Knowledge security: An empirical Use of IT - Child abuse monitor system model

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.