Intelligent and Optical Security Monitoring for 6G Communications

The infrastructure of communication technologies in recent years has grown more complex and autonomous to meet societal requirements. Advanced technologies such as optical communication due to their enormous bandwidth and less latency capabilities have become the most sought-after candidates for 6G communications. The optical networks provide an agile and secure platform for effective data transmission. Thus, it is important to include cognitive and intelligent security monitoring for autonomous optical network management to improve reliability. Machine learning is a great tool that provides advancements in security monitoring in terms of accuracy and cost-effectiveness for optical network diagnosis and management. This chapter discusses the vulnerability of optical networks to various security threats in the physical layer along with countermeasures for network survivability. Several monitoring techniques using various performance parameters are also discussed for effective attack identification and localization to ensure robust optical network performance for 6G communications.