| Title | Audit Process Framework for Data Protection and Privacy Compliance Using Artificial Intelligence and Cognitive Services in Smart Cities |
|---|---|
| ID_Doc | 41829 |
| Authors | Huerta, J; Salazar, P |
| Title | Audit Process Framework for Data Protection and Privacy Compliance Using Artificial Intelligence and Cognitive Services in Smart Cities |
| Year | 2018 |
| Published | |
| Abstract | Nowadays data protection and privacy is a topic of concern of society as there are more and more systems interconnected that are part of our daily activities, a great amount of data is being transferred through these systems in order to make them easy to use and solve some typical problems, but there is no certainty of having sensitive data protected or privacy regulated. Now with all technological advances, we are able to take advantage of artificial intelligence and cognitive services to provide a model in which the systems and devices will be scanned in an audit process to allow us to know if these are complaining at least of the minimum requirements of rules and regulations regarding data protection and privacy topics. A model that can be capable of audit using artificial intelligence and cognitive functions will be presented, as well as the architectural envision for implementing it in a smart city, where almost all of systems and devices will be audited. This model will allow implementing standard intelligent audits in smart cities, modifying the "new product development" process adding a required step previous to product introduction. |
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