A Combined Survey on Machine Learning for Cognitive Radio Deployed on Secure WBAN Environments

Abstract

Wireless body area network (WBAN) security and cognitive radio networks (CRNs) are two separate topics in the field of wireless communication, but they can be related in some ways. WBANs are wireless networks that are designed to operate on or around the human body, typically for medical or healthcare applications. These networks often involve small, low-power devices that can monitor vital signs, track movement, or even deliver medication. Security is a critical concern in WBANs, as they often deal with sensitive personal information and may be vulnerable to various types of attacks. Some of the security challenges in WBANs include confidentiality, integrity, availability, privacy, and authentication. CRNs are wireless networks that allow devices to dynamically adapt to their environment by changing their transmission and reception parameters. This technology can improve the efficiency and reliability of wireless communication, but it also introduces security challenges, an attacker may try to manipulate the cognitive radio's sensing mechanism or jam the spectrum to disrupt the network. potential connections between WBAN security and CRNs. For instance, cognitive radios can be used to enhance the security of WBANs by providing more secure communication channels or detecting and mitigating attacks. Some of the security mechanisms developed for WBANs, such as secure authentication and encryption protocols, can be applied to CRNs to improve their security posture. WBAN security and CRNs are distinct topics, there is potential for these technologies to complement each other and enhance the overall security of wireless networks. the relationship between WBAN and CRN's is the specific objective is the primarily centered around spectrum management, interference mitigation, and secure spectrum sharing. By intelligently adapting to the wireless environment and optimizing spectrum usage, CR can enhance the security and reliability of WBAN communication in healthcare and other contexts where WBANs are deployed.