Despite the rapid expansion and uptake of cloud based services, lack of trust in the provenance of such services\nrepresents a significant inhibiting factor in the further expansion of such service. This paper explores an approach\nto assure trust and provenance in cloud based services via the generation of digital signatures using properties or\nfeatures derived from their own construction and software behaviour. The resulting system removes the need for a\nserver to store a private key in a typical Public/Private-Key Infrastructure for data sources. Rather, keys are generated\nat run-time by features obtained as service execution proceeds. In this paper we investigate several potential software\nfeatures for suitability during the employment of a cloud service identification system. The generation of stable and\nunique digital identity from features in Cloud computing is challenging because of the unstable operation environments\nthat implies the features employed are likely to vary under normal operating conditions. To address this, we introduce a\nmulti-dimensional key generation technology which maps from multi-dimensional feature space directly to a key space.\nSubsequently, a smooth entropy algorithm is developed to evaluate the entropy of key space.
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