Outputs (2072)

Sensitivity-Aware Configurations for High Packet Generation Rate LoRa Networks (2022)
Presentation / Conference Contribution
Alahmadi, H., Bouabdallah, F., Ghaleb, B., & Al-Dubai, A. (2021, December). Sensitivity-Aware Configurations for High Packet Generation Rate LoRa Networks. Presented at 20th International Conference on Computer and Information Technology (CIT-2021), London

In this paper, we introduce Sensitivity-Aware LoRa Configuration (SAL), a new algorithm for efficient autonomous and distributed selection of LoRa physical layer transmission parameters. The aim is to address the limitations of the currently adopted... Read More about Sensitivity-Aware Configurations for High Packet Generation Rate LoRa Networks.

A sequential explanatory methodology for the study of young people’s career information literacy and career information behaviours (2022)
Presentation / Conference Contribution
Milosheva, M., Hall, H., Robertson, P., & Cruickshank, P. (2022, February). A sequential explanatory methodology for the study of young people’s career information literacy and career information behaviours. Poster presented at iConference 2022, Online

Poster presented at iConference 2022, Online, 28 Feb - 4 Mar 2022.

A sequential explanatory methodology for the study of young people's career information literacy and career information behaviours (2022)
Presentation / Conference Contribution
Milosheva, M., Hall, H., Robertson, P., & Cruickshank, P. (2022). A sequential explanatory methodology for the study of young people's career information literacy and career information behaviours. In iConference 2022 Posters

In the information-rich post-pandemic employment environment, young people's career success is predicated on the extent to which they can apply career information to their career decision-making and career development learning processes. Taking heed... Read More about A sequential explanatory methodology for the study of young people's career information literacy and career information behaviours.

Internet of Things: Concept, Implementation and Challenges (2022)
Presentation / Conference Contribution
Gunathilake, N. A., Al-Dubai, A., & Buchanan, W. J. (2020, December). Internet of Things: Concept, Implementation and Challenges. Presented at International Conference on IoT and its Applications (ICIA) 2020, Jamshedpur, India

Through the technical advancements over five generations, today's digital communication has become much smarter, more intelligent and punctual. This causes a massive amount of continuous data collection in real-time whose analytics are later used to... Read More about Internet of Things: Concept, Implementation and Challenges.

Detecting Alzheimer’s Disease Using Machine Learning Methods (2022)
Presentation / Conference Contribution
Dashtipour, K., Taylor, W., Ansari, S., Zahid, A., Gogate, M., Ahmad, J., Assaleh, K., Arshad, K., Ali Imran, M., & Abbasi, Q. (2021, October). Detecting Alzheimer’s Disease Using Machine Learning Methods. Presented at 16th EAI International Conference, BODYNETS 2021, Online

As the world is experiencing population growth, the portion of the older people, aged 65 and above, is also growing at a faster rate. As a result, the dementia with Alzheimer’s disease is expected to increase rapidly in the next few years. Currently,... Read More about Detecting Alzheimer’s Disease Using Machine Learning Methods.

Comparing the Performance of Different Classifiers for Posture Detection (2022)
Presentation / Conference Contribution
Suresh Kumar, S., Dashtipour, K., Gogate, M., Ahmad, J., Assaleh, K., Arshad, K., Imran, M. A., Abbasi, Q., & Ahmad, W. (2021, October). Comparing the Performance of Different Classifiers for Posture Detection. Presented at 16th EAI International Conference, BODYNETS 2021, Online

Human Posture Classification (HPC) is used in many fields such as human computer interfacing, security surveillance, rehabilitation, remote monitoring, and so on. This paper compares the performance of different classifiers in the detection of 3 post... Read More about Comparing the Performance of Different Classifiers for Posture Detection.

Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems (2022)
Presentation / Conference Contribution
Grierson, S., Thomson, C., Papadopoulos, P., & Buchanan, B. (2021, December). Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems. Presented at 2021 14th International Conference on Security of Information and Networks (SIN), Edinburgh, United Kingdom

Intrusion detection systems are integral to the security of networked systems for detecting malicious or anomalous network traffic. As traditional approaches are becoming less effective, machine learning and deep learning-based intrusion detection sy... Read More about Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems.

PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching (2022)
Presentation / Conference Contribution
Abramson, W., Buchanan, W. J., Sayeed, S., Pitropakis, N., & Lo, O. (2021, December). PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching. Presented at 14th International Conference on Security of Information and Networks, Edinburgh [Online]

The spread of COVID-19 has highlighted the need for a robust contact tracing infrastructure that enables infected individuals to have their contacts traced, and followed up with a test. The key entities involved within a contact tracing infrastructur... Read More about PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching.

Blockchain-based Platform for Secure Sharing and Validation of Vaccination Certificates (2022)
Presentation / Conference Contribution
Abubakar, M., McCarron, P., Jaroucheh, Z., Al Dubai, A., & Buchanan, B. (2021, December). Blockchain-based Platform for Secure Sharing and Validation of Vaccination Certificates. Presented at 2021 14th International Conference on Security of Information and Networks (SIN), Edinburgh

The COVID-19 pandemic has recently emerged as a worldwide health emergency that necessitates coordinated international measures. To contain the virus's spread, governments and health organisations raced to develop vaccines that would lower Covid-19 m... Read More about Blockchain-based Platform for Secure Sharing and Validation of Vaccination Certificates.

Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers (2022)
Presentation / Conference Contribution
Ali, H., Papadopoulos, P., Ahmad, J., Pit, N., Jaroucheh, Z., & Buchanan, W. J. (2021, December). Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers. Presented at IEEE SINCONF: 14th International Conference on Security of Information and Networks, Edinburgh

Threat information sharing is considered as one of the proactive defensive approaches for enhancing the overall security of trusted partners. Trusted partner organizations can provide access to past and current cybersecurity threats for reducing the... Read More about Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers.