Outputs (13)

Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach (2020)
Presentation / Conference Contribution
Christou, O., Pitropakis, N., Papadopoulos, P., Mckeown, S., & Buchanan, W. J. (2020, February). Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach. Presented at ICISSP 2020, Valletta, Malta

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 situational awareness, it can still be hard for users to continually be awa... Read More about Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach.

Privacy-preserving Surveillance Methods using Homomorphic Encryption (2020)
Presentation / Conference Contribution
Bowditch, W., Abramson, W., Buchanan, W. J., Pitropakis, N., & Hall, A. J. (2020, February). Privacy-preserving Surveillance Methods using Homomorphic Encryption. Presented at 6th International Conference on Information Security Systems and Privacy (ICISSP), Valletta, Malta

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 encryption to protect all states of the data: in-transit, at-rest, and in-memory.... Read More about Privacy-preserving Surveillance Methods using Homomorphic Encryption.

PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism (2020)
Presentation / Conference Contribution
Abubakar, M. A., Jaroucheh, Z., Al-Dubai, A., & Buchanan, B. (2020, November). PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism. Presented at 4th International Conference on Vision, Image and Signal Processing, Newcastle, UK

The original consensus algorithm - Proof of Work (PoW) has been widely utilized in the blockchain systems and is been adopted by many cryptocurrencies, such as Bitcoin and Ethereum, among many others. Nevertheless, the concept has received criticisms... Read More about PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism.

PoNW: A Secure and Scalable Proof-of-Notarized-Work Based Consensus Mechanism (2020)
Presentation / Conference Contribution
Abubakar, M., Jaroucheh, Z., Al-Dubai, A., & Buchanan, W. (2020, December). PoNW: A Secure and Scalable Proof-of-Notarized-Work Based Consensus Mechanism. Presented at ICVISP 2020: The 2020 4th International Conference on Vision, Image and Signal Processing, Bangkok

The original consensus algorithm-Proof of Work (PoW) has been widely utilized in the blockchain systems and is been adopted by many cryptocurrencies, such as Bitcoin and Ethereum, among many others. Nevertheless, the concept has received criticisms o... Read More about PoNW: A Secure and Scalable Proof-of-Notarized-Work Based Consensus Mechanism.

Recent Advances and Trends in Lightweight Cryptography for IoT Security (2020)
Presentation / Conference Contribution
Gunathilake, N. A., Al-Dubai, A., & Buchanan, W. J. (2020, November). Recent Advances and Trends in Lightweight Cryptography for IoT Security. Presented at 2020 16th International Conference on Network and Service Management (CNSM), Izmir, Turkey

Lightweight cryptography is a novel diversion from conventional cryptography to minimise its high level of resource requirements, thus it would impeccably fit in the internet-of-things (IoT) environment. The IoT platform is constrained in terms of ph... Read More about Recent Advances and Trends in Lightweight Cryptography for IoT Security.

Towards Continuous User Authentication Using Personalised Touch-Based Behaviour (2020)
Presentation / Conference Contribution
Aaby, P., Giuffrida, M. V., Buchanan, W. J., & Tan, Z. (2020, August). Towards Continuous User Authentication Using Personalised Touch-Based Behaviour. Presented at CyberSciTech 2020, Calgary, Canada

In this paper, we present an empirical evaluation of 30 features used in touch-based continuous authentication. It is essential to identify the most significant features for each user, as behaviour is different amongst humans. Thus, a fixed feature s... Read More about Towards Continuous User Authentication Using Personalised Touch-Based Behaviour.

Fast Probabilistic Consensus with Weighted Votes (2020)
Presentation / Conference Contribution
Müller, S., Penzkofer, A., Ku´smierz, B., Camargo, D., & Buchanan, W. J. (2020, November). Fast Probabilistic Consensus with Weighted Votes. Presented at FTC 2020 - Future Technologies Conference 2020, Vancouver, Canada

The fast probabilistic consensus (FPC) is a voting consensus protocol that is robust and efficient in Byzantine infrastructure. We propose an adaption of the FPC to a setting where the voting power is proportional to the nodes reputations. We model t... Read More about Fast Probabilistic Consensus with Weighted Votes.

A Distributed Trust Framework for Privacy-Preserving Machine Learning (2020)
Presentation / Conference Contribution
Abramson, W., Hall, A. J., Papadopoulos, P., Pitropakis, N., & Buchanan, W. J. (2020, September). A Distributed Trust Framework for Privacy-Preserving Machine Learning. Presented at The 17th International Conference on Trust, Privacy and Security in Digital Business - TrustBus2020, Bratislava, Slovakia

When training a machine learning model, it is standard procedure for the researcher to have full knowledge of both the data and model. However, this engenders a lack of trust between data owners and data scientists. Data owners are justifiably reluct... Read More about A Distributed Trust Framework for Privacy-Preserving Machine Learning.

Trust-based Ecosystem to Combat Fake News (2020)
Presentation / Conference Contribution
Jaroucheh, Z., Alissa, M., & Buchanan, W. J. (2020, May). Trust-based Ecosystem to Combat Fake News. Presented at 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Toronto, ON, Canada

The growing spread of misinformation and dis-information has grave political, social, ethical, and privacy implications for society. Therefore, there is an ethical need to combat the flow of fake news. This paper attempts to resolves some of the aspe... Read More about Trust-based Ecosystem to Combat Fake News.

TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies (2020)
Presentation / Conference Contribution
Jaroucheh, Z., Alissa, M., Buchanan, W. J., & Liu, X. (2020). TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC 2020) (1215-1220)

The growing trend of sharing news/contents, through social media platforms and the World Wide Web has been seen to impact our perception of the truth, altering our views about politics, economics, relationships, needs and wants. This is because of th... Read More about TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies.