Journal Article

Data Analytics, Self-Organization, and Security Provisioning for Smart Monitoring Systems

Anwar, Raja Waseem, Ghafoor, Kayhan Zrar, Qureshi, Kashif Naseer, Nagmeldin, Wamda, Abdelmaboud, Abdelzahir, Javed, Ibrahim Tariq, Crespi, Noel

2022

Overview

Internet availability and its integration with smart technologies have favored everyday objects and things and offered new areas, such as the Internet of Things (IoT). IoT refers to a concept where smart devices or things are connected and create a network. This new area has suffered from big data handling and security issues. There is a need to design a data analytics model by using new 5G technologies, architecture, and a security model. Reliable data communication in the presence of legitimate nodes is always one of the challenges in these networks. Malicious nodes are generating inaccurate information and breach the user’s security. In this paper, a data analytics model and self-organizing architecture for IoT networks are proposed to understand the different layers of technologies and processes. The proposed model is designed for smart environmental monitoring systems. This paper also proposes a security model based on an authentication, detection, and prediction mechanism for IoT networks. The proposed model enhances security and protects the network from DoS and DDoS attacks. The proposed model evaluates in terms of accuracy, sensitivity, and specificity by using machine learning algorithms.

• Publisher: MDPI AG,MDPI
• Subject: Air pollution / Algorithms / Analysis / analytics / Big Data / Communication / Data analysis / Data mining / Data processing / Decision making / Deep learning / Design / Environmental monitoring / Internet of Things / IoT / Learning strategies / Machine learning / Monitoring systems / networks / Neural networks / Safety and security measures / security / Sensors / Technology adoption