Data security storage system and method suitable for resource-constrained network node

Abstract

The invention relates to a data security storage method suitable for a resource-constrained network node. Namely, a device identification list is established when a node device is started for the first time, and identification information of the node device is acquired; a device key of the node is generated according to the identification information of the device, and the device key is mixed andhidden in a code to generate a decryption function contained in the device key, wherein the decryption function contained in the device key is stored in the node device; meanwhile, a data key of the node is generated, and the data key is encrypted through the identification information of the node device and the generated device key, wherein the encrypted data key and the identification list are stored in the node device; the stored identification list and encrypted data key are read, and the decryption function contained in the device key is called to decrypt the encrypted data key; and sensitive data is encrypted (decrypted) by using the decrypted data key and an encryption (decryption) algorithm. Few resources are required; the sensitive data is high in storage security; and white box attack can be resisted.

Description

technical field [0001] The invention relates to the field of network information processing security, in particular to a data security storage system and method suitable for resource-limited network nodes. Background technique [0002] In recent years, the rapid development of the Internet of Things has attracted widespread attention from all walks of life, and will completely change our lives in the near future. Low-cost, low-power and low-speed wireless sensor networks are an important part and key enabler of the Internet of Things, which can well solve the two key issues that hinder large-scale deployment of the Internet of Things, cost and energy consumption. Thousands of intelligent sensing or control nodes are connected to each other through a wireless sensor network to transmit sensing / monitoring information or control instructions. Massive wireless sensor network nodes often have low cost and low power consumption requirements, and computing and memory resources are...

AI Technical Summary

Problems solved by technology

For IoT / sensing network nodes with extremely limited resources, the traditional technologies mentioned above are difficult to implement due to limitations in cost, power consumption, computing power, etc.

At present, there is no effective security scheme for sensitive data storage of IoT / wireless sensor network nodes with limited resources (computing, memory, power consumption, etc.)

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