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Objective— To develop a search model for judicial decisions supported by natural language processing that allows analyzing the text of jurisprudential sentences. Additionally, link-data is used to take advantage of the interrelation of content in related court decisions and improve search processes. Methodology— The search model was built in two phases: the first is the training phase to generate the models required to create an index, and second, a search phase where the user enters a search string that is used to find the documents (court decisions) more related to the search. The model was compared with other existing search engines of the Supreme Court of Justice of Colombia. The evaluation was divided into 2 steps. 1) Evaluation of the results obtained in each search, 2) User satisfaction with the results obtained in the searches solution. Results— The developed platform outperforms the existing search system of the court regarding user satisfaction and precision. Conclusions— The designed model for judicial sentences based on Natural Language Processing (NLP) and linked contributes to improving the user experience and the precision of the jurisprudence search.

Currently, students who use smartphones are affected by theft and information leakage, to address this problem, this research aims to identify security vulnerabilities in these devices. In addition, an application to prevent phishing and information leakage was implemented. Effectiveness and performance tests were carried out to identify vulnerabilities and to alert users about them. The threats identified in Android smartphones used by university students in the southwest of Colombia were based on various techniques (phishing, DNS poisoning, identity theft, Man in the middle, foot-printing, spyware). To reach this result, we defined the problem, then we made a literature review, after that we defined the study population, methods, and instruments; finally, we collected the information and analyzed the results. An application was launched to show the security vulnerabilities of malicious software installation, which extracts information from student’s devices and makes the security of our mobile phones a priority nowadays; and to achieve greater security on Android smartphones. However, it is essential to be aware of the importance of self-care.