Database honey pot verifiable data construction method and system

Abstract

The invention provides a database honey pot verifiable data construction method and system. The method comprises steps of acquiring a data table of a to-be-constructed original database and determining each filed name, determining whether the number of the length of field value domain in the data table less than a preset value is more than one according to the field names, executing a next step if the number is more than one, adding a Boolean type field to the tail of the data table if the number is no more than one, selecting two fields from the data table and with the value domain less than the preset value and containing no less than two available values, and constructing a constant-truth map for the selected fields. And values in the value domain of the fields meeting the constant-truth map are data of the two fields. A plurality of data with less value domain space are employed for mutual-verification, so the data table truth can be guaranteed and data sources can be proofed and non-authenticity of the data table can be specified.

Description

technical field [0001] The invention relates to the field of computer network security, in particular to a verifiable data construction method and system for a database honeypot. Background technique [0002] In the existing database honeypot technology, in order to make the database honeypot confuse the attacker and make it exist in the honeypot for a long time to record its behavior, the method of data construction is usually used to make the data in the database honeypot more accurate. Close to the actual business data, in the data construction process, in order to avoid the leakage of the real data, the method of processing the real data and then adding it to the honeypot is generally adopted. Or in order to be able to declare that the data is not real data after the data in the database honeypot is leaked, and prove its data source, the method of adding watermark to the field with a large value range is adopted, which can further embed additional data. data, without di...

AI Technical Summary

Problems solved by technology

However, in practical applications, there are many cases where the length of the field is small, such as the gender field: male or female, or marked as 0 or 1; the age field: generally 1-100, etc., the data value range of such fields is very small , unable to add watermark

The data of the database honeypot is sometimes not completely leaked, but only part of the data is extracted and leaked, so it is impossible to prove the source of the data in this case

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