ORCA
Online Research @ CardiffÂ
Browse by Current Cardiff authors
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Number of items: 7.
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Javed, Amir, Lakoju, Mike, Burnap, Peter and Rana, Omer
2020.
Security analytics for real-time forecasting of cyberattacks.
Software: Practice and Experience
10.1002/spe.2822
Item availability restricted. |
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| Burnap, P., Branson, D., Murray-Rust, D., Preston, J., Richards, D., Burnett, D., Edwards, N., Firth, R., Gorkovenko, K., Khanesar, M.A., Lakoju, M., Smith, T. and Thorp, J. 2019. Chatty factories: a vision for the future of product design and manufacture with IoT. Presented at: Living in the Internet of Things (IoT 2019), London, UK, 1-2 May 2019. Living in the Internet of Things (IoT 2019). IET, 4 (6 pp.). 10.1049/cp.2019.0129 |
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| Aldmour, Rakan, Burnap, Pete and Lakoju, Mike 2019. Risk assessment methods for converged IoT and SCADA systems: review and recommendations. Presented at: Living in the Internet of Things (IoT 2019), London, UK, 1-2 May 2019. Living in the Internet of Things (IoT 2019). IET, pp. 5-10. 10.1049/cp.2019.0130 |
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| Lakoju, Mike and Serrano, Alan 2018. Saving costs with a big data strategy framework. Presented at: IEEE International Conference on Big Data, Boston, MA, 11-14 Dec 2017. 2017 IEEE International Conference on Big Data. IEEE, p. 2340. 10.1109/BigData.2017.8258188 |
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| Nuhu, Khalipha Abubakar, Swift, Stephen, Lakoju, Mike and Macredie, Robert D. 2018. Investigating user responses to mandatory IT- induced organisational changes: a pre-implementation study. Presented at: European Conference on Information Systems 2018, Portsmouth, 23-28 June 2018. |
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| Lakoju, Mike and Serrano, Alan 2017. Framework for aligning big-data strategy with organizational goals. Presented at: 23rd Americas Conference on Information Systems, Boston, MA, August 10-12, 2017. AMCIS 2017 Proceedings. |
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| Lakoju, Mike and Serrano, Alan 2017. A strategic approach for visualizing the value of big data (SAVV-BIGD) framework. Presented at: 2016 IEEE International Conference on Big Data, Washington, DC, 5-8 Dec 2016. 2016 IEEE International Conference on Big Data. IEEE, pp. 1334-1339. 10.1109/BigData.2016.7840739 |
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