Knowledge Security An Empirical Use of IT – Child Abuse Monitor System Model Tiago Pereira 1 and Henrique Santos 2 1 Algoritmi Centre, University of Minho, Azurém, Guimarães, Portugal 2 Information Systems Department, University of Minho, Azurém, Guimarães, Portugal Keywords: Health Care Knowledge Sensitivity, Health Care Decision Support System, Ontology, Health Care Knowledge Security, Knowledge Management, Topic Models, Information Retrieval, Text Mining. Abstract: The Information Security, nowadays, faces new threats such as the process of massive information in which are applied artificial intelligence techniques with the goal of predicting and classify our actions. Thus, knowledge about our behaviour, likes, dislikes, among others, leads us to consider that Knowledge Security appears has the natural evolution of Information Security. On the other side of the same coin we have new possibilities to monitor health, the wellbeing and abnormal symptoms, reactions to treatments, alert for insulin insufficiency, pacemaker malfunction, among others. Child abuse cases, it is a subject of most importance in our society, although, these cases are, from suspicion to signalization, difficult to identify since strong evidences are needed. Typically, health care services deal with these cases in an earlier stage with evidences based on the emergency diagnosis, but, yet, not sufficient and with lack of information, thus, further analysis is needed from experts’ teams. The main goal of these teams is to protect the child from the possibility of occurrence of more abuses. We have developed a prototype that automatically could predict and alert to situations that could be needed to use the measure of the protection of the child, using digitalised child abuse processes, knowledge management and artificial intelligence techniques with 83% of true positives. In this research, we addressed both sides of the coin, Knowledge Security and the benefits of the Knowledge Discovery defining, in our opinion, the fourth generation of Knowledge Management - Value Creation and Knowledge. 1 INTRODUCTION Knowledge Security it is seen here as a natural evolution from information security. Currently, we face new paradigms concerning the context of “BigData", the huge amount of data that is processed, the machine learning algorithms and other artificial intelligence which are implemented, in such way that is possible to predict our present and future actions, in other words, knowledge about our behaviour, preferences, among others. Thus, the protection of the right to privacy, promotion of confidentiality, integrity and availability - fundamental properties of InfoSec (ISO, 2013, Oladimeji et al., 2011). The context of knowledge Security demands a new approach. To promote, protect and preserve knowledge about us is necessary to concern about knowledge management and information security management that indicates that we should define what we need to protect. This decision, it is related to the value of that knowledge represents to us. Concerning the organizations, the situation is similar. If we want to implement security treatments, we should define the security object to protect. In this research, the health care issues were a mean to demonstrate the need of knowledge security, also to realize that in what kind of form Knowledge Sensibility allow the characterization of critical knowledge. Based on this premise, we have formulated the research question: Can we automatically classify health care information as critical concerning laws and regulations, terms and knowledge sensibility in order to preserve it? Using the design science research methodology, we have developed a prototype that can distinguish child abuse documents from others based on health care knowledge (symptoms, effects, among others) allowing us to identify a case that should have further analysis by child protection committee and by its critical value if it should or not be 236 Pereira, T. and Santos, H. Knowledge Security - An Empirical Use of IT – Child Abuse Monitor System Model. DOI: 10.5220/0006384002360243 In Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2017), pages 236-243 ISBN: 978-989-758-251-6 Copyright © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved