Self-repairing active defense type true random number generation device and generation method

Abstract

The invention discloses a self-repairing active defense type true random number generation method. A physical quantity in a natural world is taken as input of a random quantity. Statistical test operation and judgment are carried out according to the input random quantity and a random state value. A statistical result is used for updating related parameters of an adaptive random state prediction function and updating the random state value. If the statistical result is consistent with a threshold, the random state value is updated. If the statistical result is inconsistent with the threshold,intrusion alarm is triggered. The random state value is updated according to the adaptive random state prediction function. A true random number is output based on the updated random state value according to a key derivation function. The method is applicable to generation of the true random number of an Internet of things resource-constrained node. Intrusion sensing alarm is carried out on the node. When the physical quantity of the node is collected unsuccessfully or the node is attacked, active reparation or defense is realized through utilization of the adaptive random state prediction function. Reliability or intrusion difficulty of the node is improved. Relatively much coping time is gained for network security management.

Description

technical field

[0001] The invention relates to the technical field of network security communication, in particular to a self-repairing active defense type true random number generating device and a generating method. 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 the characteristics of low cost, low power consumption, and low speed, whi...

Examples

Embodiment Construction

[0032] This embodiment first provides a self-repairing active defense type true random number generation method, the method flow is as follows Figure 1 to Figure 3 As shown, the main contents are as follows:

[0033] Usually, various sensors or external devices are connected to the nodes of the Internet of Things / wireless sensor network. These sensors or external devices are used to collect physical quantities in the environment. The collected physical quantities need to be digitized through analog-to-digital conversion. The processed The data serves as an input value for a random quantity in the Random Statistical Test module. In order to enhance the randomness and unpredictability of the sampling data, the physical quantity collected in this embodiment is the continuous state change quantity and / or error quantity (that is, white noise) of the sensor or external equipment, and the physical quantity returned by the sensor is not directly used as input value, so it doesn't ma...

technical field

[0001] The invention relates to the technical field of network security communication, in particular to a self-repairing active defense type true random number generating device and a generating method. 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 the characteristics of low cost, low power consumption, and low speed, whi...

Examples

Embodiment Construction

[0032] This embodiment first provides a self-repairing active defense type true random number generation method, the method flow is as follows Figure 1 to Figure 3 As shown, the main contents are as follows:

[0033] Usually, various sensors or external devices are connected to the nodes of the Internet of Things / wireless sensor network. These sensors or external devices are used to collect physical quantities in the environment. The collected physical quantities need to be digitized through analog-to-digital conversion. The processed The data serves as an input value for a random quantity in the Random Statistical Test module. In order to enhance the randomness and unpredictability of the sampling data, the physical quantity collected in this embodiment is the continuous state change quantity and / or error quantity (that is, white noise) of the sensor or external equipment, and the physical quantity returned by the sensor is not directly used as input value, so it doesn't ma...

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