An encrypted ray detection system based on a new mean hash recognition algorithm

Abstract

The present invention discloses an encrypted ray detection system based on a new mean hash identification algorithm, comprising a neutron activation encryption analysis component and an encrypted mean hash identification algorithm module. The neutron activation encryption analysis component comprises a neutron source, a non-uniform mask, and a detector. The non-uniform mask is disposed to the right of the neutron source, and the detector is disposed to the right of the non-uniform mask. Compared with traditional ray detection methods, the technology proposed in the present invention achieves dual encryption of sensitive information in both the physical and electronic fields. While protecting the sensitive information of the tested items, it also achieves high-precision identification. This technology has great application prospects in nuclear disarmament verification, border nuclear material security inspections, and various scenarios where sensitive information needs to be encrypted for detection. This invention effectively overcomes the difficulties in encrypted ray detection for certain special projects and greatly improves the application capabilities of ray detection technology.

Description

Technical Field

[0001] The present invention belongs to the technical field related to security technology, and in particular relates to an encrypted ray detection system based on a new mean hash recognition algorithm. Background Art

[0002] As an important method of non-destructive testing, radiographic detection technology is widely used in production and life due to its high accuracy and good sensitivity. However, due to its powerful "perspective" performance, it is powerless to measure and analyze certain projects containing highly confidential information. For example, in the identity authentication process of nuclear warheads, the application of radiographic detection technology has limitations. In order to protect the confidential information of certain special projects during radiographic detection, the present invention proposes an encrypted radiographic detection system based on a new mean hash recognition algorithm, which is both robust and secure, and can complete identity authentication while protecting the confidential information of the tested project. Summary of the Invention

[0003] The purpose of the present invention is to provide an encrypted ray detection system based on a new mean hash recognition algorithm to solve the problem that the ray detection technology proposed in the above background technology is unable to perform measurement and analysis on certain projects containing highly confidential information due to its powerful "perspective" performance.

[0004] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: an encrypted ray detection system based on a new mean hash identification algorithm, comprising a neutron activation encryption analysis component and an encrypted mean hash identification algorithm module, wherein the neutron activation encryption analysis component comprises a neutron source, a non-uniform mask, and a detector, a non-uniform mask is provided at the right side of the neutron source, a detector is provided at the right side of the non-uniform mask, and an encrypted mean hash identification algorithm module is provided at the right side of the neutron activation encryption analysis component.

[0005] Preferably, the encrypted mean hash identification algorithm module includes an analysis host and a display screen, and the display screen is provided at the right side of the analysis host.

[0006] . According to the claim and the described encrypted ray detection system based on the new mean hash recognition algorithm, the neutron activation encryption analysis component is connected to the analysis host through a communication line or a wireless network, and the display screen is connected to the analysis host through a connecting line.

[0007] Preferably, the item to be measured is arranged at a middle position between the neutron source and the non-uniform mask, and the non-uniform mask is composed of a plurality of arranged lead blocks.

[0008] Compared with the existing technology, the present invention provides an encrypted ray detection system based on a new mean hash recognition algorithm, which has the following beneficial effects:

[0009] Compared to traditional radiographic detection methods, this encrypted radiographic detection system based on the new mean hashing algorithm achieves dual encryption of sensitive information in both the physical and electronic domains. This technology protects sensitive information about the items being tested while achieving high-precision identification. This system has promising applications in nuclear disarmament verification, border nuclear material security inspections, and other scenarios where encrypted detection of sensitive information is required. This invention effectively overcomes the challenges of encrypted radiographic detection for certain specialized projects and significantly enhances the application capabilities of radiographic detection technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 This is a flow chart of the encrypted mean hash recognition algorithm in the present invention.

[0011] Figure 2 Schematic diagram of the detection results of the traditional ray detection system and the encrypted ray detection system based on the new mean hash recognition algorithm in the present invention.

[0012] Figure 3 This is an encrypted ray detection system based on the new mean hash recognition algorithm in the present invention.

[0013] In the figure: 1. Neutron source; 2. Measured item; 3. Non-uniform mask; 4. Detector; 5. Data analysis body; 6. Display screen; 7. Neutron activation encryption analysis component; 8. Encrypted mean hash recognition algorithm module. DETAILED DESCRIPTION

[0014] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0015] The present invention provides Figure 1-3The encrypted ray detection system based on the new mean hash recognition algorithm shown in the figure includes a neutron activation encryption analysis component 7 and an encrypted mean hash recognition algorithm module 8. The neutron activation encryption analysis component 7 includes a neutron source 1, a non-uniform mask 3, and a detector 4. The non-uniform mask 3 is set at the right side of the neutron source 1, and the detector 4 is set at the right side of the non-uniform mask 3. The encrypted mean hash recognition algorithm module 8 is set at the right side of the neutron activation encryption analysis component 7. The encrypted mean hash recognition algorithm module 8 includes an analysis host 5 and a display screen 6. The display screen 6 is set at the right side of the analysis host 5. The neutron activation encryption analysis component 7 is connected to the analysis host 5 through a communication line or a wireless network, and the display screen 6 is connected to the analysis host 5 through a connecting line. The measured item 2 is set between the neutron source 1 and the non-uniform mask 3. The uniform mask 3 is composed of a plurality of lead blocks arranged in an array. The neutron activation encryption analysis component 7 utilizes a thermal neutron source 1 to irradiate the item under test 2 and generates a characteristic gamma signal through a nuclear reaction. Since the signal contains important information such as the composition and content of the item under test, direct measurement cannot meet the encryption detection requirements of certain special items. Therefore, the present invention uses a non-uniform mask 3 to distort the information carried by the gamma signal before it is detected, so that the sensitive information is not measured at the beginning, thereby realizing the encryption of sensitive information in the physical field. The non-uniform mask 3 is composed of 100 lead blocks with a bottom side length of 3×3 cm and different lengths. It is placed in front of the detector 4 array and can effectively distort the information carried by the characteristic gamma. In addition, a two-dimensional detector 4 array is placed at the end of the neutron activation encryption analysis component 7 to obtain two-dimensional gamma counts or energy distribution information after encryption of the item under test.

[0016] The encrypted mean hash identification algorithm introduces a key (a numerical matrix containing only 0s and 1s) and performs weighted encryption, binarization, and scrambling on the detection data to obtain the identity sequence corresponding to the item under test 2. By comparing the identity sequences of the reference item and the item under test, the identity of the item under test 2 can be authenticated. The specific steps of the encrypted mean hash identification algorithm are as follows:

[0017] (1) Perform the same interpolation processing on the detection data of the reference item and the item to be tested to obtain a value of

[0018] N×N count matrices, denoted as A1 and A2;

[0019] (2) Introduce a key matrix λ of size N×N (a matrix containing only 0 and 1 values), perform matrix product operations on the count matrices A1 and A2 with the key, and obtain key matrices β1 and β2;

[0020] (3) The obtained key matrices β1 and β2 are again matrix-producted with the count matrices A1 and A2 respectively to complete the encryption weighting of the original count matrix and obtain the weight matrices σ1 and σ2, whose formulas are as follows:

[0021] σ i =A i λA i (1)

[0022] Where: i = 1, 2, representing the reference project and the project to be tested, respectively. If A1 and A2 come from different projects to be tested 2, this step will amplify the difference between them;

[0023] (4) Calculate the matrix average of σ1 and σ2 respectively, then exchange the averages for comparison and obtain the relevant hash value matrix. The specific operation rules are as follows Figure 1 As shown: the matrix averages of σ1 and σ2 are recorded as σ1_mean and σ2_mean respectively, and then the means are exchanged and compared, that is, each element in σ1 is traversed and compared with σ2_mean. If it is greater than σ2_mean, it is set to 1, otherwise it is set to 0; σ2 performs the same operation with σ1_mean to obtain the corresponding hash value matrices ω1 and ω2. The formula is as follows:

[0024]

[0025]

[0026] (5) The hash value matrices ω1 and ω2 obtained above are scrambled and reduced in the same way to obtain a matrix with a length of N 2 The hash sequences ψ1 and ψ2 of ×1 represent the identity sequences of the reference item and the item under test, respectively. The Hamming distance H between the two hash sequences is calculated to represent the similarity between the reference item and the item under test. The relevant calculation formula is as follows:

[0027] (ψ1, ψ2)=arrange(ω1·ω2) (4)

[0028]

[0029] Working principle of the present invention: In the encrypted ray detection system based on the new mean hash recognition algorithm, it is first necessary to obtain the activated gamma information of the item to be tested through the neutron activation encryption analysis component, which can be information such as the two-dimensional count distribution or energy distribution of gamma particles. Then, the encrypted mean hash recognition algorithm is used to analyze the physically encrypted detection data to achieve encrypted authentication of the identity of the item to be tested. The specific implementation steps are as follows: The first step is to obtain a reference item related to the item to be authenticated. For example, in nuclear disarmament verification, we first need to obtain a real nuclear warhead as a reference item, and compare and analyze its measurement data with the measurement data of the item to be tested. This can complete the authentication of its identity while protecting the confidential information of the item to be tested.

[0030] Then, the detection system proposed by the present invention is used to perform irradiation measurement on the reference item and the item to be tested, and two activation gamma count matrices of size N×N are obtained respectively, which are stored in a database for future use.

[0031] Then, the encrypted mean hash recognition algorithm is used to process the detection data of the reference item and the item to be tested to obtain the corresponding length N 2 ×1 hash sequences are used as fingerprints of the reference item and the item to be tested respectively. The Hamming distance H between the two hash sequences can be calculated using formula (5) to represent the similarity between the two items. The smaller the Hamming distance H, the higher the similarity between the two items.

[0032] Similarly, the system calculates the Hamming distance between multiple reference items and determines a similarity threshold S. If the Hamming distance between the item under test and the reference item is less than or equal to threshold S, the two items are considered to be of the same type, thus achieving identity authentication of the item under test while protecting sensitive information.

[0033] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An encrypted ray detection system based on a new mean hash recognition algorithm, comprising a neutron activation encryption analysis component (7) and an encrypted mean hash recognition algorithm module (8), characterized in that: The neutron activation encryption analysis component (7) comprises a neutron source (1), a non-uniform mask (3), and a detector (4); the non-uniform mask (3) is provided at the right side of the neutron source (1); the detector (4) is provided at the right side of the non-uniform mask (3); and the encryption mean hash recognition algorithm module (8) is provided at the right side of the neutron activation encryption analysis component (7); the encryption mean hash recognition algorithm module (8) comprises an analysis host (5) and a display screen (6); the display screen (6) is provided at the right side of the analysis host (5); the neutron activation encryption analysis component (7) is connected to the analysis host (5) via a communication line or a wireless network, and the display screen (6) is connected to the analysis host (5) via a connecting line; an item to be tested (2) is provided at a middle position between the neutron source (1) and the non-uniform mask (3); the non-uniform mask (3) is composed of 100 lead blocks with a bottom surface of 3×3 cm and different lengths; The specific steps of the encrypted mean hash identification algorithm are as follows: Perform the same interpolation process on the detection data of the reference item and the item to be tested to obtain a value of The count matrix of and ; The import size is The key matrix , key matrix For a numerical matrix containing only 0 and 1, the counting matrix and Separately with the key matrix Perform matrix product operation to obtain the key matrix and ; The key matrix obtained and Again, separately with the count matrix and Perform matrix product to complete the encryption weighting of the original count matrix and obtain the weight matrix and , whose formula is as follows: in: , representing the reference item and the item to be tested respectively; Ask separately and The matrix average value is then exchanged for comparison to obtain the relevant hash value matrix. The specific operation rules are: and The matrix averages of and , and then exchange the means for comparison, that is, Each element in Perform traversal comparison, greater than If yes, set it to 1, otherwise set it to 0; and Perform the same operation to obtain the corresponding hash value matrix and , whose formula is as follows: The hash value matrix obtained above and Perform scrambling and dimensionality reduction in the same way to obtain a length of Hash sequence and , respectively represent the identity sequences of the reference item and the item to be tested; calculate the Hamming distance between the two hash sequences , to express the similarity between the reference item and the item to be tested, the relevant calculation formula is as follows:

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