All Outputs (10)

Towards Building a Smart Water Management System (SWAMS) in Nigeria (2024)
Presentation / Conference Contribution
Bamgboye, O., Chrysoulas, C., Liu, X., Watt, T., Sodiya, A., Oyeleye, M., & Kalutharage, S. (2024, June). Towards Building a Smart Water Management System (SWAMS) in Nigeria. Presented at The 22nd IEEE Mediterranean Electrotechnical Conference, Porto, Portugal

The water management landscape in Nigeria struggles with formidable obstacles characterized by a lack of adequate infrastructure, an uneven distribution of resources, and insufficient access to clean water, particularly in rural areas. These challeng... Read More about Towards Building a Smart Water Management System (SWAMS) in Nigeria.

Neurosymbolic Learning in the XAI Framework for Enhanced Cyberattack Detection with Expert Knowledge Integration (2024)
Presentation / Conference Contribution
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2024, June). Neurosymbolic Learning in the XAI Framework for Enhanced Cyberattack Detection with Expert Knowledge Integration. Presented at The 39th International Conference on ICT Systems Security and Privacy Protection (SEC 2024), Edinburgh

The perpetual evolution of cyberattacks, especially in the realm of Internet of Things (IoT) networks, necessitates advanced, adaptive, and intelligent defence mechanisms. The integration of expert knowledge can drastically enhance the efficacy of Io... Read More about Neurosymbolic Learning in the XAI Framework for Enhanced Cyberattack Detection with Expert Knowledge Integration.

Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection (2024)
Presentation / Conference Contribution
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2023, September). Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection. Presented at The 4th International Workshop on Cyber-Physical Security for Critical Infrastructures Protection (CPS4CIP 2023) - in conjunction with ESORICS 2023, The Hague, Netherlands

Towards Improving Accessibility of Web Auditing with Google Lighthouse (2023)
Presentation / Conference Contribution
McGill, T., Bamgboye, O., Liu, X., & Kalutharage, C. S. (2023, June). Towards Improving Accessibility of Web Auditing with Google Lighthouse. Presented at The 47th IEEE Annual Conference on Computers, Software, and Applications (COMPSAC), Turin, Italy

Google Lighthouse is a tool made by Google for auditing web pages performance, accessibility, SEO, and best practices with the intention of improving the quality of the websites. This allows software developers to understand areas of improvement with... Read More about Towards Improving Accessibility of Web Auditing with Google Lighthouse.

Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation (2021)
Presentation / Conference Contribution
Bamgboye, O., Liu, X., Cruickshank, P., Liu, Q., & Zhang, Y. (2021, December). Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation. Presented at 2021 CIE International Conference on Radar (Radar), Haikou, Hainan, China

In this paper, a stream quality tracking for measurements from combined radar and physical sensors is developed. The authors proposed the use of RDF stream processing system and semantic rules to provide semantic reasoning for tracking erroneous data... Read More about Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation.

Semantic model-driven framework for validating quality requirements of Internet of Things streaming data (2021)
Thesis
Bamgboye, O. O. Semantic model-driven framework for validating quality requirements of Internet of Things streaming data. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2855298

The rise of Internet of Things has provided platforms mostly enhanced by real-time data-driven services for reactive services and Smart Cities innovations. However, IoT streaming data are known to be compromised by quality problems, thereby influenci... Read More about Semantic model-driven framework for validating quality requirements of Internet of Things streaming data.

Semantic Stream Management Framework for Data Consistency in Smart Spaces (2019)
Presentation / Conference Contribution
Bamgboye, O., Liu, X., & Cruickshank, P. (2019, July). Semantic Stream Management Framework for Data Consistency in Smart Spaces. Presented at IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), Milwaukee, Wisconsin, US

Semantic technology can provide a bridge between
smart applications and Internet of Things (IoT) to enable
possible integration and interoperability of data produced by
heterogeneous devices. In IoT, data quality plays an important
role when it c... Read More about Semantic Stream Management Framework for Data Consistency in Smart Spaces.

Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. (2018)
Presentation / Conference Contribution
Bamgboye, O., Liu, X., & Cruickshank, P. (2018, July). Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. Presented at 12th IEEE Interna@onal Workshop on QUALITY ORIENTED REUSE OF SOFTWARE" (QUORS 2018)/ 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), Tokyo, Japan

Smart Spaces currently benefits from Internet of Things (IoT) infrastructures in order to realise its objectives. In many cases, it demonstrates this through certain automated applications that relies on sensor streams that comes with some uncertaint... Read More about Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces..

An empirical evaluation of security tips in phishing prevention: A case study of nigerian banks (2017)
Journal Article
Abiodun Orunsolu, A., Sodiya, A., Akinwale, A., Olajuwon, B., Alaran, M., Bamgboye, O., & Afolabi, O. (2017). An empirical evaluation of security tips in phishing prevention: A case study of nigerian banks. International Journal of Electronics and Information Engineering, 6(1), 25-39. https://doi.org/10.6636/IJEIE.201703.6%281%29.03

To shield users from phishing scams, various online brands send security tips as email, SMS and online posts to their customers. This paper presents the first empirical evidence about the effectiveness of the security tips in phishing prevention from... Read More about An empirical evaluation of security tips in phishing prevention: A case study of nigerian banks.

Replication-based cost scheduling strategy for fault tolerance in distributed knowledge management systems (2015)
Journal Article
Bamgboye, O. O., Folorunso, O., Akinwale, A. T., & Adebayo, G. A. (2015). Replication-based cost scheduling strategy for fault tolerance in distributed knowledge management systems. Journal of Natural Sciences Engineering and Technology, 14(1), https://doi.org/10.51406/jnset.v14i1.1487

Distributed Knowledge Management Systems (DKMS) often depends on the Semantic Web Peer-to-Peer (SW-P2P) model. The reason for this is based on its support for autonomy of knowledge node, ease of accessibility and scalability. The susceptibility to fa... Read More about Replication-based cost scheduling strategy for fault tolerance in distributed knowledge management systems.