The distributed structure of traditional networks often fails to promptly and accurately provide the computational power required for artificial intelligence (AI), hindering its practical application and implementation. Consequently, this research aims to analyze the use of AI in software-defined networks (SDNs). To achieve this goal, a systematic literature review (SLR) is conducted based on the PRISMA 2020 statement. Through this review, it is found that, bottom-up, from the perspective of the data plane, control plane, and application plane of SDNs, the integration of various network planes with AI is feasible, giving rise to Intelligent Software Defined Networking (ISDN). As a primary conclusion, it was found that the application of AI-related algorithms in SDNs is extensive and faces numerous challenges. Nonetheless, these challenges are propelling the development of SDNs in a more promising direction through the adoption of novel methods and tools such as route optimization, software-defined routing, intelligent methods for network security, and AI-based traffic engineering, among others.

Tele-education went from being an option to becoming a necessity given the current public health problems. Due to this, the educational sector has included blended courses as part of its training offer. Mobile Ad Hoc Networks (MANETs) will therefore, become an important resource to work, under this class format, with students outside the classroom, in accordance with the standards recommended inside a university campus. MANETs require certain parameters that ensure the quality of communications and identify the factors that influence Quality of Service (QoS). The purpose of this study is to determine the factors that affect the quality of communications in a tele-education environment. For this purpose, the QoS of a MANET supporting a real-time video streaming is evaluated based on throughput. As a result, the main factors that directly or indirectly affect the operation of the network could be identified, which may help in making decisions regarding aspects such as the number of nodes and the node mobility speed. Moreover, the versatility and scalability of the MANET was proven, as when the number of nodes went from 5 to 10, throughput increased by 14 %. This also occurred with the transmission rate factor when the video was streamed in a channel with a variable bitrate (64–4096 kbps).

Currently, telecommunications and especially mobile communications have taken great importance and relevance in people's daily activities. However, the use of mobile devices has been threatened by the growing wave of attacks and Trojans as malware (e.g., exploits) for information theft, and fire damage; To mitigate these attacks there are data encryption techniques and authentication processes. In this way, a breach of confidentiality and authenticity in communications can be avoided. On the other hand, some of the existing encryption algorithms are insecure and may require high computational costs. This work analyzes the performance of three of the main encryption algorithms defined by the National Institute of Standards and Technology (NIST): Rijndael as Advanced Encryption Standard (AES), Serpent and Twofish, specifying their main operating characteristics, analyzing performance tests on smart devices, to determine which of these algorithms is the most appropriate to be implemented in each device. Finally, an equation called computational cost is generated, which is a function of RAM, CPU, and battery drain; that analyses for symmetries encryption algorithms that can be performed on similar devices to those treated in this experiment. Actualmente las telecomunicaciones y especialmente las comunicaciones móviles han tomado gran importancia y relevancia en las actividades cotidianas de las personas. Sin embargo, el uso de dispositivos móviles se ha visto amenazado por la creciente ola de ataques y malware tipo troyanos (e.g., exploits), para robo de información y daño de archivos. Con el fin de contrarrestar estos ataques, se han creado técnicas de cifrado de datos y procesos de autenticación. De esta manera se puede evitar violación de la confidencialidad y autenticidad en las comunicaciones. Por otra parte, algunos de los algoritmos de cifrado existentes son inseguros y pueden requerir altos costos computacionales. En este trabajo se realizó el análisis del rendimiento de tres de los principales algoritmos de cifrado definidos por el Instituto Nacional de Estándares y Tecnología (NIST por su sigla en inglés): Rijndael como el Estándar Avanzado de Cifrado (AES por su sigla en inglés), Serpent y Twofish, analizando sus principales características de funcionamiento y realizando pruebas de rendimiento sobre dispositivos inteligentes (smartphones y tablets), con el fin de determinar cuál de estos algoritmos sería el más adecuado para ser implementado en cada equipo. Finalmente, se genera una ecuación llamada costo computacional, que depende de la RAM, CPU y el gasto de batería; con la cual, se pueden realizar análisis para los algoritmos de cifrado simétricos en dispositivos similares a los tratados en este experimento.