Análisis de la violencia de género desde la perspectiva de la ciberseguridad : obtención de datos, etapa de experimentación y redacción de pubicación.

Abstract

Gender violence is a social problem that focuses on the physical and psychological attack on men and women in society. Nowadays, techniques to intimidate, steal information and harass are more common due to the free access of technological resources. For this reason, in recent years different social phenomena have been studied through the analysis of digital data, particularly short texts. From this point of view, a functional PDAC procedure for the detection of cyber bullying has been proposed, which allows the definition of different phases that involve cyber bullying in all its forms. That said, there are numerous investigations of the attack, but cyberattacks similar in nature to gender-based violence have been excluded from these studies. This research exposes the process for obtaining a life cycle from the perspective of computer security, specifically social engineering and persistent attack models according to the scientific field. Data related to gender violence was collected to be treated through Data Mining techniques, to proceed to standardize the levels of the life cycle of cyber bullying based on the PDAC. To achieve this objective, a data set of the experiences of the victims who have suffered this attack is used, this information is refined and an LDA topic model is applied to determine the stages of the attack.