development of big data technology has also been favored by more and more scholars. Massive data storage and calculation problems have also been solved. At the same time, outlier detection problems in mass data have also co... Read More about SMK-means: An Improved Mini Batch K-means Algorithm Based on Mapreduce with Big Data.

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, November). Mitigating Disaster using Secure Threshold-Cloud Architecture

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.-A. (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.

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.

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.

Correlation Power Analysis on the PRESENT Block Cipher on an Embedded Device (2018)
Presentation / Conference Contribution
Lo, O., Buchanan, W. J., & Carson, D. (2018, August). Correlation Power Analysis on the PRESENT Block Cipher on an Embedded Device. Presented at ACM Proceedings of the 13th International Conference on Availability, Reliability and Security, Hamburg, Germany

Traditional cryptographic techniques have proven to work well on most modern computing devices but they are unsuitable for devices (e.g. IoT devices) where memory, power consumption or processing power is limited. Thus, there has been an increasing a... Read More about Correlation Power Analysis on the PRESENT Block Cipher on an Embedded Device.

GDPR and Cyber Security for Business Information Systems (2018)
Book
Gobeo, A., Fowler, C., & Buchanan, B. (2018). GDPR and Cyber Security for Business Information Systems. River Publishers

The General Data Protection Regulation is the latest, and one of the most stringent, regulations regarding Data Protection to be passed into law by the European Union. Fundamentally, it aims to protect the Rights and Freedoms of all the individuals i... Read More about GDPR and Cyber Security for Business Information Systems.

An Enhanced Cyber Attack Attribution Framework (2018)
Presentation / Conference Contribution
Pitropakis, N., Panaousis, E., Giannakoulias, A., Kalpakis, G., Rodriguez, R. D., & Sarigiannidis, P. (2018, September). An Enhanced Cyber Attack Attribution Framework. Presented at International Conference on Trust and Privacy in Digital Business TrustBus 2018, Regensburg, Germany

Advanced Persistent Threats (APTs) are considered as the threats that are the most challenging to detect and defend against. As APTs use sophisticated attack methods, cyber situational awareness and especially cyber attack attribution are necessary f... Read More about An Enhanced Cyber Attack Attribution Framework.

Experimental High Speed Data Encryption via SDM-CV-QKD Signaling for High-Capacity Access Network (2018)
Presentation / Conference Contribution
Asif, R., Haithem, M., & Buchanan, W. J. (2018, July). Experimental High Speed Data Encryption via SDM-CV-QKD Signaling for High-Capacity Access Network. Presented at Advanced Photonics 2018 (BGPP, IPR, NP, NOMA, Sensors, Networks, SPPCom, SOF)

We report a high capacity Quantum-to-the-Home (QTTH) network in a spatialdivision-multiplexing (SDM) network utilizing 7-core multicore fiber (MCF). Aggregate secure key rates of 33.6 Mbit/s over 9.8 km of fiber are the actual state-of-the-art.

Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures (2018)
Journal Article
Barrowclough, J. P., & Asif, R. (2018). Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures. Security and Communication Networks, 2018, 1-20. https://doi.org/10.1155/2018/1681908

The exponential rise of the cloud computing paradigm has led to the cybersecurity concerns, taking into account the fact that the resources are shared and mediated by a ‘hypervisor’ that may be attacked and user data can be compromised or hacked. In... Read More about Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures.