Self-healing and secure adaptive messaging middleware for business-critical systems

Current business-critical systems have stringent requirements for the significant and measurable increase in the end-to-end intelligence, security, scalability, self-adaptation and resilience. Existing state-of-the-art messaging systems achieve arbitrary resilience by a brute-force approach. Self-healing is either rudimentary or non-existent. In this study we present a self-healing and secure adaptive messaging middleware that provides solutions to overcome limitations in robustness, resilience, self-adaptability, scalability, and assurance against security threats and erroneous input during run-time in the face of changing threats. This developed system supports a messaging infrastructure which enables adaptive functions and assurance against security vulnerabilities and erroneous input vulnerabilities to improve the reliability, robustness and dependability of business-critical infrastructures. It provides autonomous adjustments of the run-time configuration of the system in order to preserve and maintain optimal and uninterrupted operation, improvement of the strength of security and degree of trust in the system, and improvement of the assessability and verifiability of the trustworthiness of the system. The methodology used in this research is partly analytical and partly experimental. We develop the new core functionalities theoretically and validate them practically by prototyping.