Violence against women is a public health problem worldwide. This crime occurs due to the conservative, sexist, hierarchical conceptions that are fed by the way society was and is educated. Modern technologies such as Data Mining are capable of deepening studies in several areas and generating knowledge for the analysis and development of solutions. The objective of this work is to use Data Mining in real testimonies of women victims of violence in Ceará, to collect data, treat them and process them to obtain strategic knowledge, showing that technology can be a great ally in Public Health and Safety Management. This research has a quantitative, bibliographical and experimental approach, as it makes use of statistical data, generated after the collections, to generate knowledge about the studied topic. Bibliographic research was also used in books, articles, theses and dissertations. Based on the results collected in the testimonies of these women, we observed that there is no balance between negative and positive words. The number of negative words is higher than the number of positive ones, 86% of negative words refer to bad feelings, problems experienced in relationships and the frequency and 14% of positive words are related to the desire to have "Freedom", where the motivation was the desire to go back to school, work and, above all, feel safe. In conclusion, the research shows that violence against women still receives little attention from public policies that involve the protection of women and there is still a lack of information on the subject, causing many women not to understand the seriousness of the situation they were subjected to, even though it is a recurring problem in our country.

Technology can help society in environmental protection, mapping and managing aggressive events. The plastic waste produced by society degrades the environment in several ways: difficult to decompose; attacks biotas; it pollutes oceans, seas and marine resources, in addition to spreading micro plastic, an aggressor that is difficult to identify and perceive. The objective of this research is to use information technology as an ally in the defense of Parque do Cocó in Fortaleza, Ceará, to map, register, denounce and generate strategic knowledge that helps decision-making against plastic waste discarded in the surroundings of the park. The research methodology used was applied research, when we used a real model to test possibilities for the benefit of our community. The research also has a quantitative approach to evaluate the results obtained during field collections. In the field collections, three categories of garbage were registered and georeferenced: rigid plastics; soft plastics and other types, such as cans, bottles and aluminum containers. In the collection carried out in April / 2021, we recorded 107 garbage points, an average of one plastic garbage every 23.36 meters, in the next collection, in May / 2021, 156 garbage points were recorded, an average of one garbage every 16.02 meters. In the last collection in January/2022, 331 points were registered, an average of one piece of garbage every 7.57 meters. In conclusion, we observed that the relaxation and flexibility of the quarantine imposed by Covid-19 resulted in a significant increase in plastic waste discarded around the park, consequently, more garbage in the mangroves, which flow to the Cocó River, which flows into the Atlantic Ocean. Plastic waste does not disappear, it does not disappear after being discarded, it continues in nature causing damage in its route of destruction to the biota and consequently to its aggressors, humans.

Domestic violence is one of the serious problems to be faced in our society and involves efforts by the public authorities with regard to security, health and education. In Brazil, among the groups that suffer this type of violence, the main victims are women. This research aims to look at this topic from the perspective of Information, observing how this subject has been propagated in social networks and the educational aspects reflected in the awareness and fight against this type of crime. For this, this research used Data Mining techniques, KDD processes and Technology resources for data analysis, in a qualitative research methodology, through a survey on the social network of Twitter, in the periods around "Agosto Lilás", month dedicated to the debate on the subject. Using KDD and Artificial Intelligence techniques, it was possible to analyze the publications, the content of each publication, those that had the greatest impact, the sources from which they originated, the places with the highest concentration of publications, and sentiment analysis of the most used words, classifying them into positive, negative and neutral. In conclusion, it was possible to observe an increase in denunciations and visibility in the traditional media, making the subject more present in the debates, mainly in the months of August and September, although this debate has also been used in political campaigns, being associated with party groups, making the theme a political tool in the conquest of the female audience. The issue is of great relevance to society, and more than punishing, it is necessary to educate, to extinguish any and all abusive treatment of women.

Attributing intelligence to the information security area has become a mandatory measure for knowing what is controlled within the organization, creating new models of cybernetic defense, not only based on the behavior of anomalies in the company, but also on what is happening around the world. This article presents an introductory SOC model capable of performing the necessary operations for monitoring threats and anomalies within an organization's network assets, emphasizing SIEM technology. For the tests with the technology, a laboratory was built so that the tests could be carried out in a practical way, assembling and simulating the SIEM Wazuh servers according to the official documentation and the good practices defined by the developers, as well as the necessary infrastructure to simulate the security incident composed of endpoint, firewall and SIEM servers (Indexer, Server and Dashboard). With the tests carried out in the laboratory, it was possible to create a monitoring environment capable of detecting anomalies as predicted by the technology, allowing the creation of new detection rules and integration of different data sources, Wazuh as a SIEM presents itself as a solution of lowcost cost effective for incident detection.

Presenting the vulnerability in the SMBv1 protocol, identified by the fix released by Microsoft: MS17-010, using the EternalBlue/DoublePulsar exploit, this vulnerability had its propagation through WannaCry that using the flaw had its spread on May 12, 2017. No system is 100% secure, information security rule, however in the field of intrusion testing most of the flaws exploited by CVE (Common Vulnerabilities and Exposures ) have already been corrected and released correction path, but without updating by users . The methodology used was research applied in a field study, through the analysis of this vulnerability and description of the entire process of exploiting the security flaw. Bibliographic research was also used to give theoretical support to the study. With this study, it was possible to present real cases of the risk existing in outdated systems, which allow access and exploitation by malicious people. The exploitation of vulnerabilities by ethical researchers is a safe way to help information security in organizations that rely on science to guarantee their computing assets. The research presents the problem and the solution to guarantee information security in organizations that are vulnerable to the studied attack method, thus helping Information Security for IT managers.