In data handling, security and privacy are essential for database administrators and users that own their information. Information about security models or architectures was analyzed for databases that minimize Cyber Attacks. The problem is that security models deployed in databases in public organizations suffer from computer attacks due to vulnerabilities in their security management systems. Data providers often publish the information for research purposes, publishing compromises on the privacy of the data of users registered in the entities. There are many security techniques for databases based on data encryption processes in transactions, however, the techniques found compromise information. The development of the document used the deductive method and exploratory research technique that allows us to study the information in the articles presented. In this document we have proposed a Security Model Assessment Prototype for Databases, a Prototype of Security Management Architecture in Blockchain for a Database, a Database Security Algorithm, a Logical Structure of the Management System in Blockchain, and a Prototype to mitigate cyberattacks. The use of a hybrid blockchain model provides the system with the optimal security that public organizations in relation to test results performed with a 99.50% security effectiveness. The simulations presented in this document were conducted based on in-depth studies and the data were randomly placed with a range according to the study results based on real-world situations.INDEX TERMS Blockchain, cyber attacks, cyber security, data base, public organization.
This work proposes a digital platform based in a multi-agent system to plot the different mobility alternatives to counteract the agglomerations in public transport and therefore decrease COVID-19 infections in the GDL. Following the recommendations of the World Health Organization (WHO) in the face of the health emergency of COVID-19, mainly keeping a healthy distance, the GDL can integrate sustainable mobility as the public bicycle system and reduce the users in regular transport routes to safe levels. For that endeavor, we develop an analysis of the behavior of the trips in the public transport of Guadalajara to explore the possibility of substituting the short transfers of bus travel by bicycle travels using the existing public bicycle infrastructure. We introduce a multi-agent simulation to plot different scenarios of mobility moving bicycles and buses. In this preliminary work, we show possibilities of the simulation integrating as variables not only the risk of COVID-19 infection but also the impact on economy and traffic reduction, CO2 Footprint, and health achieved with this multimodal mobility simulation. Also, the simulation can help to incentivize safer and efficient mobility strategies in the public transport system to reduce the use of private vehicles.
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