Trustworthy Analysis of Drain3-based Cold Storage Behavior in Judicial Depository Scenarios

In the judicial deposit scenario, the storage device needs to ensure the long-term trustworthy storage of electronic evidence. In order to reduce the energy consumption of the storage device in the storage process, the judicial authority introduces the cold storage device as the storage device for electronic evidence. Cold storage equipment as a core component in the judicial depository scene, the trustworthiness of its cold storage behavior affects the trustworthiness of the entire scene of electronic evidence, judicial institutions and so on. Since the success of storage depends on many complex factors, and there are many cold storage devices in the archiving system, the managers can not quickly locate the abnormal problem information, and in the long run, there are many inconveniences in the abnormal management of the devices. Therefore, this research will study the trustworthiness of cold storage behavior in judicial depository scenarios. This paper mainly focuses on the description of the trustworthiness of cold storage behavior and the collection of data related to behavioral trustworthiness, and the trustworthiness assessment of cold storage behavior will be carried out at a later stage. In this paper, a new trusted attribute classification method is proposed to analyze the trusted attributes for the observer, operation ontology and operation object of deeds. In addition, the cold storage logs are obtained based on the operations of constructing trusted behavior declarations and simulating the operating environment, and the logs are analyzed according to the Drain3 algorithm to extract the real behavioral data of cold storage, which provides theoretical and data support for the next step of cold storage behavioral trustworthiness metrics.