Protect healthcare system based on intelligent techniques

Good patient care means safe record-keeping practices. Never forget that the electronic health record (EHR) represents a unique and valuable human being: it is not just a collection of data that you are guarding, it is a life. Malicious codes are one of the significant reasons for the rising number of security violations of systems associated with the web or worked in an open domain. Some security organizations, that perceive the significance of security, develop security systems, for example, firewalls, virus scanning proxy servers, and intrusion detection system. In this venture, the integration of different techniques in network security is applied for healthcare system protection. This work portrays a wavelet neural network approach to the proposed Intelligent Healthcare Security System (IHSS) which include an intelligent firewall (IFW), intelligent network intrusion detection subsystem (INIDS), and intelligent web filter (IFW). Also, it used Multi-Layer Perceptron (MLP) for detection and classifying the attacks depend on an on-line analysis mechanism. Various wavelet neural network structures are analyzed to discover the optimal neural network with regards to the number of hidden layers.