Security in SDN: A comprehensive survey

Software Defined Networking (SDN) is a revolutionary paradigm that is maturing along with other network technologies in the next-gen trend. The separation of control and data planes in SDN enables the emergence of novel network features like centralized flow management and network programmability that encourage the introduction of new and enhanced network functions in order to improve prominent network deployment aspects such as flexibility, scalability, network-wide visibility and cost-effectiveness. Although SDN exhibits a rapid evolution that is shaping this technology as a key enabler for future implementations in heterogeneous network scenarios, namely, datacenters, ISPs, corporate, academic and home; the technology is far from being considered secure and dependable to this day which inhibits its agile adoption. In recent years, the scientific community has been attracted to explore the field of SDN security to close the gap to SDN adoption. A twofold research context has been identified: on the one hand, leveraging SDN features to enhance security; while on the other hand one can find the pursue of a secure SDN system architecture. This article includes a description of security threats that menace SDN and a list of attacks that take advantage of vulnerabilities and misconfigurations in SDN constitutive elements. Accordingly, a discussion emphasizing the duality SDN-for-security and SDN-security is also presented. A comprehensive review of state-of-the art is accompanied by a categorization of the current research literature in a taxonomy that highlights the main characteristics and contributions of each proposal. Finally, the identified urgent needs and less explored topics are used to outline the opportunities and future challenges in the field of SDN security. © 2020 Elsevier Lt

Incidence of the RS(255,223) encoder in the performance of a Zigbee point-to-point system in an indoor environment [Incidencia del codificador RS(255,223) en el desempeño de un sistema punto a punto Zigbee en un ambiente indoor]

This paper presents the incidence of the RS error correction technique on the performance of a point-to-point link based on Zigbee technology, the measurements show that the RS scheme (255,223) allows the Zigbee system to achieve better performance in cases of interference. The evaluation of the RS technique uses the Euclidiano and Berlekamp Masey algorithms, in both processes requiring operations based on finite fields. © 2019 AISTI

Incidence of RS(255,239) coding in the performance of the EPON system

This paper presents the analysis by simulation of the incidence of the RS error correction technique in the performance of an EPON point-to-point link. The RS technique is based on the Euclidean algorithm and is modified by including the solution system of linear equations Gauss Jordan in the determination of the error value. Mathematical processes are performed in the field of finite number. The measurements show that the RS(255.239) coding scheme gives the EPON system a coding gain of 0.98 dB. © 2018 AISTI

Work in progress: Co-creation as a method for the identification of new functionalities for the customization of students learning styles for virtual learning platforms

Currently, there are many shortcomings in educational methodologies in a specific area. Several studies have found that this deficiency is since educators implement a single learning style to a population ignoring that each individual has different cognitive strategies in terms of learning. For this reason, a research team from University of Medellin established a strategic alliance with KUEPA and its educational platform, in which the aim is to restructure that educational platform to be able to intelligently assign a specific learning style to different students that interact with it. For the selection of the best methodology to accomplish that goal, several co-creation sessions were organized with the actors involved in the research study. As a result of the sessions, a set of new functionalities were proposed to be integrated into the platform. In addition, artificial intelligence has been found to be a key element to achieve the purpose of this research study under adaptive components based on learning methodologies. © 2020 IEEE

A software-based predictive model for greenhouse gas mitigation: Towards environmental sustainability

In the last years research-based programs relevant to sustainability have been developed. Some technological research programs are focused on the design of systems and processes that can be useful for mitigating greenhouse gas emissions as CO2. To diminish the negative impact caused by CO2 for global warming, its chemical transformation in Dimethyl Carbonate is a promising technology. Dimethyl Carbonate is a solvent with low toxicity and due to oxidative capacity can be used as fuel additive. In this work, the membrane reactor technology to improve the Dymethyl Carbonate production is explored from the perspective of modelling and simulation. As a result, a software-based model is implemented, in order to develop and couple different models for describing the membrane reactor. Simulation results showed that the membrane reactor, compared with conventional reactor, increase the reaction conversion and Dymethyl Carbonate production up to 67% and 78%, respectively. Finally, it can be seen that the solution obtained from software-based model allows to conclude that membrane reactor is a promising technology to mitigate CO2 emissions, allowing to achieve environmental sustainability. © 2018 AISTI

IlluminApp: Educational support tool for sustainable indoor illumination system reconversion for household applications

The illumination household represents an important percentage of electricity consumption in developing countries. The electricity consumption derived from residential illumination is strongly reduced by assuming cleaner and more efficient technologies. One of the Sustainable Development Goals (SDG) considers responsible consumption and production of goods and services, in which the authors have focused this study on lighting loads on households. For this matter, IlluminApp has been developed. It is an educational tool, which allows to identify the benefits of the illumination technology conversion to residential users, as well as, an estimation on energy savings and the retrofit cost reduction by using different light bulbs technologies. The application uses a simple cost and energetic model to estimate: payback time, CO2emissions reduction, money, and energetic savings. This software is available in English and Spanish. The objective of this paper is to discuss in detail the interfaces of this application and its main functionalities. © 2019 AISTI