Privacy-preserving Surveillance Methods using Homomorphic Encryption
Conference Proceeding
Bowditch, W., Abramson, W., Buchanan, W. J., Pitropakis, N., & Hall, A. J. (2020)
Privacy-preserving Surveillance Methods using Homomorphic Encryption. In ICISSP: Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (240-248). https://doi.org/10.5220/0008864902400248
Data analysis and machine learning methods often involve the processing of cleartext data, and where this could breach the rights to privacy. Increasingly, we must use encrypt...
Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach
Conference Proceeding
Christou, O., Pitropakis, N., Papadopoulos, P., Mckeown, S., & Buchanan, W. J. (2020)
Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach. In Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (289-298). https://doi.org/10.5220/0008902202890298
Phishing is considered to be one of the most prevalent cyber-attacks because of its immense flexibility and alarmingly high success rate. Even with adequate training and high ...
WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2019)
WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels. In Proceedings of 15th IEEE International Conference on Control & Automation (ICCA)https://doi.org/10.1109/ICCA.2019.8899564
Industrial Control Systems (ICS) have faced a growing number of threats over the past few years. Reliance on isolated controls networks or air-gapped computers is no longer a ...
Identifying Vulnerabilities Using Internet-wide Scanning Data
Conference Proceeding
O'Hare, J., Macfarlane, R., & Lo, O. (2019)
Identifying Vulnerabilities Using Internet-wide Scanning Data. In 2019 IEEE 12th International Conference on Global Security, Safety and Sustainability (ICGS3), (1-10). https://doi.org/10.1109/ICGS3.2019.8688018
Internet-wide scanning projects such as Shodan and Censys, scan the Internet and collect active reconnaissance results for online devices. Access to this information is provid...
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier
Conference Proceeding
Hall, A. J., Pitropakis, N., Buchanan, W. J., & Moradpoor, N. (2019)
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. In 2018 IEEE International Conference on Big Data (Big Data)https://doi.org/10.1109/BigData.2018.8621922
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 exis...
Sub-file Hashing Strategies for Fast Contraband Detection
Conference Proceeding
McKeown, S., Russell, G., & Leimich, P. (2018)
Sub-file Hashing Strategies for Fast Contraband Detection. In 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)https://doi.org/10.1109/CyberSecPODS.2018.8560680
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 man...
Reducing the Impact of Network Bottlenecks on Remote Contraband Detection
Conference Proceeding
McKeown, S., Russell, G., & Leimich, P. (2018)
Reducing the Impact of Network Bottlenecks on Remote Contraband Detection. In 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)https://doi.org/10.1109/CyberSecPODS.2018.8560671
Cloud based storage is increasing in popularity, with
large volumes of data being stored remotely. Digital forensics
investigators examining such systems remotely are limited ...
Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates
Conference Proceeding
Rooney, L., Chute, C., Buchanan, W. J., Smales, A., & Hepburn, L. (2018)
Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates. In Proceedings of ThinkMind - GLOBAL HEALTH 2018, The Seventh International Conference on Global Health Challenges
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...
Requirements for 5G based telemetric cardiac monitoring
Conference Proceeding
Thuemmler, C., Hindricks, G., Rolffs, C., Buchanan, W., & Bollmann, A. (2018)
Requirements for 5G based telemetric cardiac monitoring. In 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)https://doi.org/10.1109/WiMOB.2018.8589139
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...
Privacy Parameter Variation using RAPPOR on a Malware Dataset
Conference Proceeding
Aaby, P., Mata De Acuña, J. J., Macfarlane, R., & Buchanan, W. J. (2018)
Privacy Parameter Variation using RAPPOR on a Malware Dataset. In Proceedings of 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom-18), (8). https://doi.org/10.1109/TrustCom/BigDataSE.2018.00133
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...