@conference {10943065,
	title = {VChain: Establishing Trust Based on Verifiable Credential Chains},
	booktitle = {2025 28th Conference on Innovation in Clouds, Internet and Networks (ICIN)},
	year = {2025},
	pages = {41-48},
	keywords = {a microservice, a user, a VC is linked to very specific properties for which it is issued and its trustworthiness is associated to its root of trust. However, Abstract-Verifiable credentials (VCs) appear as a promising solution for holders to prove to verifiers the possession of certain desirable qualities or characteristics in a trustworthy and privacy-aware manner. Currently, accuracy, CAM and LPwE, can be strict and accurate enough to perform even access control or authorization in various practical settings. Moreover, determining the trustworthiness of a digital entity, e.g, etc, even if such a derivation could be trivial in the physical world, Heuristic algorithms, i.e, Metadata, Microservice architectures, namely GSP-X, Noise, on arbitrary properties cannot be currently done based on their existing VCs, Open systems, Organizations, respectively. The algorithms, Smart contracts, Synthetic data, Technological innovation, the certified access to an organization subdomain should provide access to the domain that includes it. In this paper, the likelihood of a microservice to meet advertised qualities for which it possesses no VCs. With synthetic datasets of credential chains of varying degrees of noise and hidden credentials from the ground truth, they are able to estimate a level of confidence on the possession of specific attributes based on the VCs available at the holder. Implementing one of the proposed algorithms within a blockchain smart contract can serve as a trust broker for assessing tru, we define and experimentally analyze three different algorithms, we experimentally establish that CAM and LPwE can accurately infer additional information about an entity{\textquoteright}s attributes or qualities even based on 50\% and 60\% of available ground truth, when properly parametrized, while employ VCs of multiple holders to infer the trustworthiness of a specific entity to possess specific properties of interest within a certain context},
	doi = {10.1109/ICIN64016.2025.10943065},
	author = {Papaioannou, Thanasis G and Ritas, Vaios}
}
