Sensitive data leakage prevention control method and system for Internet of Things equipment

Abstract

The invention provides a sensitive data leakage prevention control method and system for Internet of Things equipment. The method comprises the following steps: reading an attribute identifier of at least one local Internet of Things equipment; obtaining one or more attribute identifiers, and estimating the data link length of a data control network formed by the at least one local Internet of Things equipment; determining index identifiers of basic transmission data messages of the local Internet of Things equipment according to the determined data link length, combining the index identifiers and creating an index identifier data set; analyzing at least a portion of the created index identification data set to determine sensitive data content therein, and creating one or more sensitive data sets accordingly; and adding a data perturbation factor to the sensitive data set for executing a leakage control algorithm.

Description

technical field [0001] The present invention mainly relates to application improvement technology of home Internet of things (IoT, Internet of things), and in particular provides an anti-sensitive data leakage control method and a physical application system for maintaining data security of home equipment systems in a home Internet of things environment. Background technique [0002] With the continuous development of the Internet of Things technology, more and more load-carrying devices are gradually improved by intelligence and automatic control, which includes industrial Internet of Things, home Internet of Things or Internet of Things protocol application layer optimization, etc., so that it can pass a variety of Homogeneous or heterogeneous networks are used to collect and calculate the operating information of these load-bearing devices, so as to obtain more convenient automatic control of equipment in industrial or commercial fields. Generally, IoT devices are defined...

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Problems solved by technology

[0003] However, in this process, IoT devices are often subject to tampering attacks or information theft due to factors such as the single type of encryption algorithm of the network system, slow updates, or defects in the network topology. Defects such as the installation environment, computing power, and device structure of networked devices cannot be prevented or automatically recovered through their own settings, and for example, tampering is difficult to detect in time, so that the end of the data chain of IoT devices also exists The hidden danger of being attacked reduces the security of the entire network system

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