A^3srC: Autonomic Assessment Approach to IOT Security Risk Based on Multidimensional Normal Cloud

Abstract

Around autonomic assessment problem of security risk, considering the high hybrid and heterogeneity of Internet of Things (IOT, for short), the potential influence and occurrence possibility of each main threat is described, evaluated and measured in accordance with fuzziness and randomicity of IOT security index. By which, the security risk grade and system tolerance degree of hybrid IOT security scene with incremental deployment characteristics is qualitatively analyzed. Multidimensional Normal Cloud is adopted to make synthesis of risk indicators, and the autonomic assessment strategy of security risk is constructed. On the basis of above work, transmission multi-rules mapping between qualitative input of security risk and quantitative inference of assessment rules is researched, autonomic inference rules and the optimization strategy are proposed. At last, the effectiveness, autonomy and accuracy of the proposed approach are verified by simulations.