检验检测样品配送机器人信息安全分级方法研究OA

Aiming at the problems of insufficient adaptability of existing general information security standards and lack of privacy protection mechanisms caused by the multi-subject and dynamic personnel contact characteristics of inspection and testing sample delivery robots,a special evaluation index system including general information security and scenario-based privacy protection for inspection and testing(covering collection,storage,usage,protection and authority control)is constructed based on GB/T 45502-2025 General Requirements for Information Security of Service Robots.Taking damage severity and occurrence probability as core two-dimensional factors,the confidentiality,integrity and availability of information security are scored.A risk classification method based on the two-dimensional cloud model is adopted to transform qualitative risk concepts into quantitative data so as to eliminate classification ambiguity.Verified through a case study of delivery robots,the overall risk level is determined as high risk after comprehensive classification assessment,which is consistent with the actual security situation.A theoretical basis and quantitative evaluation tool for information security classification of such robots is provided.