Adaptive Security and Trust Management for Autonomous Messaging Systems

TL;DR

This paper introduces an adaptive security and trust management framework for autonomous messaging middleware that dynamically learns and evolves to enhance security and trustworthiness in uncertain, changing environments.

Contribution

It presents a novel integrated approach combining adaptive risk-based security, trust management, and assessment tools for autonomous messaging systems.

Findings

Improved security and trust in middleware systems.

Validated effectiveness through industrial case studies.

Enhanced assessability and verifiability of trustworthiness.

Abstract

With society's increased dependence on information communication systems, the need for dependable, trustable, robust, and secure adaptive systems becomes ever more acute. Modern autonomic message-oriented middleware platforms have stringent requirements for self-healing, adapting, evolving, fault-tolerance, security, and active vulnerability assessment, especially when the internal working model of a system and the environmental influences on the system are uncertain during run-time. In this paper, we present an adaptive and evolving security approach, and adaptive trust management approach to autonomous messaging middleware systems. This approach learns, anticipates, evolves, and adapts to a changing environment at run-time in the face of changing threats. The approach combines adaptive risk-based security, trust-based security, and security-based trust: the resultant supra-additive synergy improves and increases the strength of security and the degree of trust in the system. The approach also integrates different metrics, assessment tools, and observation tools that improve and increase the assessability and verifiability of the trustworthiness of the system. Validation of results is through industrial case studies and end-user assessment.