Security of Big Data over IoT Environment by Integration of Deep Learning and Optimization

Abstract

This is especially true given the spread of IoT, which makes it possible for two-way communication between various electronic devices and is therefore essential to contemporary living. However, it has been shown that IoT may be readily exploited. There is a need to develop new technology or combine existing ones to address these security issues. DL, a kind of ML, has been used in earlier studies to discover security breaches with good results. IoT device data is abundant, diverse, and trustworthy. Thus, improved performance and data management are attainable with help of big data technology. The current state of IoT security, big data, and deep learning led to an all-encompassing study of the topic. This study examines the interrelationships of big data, IoT security, and DL technologies, and draws parallels between these three areas. Technical works in all three fields have been compared, allowing for the development of a thematic taxonomy. Finally, we have laid the groundwork for further investigation into IoT security concerns by identifying and assessing the obstacles inherent in using DL for security utilizing big data. The security of large data has been taken into consideration in this article by categorizing various dangers using a deep learning method. The purpose of optimization is to raise both accuracy and performance.

La telemedicina como herramienta para abordaje la salud mental de personas con enfermedades tropicales desatendidas

“…Ahora bien, considerado lo anterior, se introduce una nueva definición, el estigma, es el conjunto de actitudes y creencias negativa, a menudo equivocada, de un individuo, colectivo o institución, que desacreditan o rechazan a una persona por considerarla diferente (Kassi 2008;Ramdas et al, 2016;Al-Kamel, 2017). En este contexto, se asocia a un alto porcentaje de ETD por su curso crónico, incapacidad física y/o estigmatización (Alleema et al, 2022). Ocasionando en los individuos que la padecen, sufrimiento, viviendo su drama en silencio, enfrentándose a su propio estereotipo (autoestigma) (Muñoz et al, 2011), que se ve potenciado con el estigma social de su día a día (Kassi 2008).…”