Annotations of Machine Learning in Communication and Identification Systems Pertaining to Security Aspects

Abstract

In this work, a summary of machine learning (ML) applications in communication and identification technologies is presented. Focus is placed in particular on device communication over the Internet. In other words, the topic of device communication between computers, cell phones, and other electronic devices is covered. Additionally, the internet of things (IoT) technologies used to connect smart gadgets are detailed. Along with describing the methods of data sharing, the security characteristics of these communications are also discussed. In essence, ML algorithms are discussed to represent strategies to improve security. Furthermore, the identification of passengers and vehicles is explained, taking communication technologies like the internet, wireless fidelity (WiFi), radio frequency identification (RFID), etc. In this context, particular algorithms are discussed together with their benefits and drawbacks. The ML algorithms are found to be extremely helpful in these areas.