*Result*: Machine learning techniques and bio inspired techniques based of XSS attack detection and mitigation in cyber network.

*These days, the internet is a necessary component that gives us quick access to data. Thus, in these kinds of circumstances, the security of web applications becomes crucial. With all of the advancements in invention, one would wonder, "How secure is the internet?" The highest level of security is the emphasis of the responses to these queries. Numerous studies have been conducted on the topic of using machine learning to defend web applications from threats. This paper explains the application of optimization-based machine learning to problem solving. The goal of advancement methods is to identify the most intelligent answer with the least amount of computational effort. The performance, assessment, and presentation of the suggested optimization-based machine learning classifiers with the greatest detection rate (99% accuracy) are presented in this work. additionally presents a comparative comparison with the previously suggested approach, demonstrating the superior accuracy of the Nature Inspired-based renown effort. [ABSTRACT FROM AUTHOR]*