Internet of things security access method for transmitting hardware damage and receiving hardware damage

Abstract

The invention provides an Internet of Things security access method for transmitting hardware damage and receiving hardware damage. The Internet of Things security access method comprises the following steps: step 1, constructing an Internet of Things security access system for transmitting hardware damage and receiving hardware damage; step 2, constructing a receiving signal-to-noise ratio model of each candidate legal terminal site; step 3, constructing a receiving signal-to-noise ratio model of the illegal eavesdropping terminal site; step 4, constructing a secure transmission rate model of each candidate terminal site facing transmitting hardware damage and receiving hardware damage; step 5, constructing a legal terminal site access selection model with the maximum secure transmission rate for transmitting hardware damage and receiving hardware damage; and step 6, solving the maximization problem to obtain an optimal legal terminal site, and allowing the legal terminal site to access the wireless network system of the Internet of Things. According to the invention, the safety performance and the communication performance of wireless access of the Internet of Things in which both the transmitting hardware damage and the receiving hardware damage exist can be obviously improved.

Description

Technical Field

[0001] The present invention belongs to the field of Internet of Things security, and in particular relates to an Internet of Things security access method oriented to transmitting hardware damage and receiving hardware damage. Background Art

[0002] The existing IoT security access methods all assume that the network's transmitting site and terminal receiving site have no hardware damage. However, in the actual IoT system, due to the different data volumes of the orthogonal components and in-phase components of the wireless data, the power amplifier entering the saturation region, the phase noise of the circuit's phase-locked loop, etc., the IoT's transmitting site has transmitting hardware damage and the terminal site has receiving hardware damage. Therefore, when facing an IoT system with an illegal eavesdropping terminal site, it is necessary to redesign the selection method for legitimate terminal sites. This method can be applied to IoT transmitting hardware damage and receiving hardware damage, and obtain the best security network performance. Summary of the invention

[0003] Purpose of the invention: The technical problem to be solved by the present invention is to provide a secure access method for the Internet of Things with respect to the shortcomings of the prior art, which is oriented to the hardware damage of the transmitting and receiving hardware damages. It can take into account the hardware damage of the transmitting site of the Internet of Things, the receiving hardware damage of each legal terminal site, and the receiving hardware damage of the illegal eavesdropping terminal site, thereby ensuring the security rate and high efficiency of the data transmission of the Internet of Things in the case of hardware damage.

[0004] The method of the present invention comprises the steps of:

[0005] Step 1: Build an IoT security access system for transmitting hardware damage and receiving hardware damage;

[0006] Step 2: Construct a receiving signal-to-noise ratio model of each candidate legal terminal site according to the transmission hardware impairment of the access site AP and the receiving hardware impairment of each candidate legal terminal site;

[0007] Step 3: Construct a receiving signal-to-noise ratio model of the illegal eavesdropping terminal site based on the transmitting hardware damage of the access site AP and the receiving hardware damage of the illegal eavesdropping terminal site;

[0008] Step 4: Based on the received signal-to-noise ratio of each candidate legal terminal station and the received signal-to-noise ratio of the illegal eavesdropping terminal station, a secure transmission rate model for each candidate legal terminal station facing the damage of transmitting hardware and the damage of receiving hardware is constructed;

[0009] Step 5: construct a selection model for legal terminal site access that maximizes the secure transmission rate for damaged transmitting hardware and damaged receiving hardware, solve for the best legal terminal site, and allow the legal terminal site to access the IoT wireless network system.

[0010] In step 1, the IoT wireless network access system includes an access site AP, two or more candidate legal terminal sites and an illegal eavesdropping terminal site;

[0011] The illegal eavesdropping terminal station is used to eavesdrop on downlink information;

[0012] The access site AP, each candidate legal terminal site, and illegal eavesdropping terminal site all use a full-duplex protocol;

[0013] All transmitting and receiving stations operate at the same frequency.

[0014] In step 1, the transmission hardware damage of the access site AP is modeled as having a mean of 0 and a variance of ε t A random variable with a Gaussian random probability distribution, where ε t The value of is usually small; the receiving hardware impairment of each candidate legal terminal station is modeled as having a mean of 0 and a variance of μ k A random variable with a Gaussian random probability distribution, where μ k The variance of the random variable modeling the kth candidate legal terminal site, k = 1, 2, ..., K, K is the number of candidate legal terminal sites waiting to access the Internet of Things; the receiving hardware damage of the illegal eavesdropping terminal site is modeled as a mean of 0 and a variance of ω e A random variable with a Gaussian random probability distribution, where ω e The variance of the random variable modeling the hardware damage of the receiver of the illegal eavesdropping terminal site e. The character e means the illegal eavesdropper, and the overall parameter means the variance of the parameter of the hardware damage of the receiver of the illegal eavesdropper. e itself has no numerical range, but the variance ω e There is a numerical range, ω e >0.

[0015] In step 2, the received signal-to-noise ratio model of each candidate legal terminal station is expressed as:

[0016]

[0017] Among them, SNR k represents the received signal-to-noise ratio of the kth legal terminal station, p is the transmit power value of the access station AP, and h k It is the wireless channel coefficient from the access site AP to the kth candidate legal terminal site.

[0018] In step 3, the receiving signal-to-noise ratio model of the illegal eavesdropping terminal station is expressed as:

[0019]

[0020] Among them, SNR e represents the eavesdropping signal-to-noise ratio of the illegal eavesdropping terminal station, h e It is the wireless channel coefficient from the access site AP to the illegal eavesdropping terminal site.

[0021] In step 4, the secure transmission rate model of each candidate legal terminal station facing the transmission hardware damage and the reception hardware damage is expressed as:

[0022]

[0023] Among them, R s Represents the safe receive data rate with transmit hardware impairments and receive hardware impairments.

[0024] In step 5, the following formula is used to solve the best legal terminal site:

[0025]

[0026] in, Indicates the k with the largest value.

[0027] The present invention also provides an electronic device, comprising a processor and a memory, wherein the memory stores program code, and when the program code is executed by the processor, the processor executes the steps of the described method.

[0028] The present invention also provides a storage medium storing a computer program or instruction. When the computer program or instruction is run on a computer, the steps of the method described are executed.

[0029] The beneficial effects of the present invention are as follows: in the Internet of Things, there are terminal sites that illegally eavesdrop, and both the transmitting hardware of the transmitter and the receiving hardware of each terminal site are damaged. The method for selecting legitimate terminal sites obtained not only effectively improves the secure transmission rate, but is also applicable to the differences in different receiving hardware damages. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments, and the above and / or other advantages of the present invention will become more clear.

[0031] Figure 1 The invention discloses a system model for secure terminal site access to the Internet of Things with regard to transmission hardware damage and reception damage. Figure 2 The present invention is a flowchart of a secure terminal site accessing the Internet of Things with regard to transmitting hardware damage and receiving damage according to an embodiment of the present invention.

[0032] Figure 3It is a schematic diagram of the relationship between the safe transmission rate and the transmission power at different damage levels when the transmitting hardware and the receiving hardware are damaged.

[0033] Figure 4 It is a schematic diagram showing the changing trend of the secure receiving rate performance of the Internet of Things with the number of all legal terminal sites applying to access the Internet of Things when both the transmitter and the receiver have hardware damage. DETAILED DESCRIPTION

[0034] This embodiment proposes a secure access method for the Internet of Things with respect to transmitting hardware damage and receiving hardware damage. Figure 1 As shown, the method includes the following contents:

[0035] S1. Construct an IoT security access system for transmitting hardware damage and receiving hardware damage; the IoT wireless network access system includes an access point (AP), multiple candidate legal terminal sites, and an illegal eavesdropping terminal site (eavesdropping on downlink information), characterized in that: the AP, each candidate legal terminal site, and the illegal eavesdropping terminal site all use a full-duplex protocol, and all transmitting and receiving sites work at the same frequency.

[0036] S2. Based on the AP's transmitting hardware impairment and each legal terminal's receiving hardware impairment, a receiving signal-to-noise ratio model for each candidate legal terminal is constructed:

[0037]

[0038] S3. Aiming at the AP's transmitting hardware damage and the illegal eavesdropping terminal station's receiving hardware damage, a receiving signal-to-noise ratio model of the illegal eavesdropping terminal station is constructed:

[0039]

[0040] S4. Based on the received signal-to-noise ratio of each candidate legal terminal station and the received signal-to-noise ratio of the illegal eavesdropping terminal station, a secure transmission rate model for each candidate terminal station with damaged transmitting hardware and damaged receiving hardware is constructed:

[0041]

[0042] S5. Construct a selection model for legitimate terminal site access with maximum secure transmission rate for transmitting hardware damage and receiving hardware damage:

[0043]

[0044] S6. Solve formula (4) to obtain the best legal terminal site, and allow the legal terminal site to access the Internet of Things wireless network system.

[0045] Figure 2 The invention is a design flow chart of a secure access method for the Internet of Things with transmission hardware damage and reception hardware damage. The first step is that all candidate legal terminal sites start to apply for access to the Internet of Things. The second step is to calculate the reception signal-to-noise ratio of each candidate legal terminal site based on the transmission hardware damage of the AP and the reception hardware damage of each legal terminal site. The third step is to calculate the reception signal-to-noise ratio of the illegal eavesdropping terminal site based on the transmission hardware damage of the AP and the reception hardware damage of the illegal eavesdropping terminal site. The fourth step is to construct a secure transmission rate for each candidate legal terminal site. The fifth step is to select a legal terminal site that maximizes the secure transmission rate to access the Internet of Things system.

[0046] This implementation case is the optimal selection method for legal terminal sites when there are illegal eavesdropping terminal sites when both transmitter hardware damage and receiver hardware damage exist. In the IoT security access system, all access wireless channels obey Gaussian distribution, and the mean of the Gaussian probability distribution is 0 and the variance is 1. The variance of the transmitter hardware damage, the variance of the receiving hardware damage of the illegal eavesdropping terminal site, and the receiving hardware damage of each legal terminal site applying for access to the IoT system are all set to 0.01 or 0.02. The size of the transmitter's generated power p is set to between 0 and 20 decibels, and the number K of all candidate legal terminal sites for access to the IoT is set to 10.

[0047] In an embodiment, Figure 3 The relationship between the safe transmission rate and the transmission power at different damage levels is given when the transmitting hardware and the receiving hardware are damaged. Figure 4 The performance trend of IoT secure reception rate is given when both the transmitter and the receiver have hardware damage, along with the number of all legal terminal sites applying to access the IoT. Each picture corresponds to three different hardware damage coefficients, and both pictures show that the greater the hardware damage, the lower the secure reception rate. Figure 3 It shows that as the AP transmit power continues to increase, the change trend of each curve is to increase first, and then gradually decrease after reaching a certain value. This is because the increase in transmit power improves the eavesdropping ability of the eavesdropping terminal station, and the negative effects of transmitter hardware damage are more obvious as the transmit power increases. This impact not only affects illegal eavesdropping terminal stations, but also affects each candidate legal terminal station. Under the combined influence of these complex factors, the change trend of the secure access receiving rate of the entire IoT system is as follows: Figure 3 shown.

[0048] However, Figure 4It shows that as the number of candidate legal terminal sites increases, the secure reception rate of the Internet of Things continues to increase under any given hardware damage coefficient. The reason is that as the number of candidate legal terminal sites increases, the maximum value of the instantaneous transmission capacity of the wireless access channel corresponding to the legal terminal sites will gradually increase, thereby ultimately increasing the secure access reception data rate of the entire Internet of Things system.

[0049] The present invention provides a secure access method for the Internet of Things facing the damage of transmitting hardware and receiving hardware. There are many methods and ways to implement the technical solution. The above is only a preferred implementation of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the protection scope of the present invention. All components not specified in this embodiment can be implemented by existing technologies.

Claims

1. A secure access method for the Internet of Things facing the damage of transmitting hardware and receiving hardware, characterized in that: Step 1: Build an IoT security access system for transmitting hardware damage and receiving hardware damage; Step 2: Construct a receiving signal-to-noise ratio model of each candidate legal terminal site according to the transmission hardware impairment of the access site AP and the receiving hardware impairment of each candidate legal terminal site; Step 3: Construct a receiving signal-to-noise ratio model of the illegal eavesdropping terminal site based on the transmitting hardware damage of the access site AP and the receiving hardware damage of the illegal eavesdropping terminal site; Step 4: Based on the received signal-to-noise ratio of each candidate legal terminal station and the received signal-to-noise ratio of the illegal eavesdropping terminal station, a secure transmission rate model for each candidate legal terminal station facing the damage of transmitting hardware and the damage of receiving hardware is constructed; Step 5: construct a selection model for legal terminal site access that maximizes the secure transmission rate for damaged transmitting hardware and damaged receiving hardware, solve for the best legal terminal site, and allow the legal terminal site to access the IoT wireless network system.

2. The method according to claim 1, characterized in that: In step 1, the IoT wireless network access system includes an access site AP, two or more candidate legal terminal sites and an illegal eavesdropping terminal site; The illegal eavesdropping terminal station is used to eavesdrop on downlink information; The access site AP, each candidate legal terminal site, and illegal eavesdropping terminal site all adopt a full-duplex protocol.

3. The method according to claim 2, characterized in that In step 1, all transmitting sites and receiving sites operate at the same frequency.

4. The method according to claim 3, characterized in that In step 1, the transmission hardware damage of the access site AP is modeled as having a mean of 0 and a variance of ε t A random variable with a Gaussian random probability distribution, where ε t The value of is usually small; the receiving hardware impairment of each candidate legal terminal station is modeled as having a mean of 0 and a variance of μ k A random variable with a Gaussian random probability distribution, where μ k The variance of the random variable modeling the kth candidate legal terminal site, k = 1, 2, ..., K, K is the number of candidate legal terminal sites waiting to access the Internet of Things; the receiving hardware damage of the illegal eavesdropping terminal site is modeled as a mean of 0 and a variance of ω e A random variable with a Gaussian random probability distribution, where ω e The variance of the random variable representing the damage modeling of the receiving hardware of the illegal eavesdropping terminal station e.

5. The method according to claim 4, characterized in that In step 2, the received signal-to-noise ratio model of each candidate legal terminal station is expressed as: Among them, SNR k represents the received signal-to-noise ratio of the kth legal terminal station, p is the transmit power value of the access station AP, and h k It is the wireless channel coefficient from the access site AP to the kth candidate legal terminal site.

6. The method according to claim 5, characterized in that In step 3, the receiving signal-to-noise ratio model of the illegal eavesdropping terminal station is expressed as: Among them, SNR e represents the eavesdropping signal-to-noise ratio of the illegal eavesdropping terminal station, h e It is the wireless channel coefficient from the access site AP to the illegal eavesdropping terminal site.

7. The method according to claim 6, characterized in that In step 4, the secure transmission rate model of each candidate legal terminal station facing the transmission hardware damage and the reception hardware damage is expressed as: Among them, R s Represents the safe receive data rate with transmit hardware impairments and receive hardware impairments.

8. The method according to claim 7, characterized in that In step 5, the following formula is used to solve the best legal terminal site: in, Indicates the k with the largest value.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores program codes, and when the program codes are executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 8.

10. A storage medium, characterized in that: A computer program or instruction is stored, and when the computer program or instruction is run on a computer, the steps of the method according to any one of claims 1 to 8 are executed.

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