CN115333735A - Safe data transmission method - Google Patents
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- CN115333735A CN115333735A CN202211237320.XA CN202211237320A CN115333735A CN 115333735 A CN115333735 A CN 115333735A CN 202211237320 A CN202211237320 A CN 202211237320A CN 115333735 A CN115333735 A CN 115333735A
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- 239000011159 matrix material Substances 0.000 claims abstract description 69
- 238000005119 centrifugation Methods 0.000 claims abstract description 37
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- 238000004364 calculation method Methods 0.000 claims description 16
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/08—Key distribution or management, e.g. generation, sharing or updating, of cryptographic keys or passwords
- H04L9/0861—Generation of secret information including derivation or calculation of cryptographic keys or passwords
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/14—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using a plurality of keys or algorithms
- H04L9/16—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using a plurality of keys or algorithms the keys or algorithms being changed during operation
Abstract
The invention relates to the technical field of mobile communication, in particular to a safe data transmission method, which converts data to be transmitted into a binary coding sequence, converts the binary coding sequence into a decimal coding sequence and obtains a decimal characteristic matrix; acquiring a target encryption window of the decimal feature matrix based on the integral centrifugation degree of the decimal feature matrix and a first centrifugation degree under encryption windows of different sizes, acquiring a clustering threshold value according to a feature value of the target encryption window, dividing all the target encryption windows into a plurality of clustering results based on the clustering threshold value and the feature value, acquiring an encryption matrix of each clustering result according to a numerical value in the target encryption window, and acquiring a decimal encryption sequence corresponding to the decimal feature matrix according to the encryption matrix; and converting the decimal encryption sequence into binary encryption codes by using a modulo two division method for transmission. The invention utilizes the random characteristic to carry out the self-adaptive acquisition of the encryption window, thereby improving the safety of data transmission.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a secure data transmission method.
Background
Data encryption is a long-history technology, and means that plaintext is converted into ciphertext through an encryption algorithm and an encryption key. Especially today in the information age, most information transmission is based on internet, so the security in the transmission process is more important, and the importance of data encryption is more important.
The popular conventional data encryption technology is only for data encryption or segment encryption. However, in time, the encryption is performed in segments, the used keys are the same, the data attention degree of the encryption method is insufficient, in order to improve the encryption effect, only the data of the keys can be adjusted, the data quantity of the encrypted keys is insufficient, the encryption safety is not high, the data are easy to crack violently, the number of the encrypted keys is too large, the safety is sufficient, the encryption redundancy of the encrypted data is easy to cause, and the transmission resource is too large.
Disclosure of Invention
In order to solve the above technical problems, an object of the present invention is to provide a method for secure data transmission, which adopts the following technical solutions:
carrying out binary coding on data to be transmitted by utilizing a conventional binary compression coding technology to obtain a binary coding sequence;
converting each binary coding sequence into a decimal coding sequence to obtain a decimal feature matrix; calculating the integral centrifugation degree based on each numerical value of the decimal feature matrix, setting an encryption window, traversing on the decimal feature matrix by using the encryption window to calculate the first centrifugation degree of each encryption window, and adding the difference value between each first centrifugation degree and the integral centrifugation degree to obtain the centrifugation degree difference value of the decimal feature matrix under the encryption window;
acquiring the centrifugal degree difference values corresponding to the encryption windows with different sizes, and taking the encryption window corresponding to the minimum centrifugal degree difference value as a target encryption window;
calculating the characteristic value of the decimal characteristic matrix corresponding to each target encryption window based on each numerical value in the target encryption window, and combining the characteristic value and the total number of numerical values in the decimal characteristic matrix to obtain a clustering threshold value; calculating a characteristic value difference value corresponding to any two target encryption windows, and clustering all the target encryption windows based on the characteristic value difference and the clustering threshold value to obtain m clustering results, wherein m is a positive integer;
respectively obtaining an encryption matrix of a corresponding clustering result based on the numerical value of each target encryption window in each clustering result, and performing multiplication operation on the numerical value in the encryption matrix and the numerical value in each target encryption window in the corresponding clustering result to form a decimal encryption sequence; and converting the decimal encryption sequence into binary encryption codes by using a modulo two division method for transmission.
Further, the method for obtaining the overall centrifugation degree comprises the following steps:
and calculating a numerical variance according to each numerical value in the decimal feature matrix, and taking the numerical variance as the integral centrifugation degree.
Further, the method for acquiring the first centrifugation degree includes:
and calculating a numerical variance according to each numerical value in the encryption window, and taking the numerical variance as the first centrifugation degree.
Further, the method for acquiring the characteristic value includes:
calculating the value average of all the values in the target encryption window, squaring the difference value between each value and the value average, and taking the ratio of the square result to the number of the values in the target encryption window as the characteristic value of the corresponding target encryption window.
Further, the method for obtaining the clustering threshold includes:
accumulating the characteristic values of all the target encryption windows to obtain a characteristic value accumulated value, obtaining a ratio of the characteristic value accumulated value to the total number of the numerical values in the decimal characteristic matrix, and optimizing the value by utilizing an adjusting parameter to obtain the clustering threshold value.
Further, the method for obtaining the encryption matrix includes:
for clustering results
Carrying out average value calculation on the ith number value of each target encryption window, and forming a clustering result by all average values
The encryption matrix of (2).
The embodiment of the invention at least has the following beneficial effects: compared with the traditional encryption algorithm which is based on bit fixing segmentation when data is segmented, the fixed segmentation mode does not consider the characteristics of the whole data and the characteristics of each segment after segmentation when the whole data is segmented, the scheme calculates the encryption matrix of each clustering result to complete the encryption of the data by continuously analyzing the randomness of the whole code and the randomness of codes in a region and then utilizing the randomness characteristics to carry out self-adaptation of an encryption window on the basis of carrying out characteristic amplification by utilizing the matrix according to the binary coding, so that the number of keys is less, the encryption algorithm is different due to different characteristics of different data in the encryption process, and the security is higher.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart illustrating steps of a method for securely transmitting data according to an embodiment of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of a method for secure data transmission according to the present invention, its specific implementation, structure, features and effects will be given in conjunction with the accompanying drawings and preferred embodiments. In the following description, the different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following describes a specific scheme of the secure data transmission method provided by the present invention in detail with reference to the accompanying drawings.
The specific scenes aimed by the invention are as follows: in the data transmission process, data is often encrypted due to the privacy and the security of the data, and the existing encryption of the whole data or the segmented data by using the same algorithm easily causes insufficient encryption security or data redundancy, so that the whole binary data is subjected to decimal, then the encryption windows are self-adaptive and clustered, and the windows of the same category are encrypted to realize the secure transmission of the data.
Referring to fig. 1, a flowchart of steps of a method for securely transmitting data according to an embodiment of the present invention is shown, where the method includes the following steps:
and S001, carrying out binary coding on data to be transmitted by utilizing a conventional binary compression coding technology to obtain a binary coding sequence.
Specifically, the encryption algorithm in this scheme is directed to binary data, so that the existing compression coding technology needs to be used to perform binary coding on data to be transmitted according to the type of the data to be transmitted, for example, text data may use the existing GZIP compression coding technology, which specifically includes: firstly, text data is encoded by using LZ77, and then the LZ77 is secondarily compressed by using Huffman coding, so that a binary coding sequence of data to be transmitted is obtained.
Step S002, converting the binary coding sequence into a decimal coding sequence to obtain a decimal characteristic matrix; calculating the integral centrifugation degree based on each numerical value of the decimal feature matrix, setting an encryption window, traversing on the decimal feature matrix by using the encryption window to calculate the first centrifugation degree of each encryption window, and adding the difference value between each first centrifugation degree and the integral centrifugation degree to obtain the centrifugation degree difference value of the decimal feature matrix under the encryption window; and acquiring the centrifugal degree difference values corresponding to the encryption windows with different sizes, and taking the encryption window corresponding to the minimum centrifugal degree difference value as a target encryption window.
Specifically, when encrypting data, a conventional encryption algorithm needs to encrypt the data in segments because the data is too long, whereas the conventional encryption algorithm performs fixed segmentation on the data based on bits, when segmenting the entire data, the fixed segmentation method does not consider the characteristics of the entire data and the characteristics of each segment after segmentation, and further when encrypting, some parts of the code are originally very large compared with the overall random degree, so that the conventional encryption method is used for encrypting too many times, resulting in more keys and easily causing waste of resources.
Based on the above reasons, the decimal coding sequence is generated from the binary coding sequence of the data to be transmitted, which specifically comprises: the conversion from binary code to decimal code requires determining the value interval of decimal system, which is generally
In which
The smaller the value is, the finer the binary coding is converted into the decimal coding, the more accurate characteristics close to the binary are extracted and quantized by the characteristics of the binary coding on the decimal coding, but the processing workload is larger relatively, and vice versa, the preferred selection is summarized in the embodiment of the invention
The calculated amount is reduced as much as possible on the basis of not losing the binary coding characteristics too much, the actual implementation process can be selected by the operator according to the actual requirements of the implementer, and the value range of each decimal code is
Obtained by 8-bit binary coding. And then, generating a decimal characteristic matrix for the decimal coding sequence by utilizing the conventional matrix generation technology.
In order to realize the self-adaptation of the size of the encryption window, the integral randomness of the decimal feature matrix needs to be calculated by utilizing the centrifugation degree, the self-adaptation of the size of the encryption window is carried out by utilizing the random analysis of data in the encryption window by taking the integral randomness as a standard, and the method for acquiring the self-adaptation encryption window comprises the following steps:
(1) Calculating the integral centrifugal degree of the decimal feature matrix
The calculation formula is as follows:
wherein the content of the first and second substances,
for the decimal feature matrix
The number of the individual values is,
and is and
the total number of all values in the decimal feature matrix.
It is noted thatThe logic of the calculation formula is: and calculating the average value of all the numerical values in the decimal feature matrix, and then accumulating the difference value between each numerical value and the average value. The purpose of calculating the average value of all the numerical values is to judge the integral dispersion degree of the decimal feature matrix, then the difference value of each numerical value and the average value is accumulated to show the centrifugation degree of the numerical value, the average value is used as the heart, the single difference value is used as the centrifugation degree of the single numerical value, and then the centrifugation degree is accumulated as the integral
The larger the overall centrifugation degree is, the larger the difference between the data in the decimal feature matrix is, and the more discrete the difference is.
(2) Is initially set up to
A size of the encryption window, traversing on the decimal feature matrix using the encryption window to compute each
Encrypting the first centrifugation degrees of the windows, and further obtaining the difference value between each first centrifugation degree and the whole centrifugation degree
And encrypting the centrifugal degree difference of the decimal feature matrix under the window.
In particular, in the following
An encryption window, for example, of a first degree of decentralization
The calculation method is as follows:
wherein, the first and the second end of the pipe are connected with each other,
is as follows
In an encryption window
The number of the individual values is,
；
is a first
An
And encrypting the window.
J decimal feature matrixes corresponding to the first centrifugal degree can be obtained according to the calculation mode of the first centrifugal degree
Encrypting a first degree of decentralization of the window, then according to J
The first centrifugal degree of the encryption window is different from the integral centrifugal degree of the decimal feature matrix, and the calculation judgment mode is calculation
Centrifugal degree difference value of decimal feature matrix under encryption window
：
(3) And (3) acquiring the centrifugal degree difference values corresponding to the encryption windows with different sizes by using the methods from the step (1) to the step (2), and taking the encryption window with the size corresponding to the minimum centrifugal degree difference value as a target encryption window.
It should be noted that the reason for selecting the minimum centrifugation degree difference is that the first centrifugation degree of each encryption window is closest to the overall centrifugation degree, when encryption is performed on a window of this size, the calculation amount is minimum, and the number of encryption keys can effectively reduce the influence of the key length on the overall data amount.
S003, calculating a characteristic value of the decimal characteristic matrix corresponding to each target encryption window based on each numerical value in the target encryption window, and acquiring a clustering threshold value by combining the characteristic value and the total number of numerical values in the decimal characteristic matrix; and calculating a characteristic value difference value corresponding to any two target encryption windows, and clustering all the target encryption windows based on the characteristic value difference and the clustering threshold value to obtain m clustering results.
Specifically, feature extraction is performed on each target encryption window, and taking the jth target encryption window as an example, the calculation of the feature value of the jth target encryption window is commonly:
wherein the content of the first and second substances,
is as follows
In the target encryption window
The number of the individual values is,
is as follows
The average of all values in the individual target encryption windows,
representing the total number of all values in the target encryption window.
It should be noted that the logic and purpose of the formula for calculating the feature value are: the variance of the whole numerical value in each target encryption window is used as the characteristic value of the target encryption window, because the first centrifugal degree is used for carrying out self-adaptive acquisition on the encryption windows, the average values of elements in each encryption window are basically equal, and then clustering of the target encryption windows is carried out through the variance, the target encryption windows are clustered into the same class, wherein the variances of all the numerical values in the same class are close to each other, and the same encryption key is used for encryption.
Obtaining the characteristic value of each target encryption window by using a calculation formula of the characteristic values, and obtaining a clustering threshold value K based on the characteristic values and the total number of numerical values in the decimal characteristic matrix, wherein the calculation formula of the clustering threshold value K is as follows:
wherein the content of the first and second substances,
is shown as
The value of the characteristic of the individual target encryption windows,
representing the total number of values in the decimal feature matrix,
in order to adjust the parameters of the device,
。
logic of the calculation formula of the clustering threshold K: carrying out overall summation on the characteristic values of each target encryption window, calculating the characteristic of each decimal data through the overall characteristic values to carry out average characteristic distribution, and then carrying out threshold value size adjustment according to an adjustment parameter, wherein the range of the adjustment parameter is 1 to
I.e. the threshold size is chosen to be a variable range, when
When the difference in cluster size is the difference between each class, when
The difference in cluster size is explained as the difference between each class, that is, the characteristic difference between each target encryption window.
Preferably, in the embodiments of the present invention
。
Using clustering thresholds
And clustering all the target encryption windows in a clustering mode that the absolute value of the difference value of the characteristic values between every two target encryption windows is smaller than a clustering threshold value, and then considering that the two target encryption windows belong to the same class of encryption windows, and dividing all the target encryption windows into m clustering results, wherein m is a positive integer.
Step S004, respectively obtaining an encryption matrix corresponding to the clustering result based on the numerical value of each target encryption window in each clustering result, and performing multiplication operation on the numerical value in the encryption matrix and the numerical value in each target encryption window in the corresponding clustering result to form a decimal encryption sequence corresponding to the decimal feature matrix; and converting the decimal encryption sequence into binary encryption codes by using modulo two division for transmission.
Specifically, the encryption matrix corresponding to each clustering result is obtained, and the specific method is as follows: by clustering results
Taking the ith encryption value of the corresponding encryption matrix as an example, the calculation formula of the ith encryption value is as follows:
wherein the content of the first and second substances,
as a result of clustering
To middle
The ith value of the target encryption window;
as a result of clustering
Corresponding to the ith encryption value in the encryption matrix,
as a result of clustering
The number of target encryption windows in (1).
Obtaining clustering result based on calculation formula of encrypted value
And obtaining the encryption matrix of each clustering result in the same way. And finally, performing multiplication operation on the numerical value in each encryption matrix and the numerical value at the corresponding position in each target encryption window in the corresponding clustering result respectively, forming a decimal encryption sequence corresponding to the decimal characteristic matrix by the calculation result, converting the decimal encryption sequence into a binary encryption code by a modulo two division method, and transmitting the binary encryption code.
It should be noted that since the encryption matrix and the target encryption window are the same size, performing the multiplication does not change the encrypted data structure.
In summary, the embodiment of the present invention provides a method for safely transmitting data, in which data to be transmitted is converted into a binary coding sequence, and the binary coding sequence is converted into a decimal coding sequence, so as to obtain a decimal feature matrix; acquiring target encryption windows of the decimal feature matrix based on the integral centrifugation degree of the decimal feature matrix and first centrifugation degrees under encryption windows of different sizes, acquiring a clustering threshold value according to a feature value of the target encryption windows, dividing all the target encryption windows into a plurality of clustering results based on the clustering threshold value and the feature value, acquiring an encryption matrix of each clustering result according to a numerical value in the target encryption windows, and acquiring a decimal encryption sequence corresponding to the decimal feature matrix according to the encryption matrix; and converting the decimal encryption sequence into binary encryption codes by using a modulo two division method for transmission. The invention utilizes the random characteristic to carry out the self-adaptive acquisition of the encryption window, thereby improving the safety of data transmission.
It should be noted that: the sequence of the above embodiments of the present invention is only for description, and does not represent the advantages or disadvantages of the embodiments. And specific embodiments thereof have been described above. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit of the present invention are intended to be included therein.
Claims (6)
1. A method for secure transmission of data, the method comprising the steps of:
carrying out binary coding on data to be transmitted by utilizing a conventional binary compression coding technology to obtain a binary coding sequence;
converting the binary coding sequence into a decimal coding sequence to obtain a decimal feature matrix; calculating the integral centrifugation degree based on each numerical value of the decimal feature matrix, setting an encryption window, traversing on the decimal feature matrix by using the encryption window to calculate the first centrifugation degree of each encryption window, and adding the difference value between each first centrifugation degree and the integral centrifugation degree to obtain the centrifugation degree difference value of the decimal feature matrix under the encryption window;
acquiring the centrifugal degree difference values corresponding to the encryption windows with different sizes, and taking the encryption window corresponding to the minimum centrifugal degree difference value as a target encryption window;
calculating the characteristic value of the decimal characteristic matrix corresponding to each target encryption window based on each numerical value in the target encryption window, and obtaining a clustering threshold value by combining the characteristic value and the total number of numerical values in the decimal characteristic matrix; calculating a characteristic value difference value corresponding to any two target encryption windows, and clustering all the target encryption windows based on the characteristic value difference and the clustering threshold value to obtain m clustering results, wherein m is a positive integer;
respectively obtaining an encryption matrix of a corresponding clustering result based on the numerical value of each target encryption window in each clustering result, and performing multiplication operation on the numerical value in the encryption matrix and the numerical value in each target encryption window in the corresponding clustering result to form a decimal encryption sequence; and converting the decimal encryption sequence into binary encryption codes by using a modulo two division method for transmission.
2. The method for securely transmitting data according to claim 1, wherein the method for acquiring the overall centrifugation degree comprises:
and calculating a numerical variance according to each numerical value in the decimal feature matrix, and taking the numerical variance as the integral centrifugation degree.
3. The method for securely transmitting data according to claim 1, wherein the method for acquiring the first centrifugal degree comprises:
and calculating a numerical variance according to each numerical value in the encryption window, and taking the numerical variance as the first centrifugation degree.
4. The method for securely transmitting data according to claim 1, wherein the method for obtaining the characteristic value comprises:
calculating the value average of all the values in the target encryption window, squaring the difference value between each value and the value average, and taking the ratio of the square result to the number of the values in the target encryption window as the characteristic value of the corresponding target encryption window.
5. The method for securely transmitting data according to claim 1, wherein the method for obtaining the clustering threshold comprises:
accumulating the characteristic values of all the target encryption windows to obtain a characteristic value accumulated value, obtaining a ratio of the characteristic value accumulated value to the total number of the numerical values in the decimal characteristic matrix, and optimizing the value by utilizing an adjusting parameter to obtain the clustering threshold value.
6. The method for securely transmitting data according to claim 1, wherein the method for obtaining the encryption matrix comprises:
for clustering results
Carrying out average value calculation on the ith number value of each target encryption window, and forming a clustering result by all average values
The encryption matrix of (2).
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| CN115567329A (en) * | 2022-12-06 | 2023-01-03 | 互丰科技(北京)有限公司 | Data security encryption method for network information |
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Denomination of invention: A Secure Data Transmission Method Granted publication date: 20230314 Pledgee: Zhejiang Hangzhou Yuhang Rural Commercial Bank Co.,Ltd. Science and Technology City Branch Pledgor: Zhejiang Yu'an Information Technology Co.,Ltd. Registration number: Y2024980010210 |
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