AI Deep Learning and Data Security in the Internet of Everything

RODRIGUES, Marcos (2016). AI Deep Learning and Data Security in the Internet of Everything. In: Kelaniya International Conference on Advances in Computing and Technology (KICACT) 2016, Colombo, Sri Lanka, 25 November 2016. (Unpublished)

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Abstract

This keynote will discuss research issues in Artificial Intelligence (AI) and data security being addressed by the GMPR research group at Sheffield Hallam University. AI Deep Learning (DL), a state-of-the-art machine learning technique, continues to advance into all areas of industry and human activity. DL methods are applied to multi-modal problems with complex data structure such as robotics and computer vision, data mining, cybersecurity, natural language and knowledge discovery. We will discuss our recent results and the potential to medical applications concerning with 1) hospital’s survival prediction in adult care admissions and 2) on learning to infer patient’s physiological states from the analysis of action units from the Facial Action Coding System (FACS). Concerning data security in the IoE we will present our patented method for data compression-encryption with examples of lossless and lossy compression of text and image data. We will unveil our vision for Cloud Computing where the user is connected in an absolute secure way with data compression-encryption performed as the main step in Fog Computing.

Item Type: Conference or Workshop Item (Keynote)
Additional Information: Keynote Speaker at the conference
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments: Arts, Computing, Engineering and Sciences > Engineering and Mathematics
Depositing User: Marcos Rodrigues
Date Deposited: 11 Jan 2017 11:38
Last Modified: 20 Oct 2017 00:39
URI: http://shura.shu.ac.uk/id/eprint/14293

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