Since networks are used to carry a massive amount of daily data that is obtained from various activities. Cybersecurity is a crucial concern that is getting more significant as the world becomes more linked with the internet. Because of more connectivity with the internet increase the chances of crime in the cyber system is increased now. With each new day in healthcare industries that goes by, crime related to cyber systems continues to take various turns, so healthcare information protection is most important. Organizations are being put to the test by the newest and most inventive technologies in terms of how they protect their infrastructure and how they need cutting-edge services and information to do so. Despite the fact that there is no perfect solution, we should do all in our power to lessen cybercrime in order to ensure a future in which technology is secure. Before improper activity can be examined and remembered in order to prevent a recurrence, most security systems require vulnerabilities. Such a reactive approach to infrastructure protection, which includes our healthcare systems, is useless. The current cyber defense system as a result has a huge theoretical gap. In this work we reviewed about some mitigating method like Machine Learning, Block Chain, Deep Learning, HLE-SO hybrid etc. and work is proposed for cyber attacks observed in the healthcare system and which type of mitigating methods are used for overcome the possibility of attack in cyber system