Trust Management in Heterogeneous Ubiquitous Environments

Abstract

New technologies integrate multiple systems and service platforms into one coherent environment. The coherent environment now promotes multi-scenario smart device interaction, all in real time. The presence of mixed devices and systems creates computational trust and security issues. This stems from their multifunctional capabilities, different ownership structures, and different security and privacy rules. In addition, dynamic and decentralized communication systems introduce significant complexity. Trust Management serves as the basis for this complexity, encompassing security and reliability, privacy, and trust. There are trust mechanisms that rebuild our trust in a given system. Other systems are more proactive, and these are integrated systems with a focus on being pervasive and proactive. This research is considered Trust Management, primarily focusing on the principles of Mobility and Context variability. This report includes several theorems on trust, consisting of reputation systems, trust, and context and integration, that demonstrate the versatility of each approach in meeting the needs of decentralized systems. In addition, this review expands on elements of trust building, identity, behavior trust, history, and context trust. It then covers in detail the evaluation and decision process for trust, and three adaptive learning systems that trust accurately over time.