Browsing by Author "Riofrio Machado, Xavier Fernando"

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A design for a secure malware laboratory
(Springer Nature Switzerland AG 2020, 2020) Riofrio Machado, Xavier Fernando; Salinas Herrera, Kleber Fernando; Galindo, David
Malicious software teaching is based on theory, consequently, students do not experiment with real practice. Therefore, when they confront a rising incidence in the real world, the response is not usually at the adequate time neither valuable enough. A practical focus will provide a different understanding of the problem due to the fact that the student will be able to recognise suspicious behaviour. This paper proposes the design of an entire platform that experiments with topics related to malware in a controlled and safe environment. The strategy presented is a virtual machine that integrates tools including Metasploit Framework, vulnerable systems, and software scanners. Besides, a web tutorial is available for user orientation; it incorporates additional exclusive components for Metasploit and a tutorial to develop them.
Reliability Study of a Smart Distribution System with Optimal Sizing and Placement of Capacitors
(Institute of Electrical and Electronics Engineers Inc., 2021) Riofrio Machado, Xavier Fernando
This work introduces a new modified IEEE 33-node test system to be smart by implementing distributed renewable generation, smart metering load characteristics, and optimal installation of capacitors. The Particle Swarm Optimisation (PSO) technique is adopted to compute the optimal sizing and placement of capacitor in the original network. Then, to assess the reliability of the original and modified test systems, a sequential Monte Carlo simulation takes place. The relevant contribution of this paper is that it offers a comprehensive approach of a reliability assessment in a distribution system, where several smart features have been implemented. In addition, the modified system opens a pathway for future research in which smart distribution system analysis is required related mainly to reliability assessment.
Semantic Recommender Systems for Digital TV: From Demographic Stereotyping to Personalized Recommendations
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2015-07-14) Avila, J; Espinoza Mejía, Jorge Mauricio; Palacio Baus, Kenneth Samuel; Riofrio Machado, Xavier Fernando; Saquicela Galarza, Víctor Hugo
Compared to analog transmissions, Digital Television (DTV) standards allows a higher number of available TV stations and consequently, a larger entertainment offer. In this context, Recommender Systems (RS) support users in choosing entertainment content by narrowing their options to a reduced set based on their preferences an interests. However, new users or those having incomplete profiles prevent the system to produce accurate recommendations, which is more noticeable in early stages of the RS. This paper proposes the use of a demographic stereotyping approach based on minimal user attributes acquired during user registration. Furthermore, we propose an experimental procedure that can be used to compare the system accuracy for the created stereotypes and for users making extensive use of the system.