CN109640095A - A kind of video encryption system of binding capacity quantum key distribution - Google Patents
A kind of video encryption system of binding capacity quantum key distribution Download PDFInfo
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- CN109640095A CN109640095A CN201811629775.XA CN201811629775A CN109640095A CN 109640095 A CN109640095 A CN 109640095A CN 201811629775 A CN201811629775 A CN 201811629775A CN 109640095 A CN109640095 A CN 109640095A
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- 230000006835 compression Effects 0.000 claims description 31
- 238000007906 compression Methods 0.000 claims description 31
- 230000006837 decompression Effects 0.000 claims description 4
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- 210000004218 nerve net Anatomy 0.000 claims 5
- 238000005516 engineering process Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 7
- 238000000034 method Methods 0.000 description 7
- 238000012549 training Methods 0.000 description 6
- 230000008901 benefit Effects 0.000 description 3
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- 230000009286 beneficial effect Effects 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
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- 230000001815 facial effect Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/46—Embedding additional information in the video signal during the compression process
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
- H04N21/2347—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving video stream encryption
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
- H04N21/26613—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel for generating or managing keys in general
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- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
Present disclose provides a kind of video encryption systems of binding capacity quantum key distribution, comprising: quantum key distribution subsystem, for passing through quantum channel conveying capacity sub-key；Video-encryption subsystem, comprising: transmitting terminal, depth code stream domain is decomposed and coding, the depth code stream domain after being encoded disclose the depth code stream domain encryption code stream after code stream and coding for carrying out to original video；Using quantum key to after coding depth code stream domain encrypted code stream carry out quantum cryptography, and by the depth code stream domain after coding disclose code stream, quantum cryptography coding depth code stream domain encryption code stream be sent to receiving end；Receiving end, the coding depth code stream domain that code stream and quantum cryptography are disclosed for merging the depth code stream domain after encoding encrypts code stream, obtains the coding depth characteristic code flow of quantum cryptography, decodes the coding depth characteristic code flow of quantum cryptography, the depth characteristic code stream of quantum cryptography is obtained, encrypted video is generated.
Description
Technical field
This disclosure relates to field of information security technology more particularly to a kind of video-encryption system of binding capacity quantum key distribution
System.
Background technique
The widely used means that ensure information safety at present are modern cryptographic techniques, are segmented into three parts: algorithm,
Agreement, key.In modern cryptographic technique, algorithm and agreement are all can be disclosed, all secrets are all contained among key.Cause
This, ensures that the safety of key distribution is the key that ensure communication security with cryptographic technique.Since quantum has the randomness of measurement
With irreproducible characteristic, therefore quantum key distribution have theoretic Unconditional security.That is, anyone carries out
Eavesdropping, even with quantum computer, can not crack quantum key distribution, steal key.In this way, using quantum key point
Hair technology can help to realize the unconditional security of confidentiality in communication security, authenticity and integrity, guarantee communication encryption without
Method is decoded, and guarantees that other side's identity is true and reliable, guarantees that information can not be tampered.
Quantum key distribution can accomplish 404 kilometers in the farthest safe distance of optical fiber, and " Mo-tse number " also can accomplish star
Commercialization is successfully realized on 1200 kilometers of ground.Quantum key distribution technology has been widely used advanced in needs at present
Not safe field.Although the code rate (at code rate) that quantum key generates is also relatively low, at present highest using landing
At code rate 100 kilometers or so be only 3-10kbits per second.And the resolution ratio of the most common network cameras is 720P in recent years
(1280*720), original video code rate is in 632.8Mbits.That is if based on current quantum key distribution technology to point
Resolution is that the video of 720P carries out the encryption of one-time pad rank, needs to encrypt the minus 5 power magnitude that ratio reaches 10, that is, encrypts
Content code rate account for the 10 of original video code rate-5。
Video-encryption scheme more mature at present is the selection encipherment scheme based on area-of-interest, that is, utilizes video pressure
After contracting technology is compressed, code stream domain upon compression, selection thinks that the region comprising important privacy information is encrypted.At present
Newest video compression standard HEVC is used to carry out compressed code rate to the video of 720P as 8000kbps or so, it is assumed that sense is emerging
Interesting region accounts for 1/10th or so of entire picture, then the content code rate for needing to encrypt accounts about the 10 of original video code rate-3。
Therefore, if implementing this video-encryption scheme based on quantum key distribution, 100 close encrypted code rates that are just able to satisfy are needed
Demand, but the risk that key is cracked simultaneously also greatly increases.
Summary of the invention
(1) technical problems to be solved
It in order to solve problem above, can the present disclosure proposes a kind of video encryption system of binding capacity quantum key distribution
It is significantly reduced the length of the plaintext for needing to encrypt, under conditions of quantum key distribution is 3-10kbits per second at code rate, is realized
One-time pad encryption to video content.
(2) technical solution
Present disclose provides a kind of video encryption systems of binding capacity quantum key distribution, comprising: quantum key distribution subsystem
System, for passing through quantum channel conveying capacity sub-key；Video-encryption subsystem, comprising: transmitting terminal, for being carried out to original video
Depth code stream domain is decomposed and coding, and the depth code stream domain after the depth code stream domain after being encoded discloses code stream and encodes adds
Password stream；Quantum cryptography is carried out to the depth code stream domain encrypted code stream after coding using quantum key, and by the depth after coding
Code stream domain discloses code stream, the coding depth code stream domain encryption code stream of quantum cryptography is sent to receiving end；Receiving end is compiled for merging
Depth code stream domain after code discloses the coding depth code stream domain encryption code stream of code stream and quantum cryptography, obtains the coding of quantum cryptography
Depth characteristic code stream decodes the coding depth characteristic code flow of quantum cryptography, obtains the depth characteristic code stream of quantum cryptography, generates and adds
Close video.
In some embodiments of the present disclosure, the transmitting terminal is also used to carry out spatial domain decomposition to original video, obtains
Encryption section and non-encrypted region, compress non-encrypted region, obtain compression space domain and disclose code stream, to encryption section into
Row depth code stream domain is decomposed and coding；Compression space domain is also disclosed into code stream and is sent to receiving end together；The receiving end is also
For disclosing code stream decompression to compression space domain, obtains spatial domain and disclose code stream, spatial domain is also disclosed into code stream and quantum cryptography
Depth characteristic code stream merge, generate encrypted video.
In some embodiments of the present disclosure, the receiving end is using quantum key to the coding depth code stream of quantum cryptography
Domain encrypts code stream decryption, and the depth code stream domain encryption code stream after the depth code stream domain after coding to be disclosed to code stream, coding merges, and obtains
To coding depth characteristic code flow, and coding depth characteristic code flow is decoded, obtain depth characteristic code stream, generated and rebuild video.
In some embodiments of the present disclosure, the receiving end is using quantum key to the coding depth code stream of quantum cryptography
Domain encrypts code stream decryption, and the depth code stream domain encryption code stream after the depth code stream domain after coding to be disclosed to code stream, coding merges, and obtains
To coding depth characteristic code flow, and coding depth characteristic code flow is decoded, obtains depth characteristic code stream, and spatial domain is disclosed into code stream
Merge with depth characteristic code stream, generates and rebuild video.
In some embodiments of the present disclosure, the transmitting terminal includes: the encoder based on deep neural network, for pair
Original video carries out depth code stream domain and decomposes and encode；The receiving end includes: the decoder based on deep neural network,
For decoding the coding depth characteristic code flow of quantum cryptography.
In some embodiments of the present disclosure, the transmitting terminal includes: the encoder based on deep neural network, for pair
Original video carries out depth code stream domain and decomposes and encode；The receiving end includes: the decoder based on deep neural network,
For decoding coding depth characteristic code flow.
In some embodiments of the present disclosure, the transmitting terminal includes: the encoder based on deep neural network, for pair
Encryption section carries out depth code stream domain and decomposes and encode；The receiving end includes: the decoder based on deep neural network,
For decoding the coding depth characteristic code flow of quantum cryptography.
In some embodiments of the present disclosure, the transmitting terminal includes: the encoder based on deep neural network, for pair
Encryption section carries out depth code stream domain and decomposes and encode；The receiving end includes: the decoder based on deep neural network,
For decoding coding depth characteristic code flow.
In some embodiments of the present disclosure, the neural network encoder and neural network decoder are full convolution net
Network.
In some embodiments of the present disclosure, the compression space domain discloses the depth code stream domain after code stream, coding and discloses
Code stream, quantum cryptography coding depth code stream domain encrypted code stream transmitted by fiber channel.
(3) beneficial effect
It can be seen from the above technical proposal that the disclosure at least has the advantages that
Video encryption system use deep neural network compression of images Encryption Algorithm, and with quantum key distribution technology knot
It closes, forms complete video-encryption system, greatly reduce encrypted content and encryption ratio.
Detailed description of the invention
Fig. 1 is the network structure of the compression of images encryption subsystem based on deep neural network.
Fig. 2 is the structural schematic diagram of the video encryption system of the binding capacity quantum key distribution of the embodiment of the present disclosure.
Fig. 3 shows effect of the compression of images Encryption Algorithm in facial image based on deep neural network.
Specific embodiment
Present disclose provides a kind of video encryption systems of binding capacity quantum key distribution, in order to reduce the content of encryption, depending on
Frequency encryption system includes the compression of images Encryption Algorithm based on deep neural network, by the algorithm and quantum key distribution technology knot
It closes, forms complete video encryption system.The disclosure needs very small encryption ratio, by taking 720P video as an example, encryption it is interior
Hold code rate and accounts for the 10 of original video code rate-5When just can be carried out the encryption of one-time pad rank.
For the purposes, technical schemes and advantages that the disclosure is described in further detail, below in conjunction with specific implementation example, to this
It is open to be further described.
As deep learning algorithm is more and more mature, the image compression scheme based on deep neural network is also quickly grown,
Amount of compressed data and generation quality have reached the compression scheme of the codec of even more than common some images.With this
Meanwhile the image compression algorithm based on deep neural network has a natural advantage, since neural network is using after gradient
Parameter renewal learning is carried out to the mode of propagation, the distribution of compressed bit stream can be changed in such a way that loss function constrains.
It is encrypted in this way, important privacy information is tied in sub-fraction code stream by algorithm, so that it may reach to whole picture figure
The cipher round results of picture.
The embodiment of the present disclosure provides a kind of video encryption system of binding capacity quantum key distribution, referring to fig. 2, comprising:
Quantum key distribution subsystem, for passing through quantum channel conveying capacity sub-key.
Video-encryption subsystem, including transmitting terminal and the neural network encoder positioned at transmitting terminal, receiving end and positioned at connecing
The neural network decoder of receiving end；Wherein neural network encoder and neural network decoder use neural network shown in FIG. 1
Encoder and neural network decoder.
Transmitting terminal is used to original video being divided into encryption section and non-encrypted region, and compresses to non-encrypted region,
It obtains compression space domain and discloses code stream.
Neural network encoder is used to encryption section being converted to depth characteristic code stream, and depth characteristic code stream is decomposed into public affairs
Code stream and encryption code stream are opened, depth code stream domain is obtained and discloses code stream and encryption code stream.Neural network encoder is also to depth code stream
Domain discloses code stream and encrypted code stream is encoded, and the depth code stream domain after being encoded discloses the depth code stream after code stream and coding
Domain encrypts code stream.
Transmitting terminal also carries out quantum cryptography to the depth code stream domain encrypted code stream after coding using quantum key, and will compression
Spatial domain discloses the coding depth code stream domain encryption code stream hair that the depth code stream domain after code stream, coding discloses code stream, quantum cryptography
It send to receiving end.
Receiving end is used to disclose in the depth code stream domain after coding the coding depth code stream domain encrypted code of code stream, quantum cryptography
Stream merges, and obtains the coding depth characteristic code flow of quantum cryptography, and compression space domain is disclosed code stream decompression, obtains space
Domain discloses code stream.
Neural network decoder is used to decode the coding depth characteristic code flow of quantum cryptography, and the depth for obtaining quantum cryptography is special
Levy code stream.
Receiving end is also used to disclose spatial domain code stream and the depth characteristic code stream of quantum cryptography merges, and generates encryption view
Frequently.
The video encryption system of the present embodiment, neural network encoder and neural network decoder composition therein is based on deep
Spend the compression of images encryption subsystem of neural network.Fig. 1 is the net of the compression of images encryption subsystem based on deep neural network
Network structure chart, the following specifically describes its compression of images Encryption Algorithm.
Compression of images encryption system includes: neural network encoder and neural network decoder.
Original image inputs neural network encoder, and neural network encoder encodes original image, compressed
Depth characteristic code stream.
Depth characteristic code stream is divided into two parts: encryption code stream (pith) and disclosure code stream (secondary part).In order to
Encryption ratio is set to be down to very little, pith only accounts for the very little ratio of depth characteristic code stream, and pith contains original image
Important privacy information, pith encryption can be played and encrypt the effect of entire original image.Open code stream input nerve
Network decoder, the restoration and reconstruction image after the decoding of neural network decoder.Code stream input decoder is encrypted, through neural network solution
Encrypted image is generated after code device decoding.
Encryption code stream and open code stream after decomposition were learnt in the training stage of deep neural network.Depth mind
Training through network is end-to-end progress, i.e. point of neural network encoder, neural network decoder and depth characteristic code stream
Solution, which is all combined, to be trained.In the training process, can be different different with encryption requirements according to the definition to privacy, it determines
Corresponding loss function, to constrain the privacy information of pith in percentage regulation characteristic code flow.
As shown in Fig. 2, quantum key distribution subsystem also includes: transmitting terminal and receiving end.Transmitting terminal is for generating quantum
Key, and quantum key is sent to receiving end by quantum channel.Quantum key distribution is using BB84 agreement, transmitting terminal
Quantum channel and classical channel are provided between receiving end.Transmitting terminal is randomly choosed from the four of photon kinds of polarization states first,
Receiving end is sent to by quantum channel.Receiving end, which compares and retained in classical channel, has used same measurement base with transmitting terminal
Quantum bit position.In the case where channel safety, the data of transmitting terminal and receiving end should be not no disagreement.It steals if it exists
It listens, then the data of transmitting terminal and receiving end will appear different parts.If not eavesdropping, transmitting terminal and receiving end will be retained
The remaining bit come is as final key.
The video encryption system of the present embodiment use two-stage decomposing scheme: image space domain decompose and depth code stream domain into
Row decomposes.
It is decomposed first in image space domain, the region for needing to encrypt in original image is determined according to encryption requirements.So
It is decomposed afterwards in depth code stream domain, encryption section is input to the volume of the compression of images encryption system based on deep neural network
In code device, depth characteristic code stream is generated, and depth characteristic code stream is decomposed into open code stream and encryption code stream.By image space
The two-stage in domain and depth code stream domain is decomposed, and the content code stream that the minimum needs of accounting encrypt can be extracted.
The transmitting terminal of video-encryption subsystem can be used classical video compression algorithm and compress to non-encrypted region, obtain
To compression space domain, code stream is disclosed.
Compression space domain disclose the depth code stream domain after code stream and coding code stream is disclosed can be directly by fiber channel etc.
Conventional channel is transmitted.Depth code stream domain encryption code stream after coding then needs to carry out encrypting it using the quantum key of generation
It is transmitted again afterwards.
In another example of the present embodiment, receiving end is first with quantum key to the coding depth code of quantum cryptography
Basin encrypts code stream decryption, and the depth code stream domain then the depth code stream domain after coding to be disclosed to code stream, coding after encrypts code stream
It merges, obtains coding depth characteristic code flow, and compression space domain is disclosed into code stream decompression, obtain spatial domain and disclose code stream.
Neural network decoder decodes coding depth characteristic code flow, obtains depth characteristic code stream.
Spatial domain is also disclosed code stream for receiving end and depth characteristic code stream merges, and the reconstruction for completing original video generates.
Two-stage decomposing scheme described above can Bu Tong being adjusted according to encryption requirements and task.If entire video adds
The security level of close system is all very high, and the present embodiment can also be decomposed without image space domain, only carries out depth code stream domain
It decomposes, to improve the safety of video encryption system.
In this implementation, original video is converted to depth characteristic code stream by neural network encoder, by depth spy
Sign code stream is decomposed into open code stream and encryption code stream, obtains depth code stream domain and discloses code stream and encryption code stream.Neural network coding
Device also discloses code stream to depth code stream domain and encrypted code stream encodes, and the depth code stream domain after being encoded discloses code stream and volume
Depth code stream domain after code encrypts code stream.
Transmitting terminal also carries out quantum cryptography to the depth code stream domain encrypted code stream after coding using quantum key, and will coding
Depth code stream domain afterwards discloses code stream, the coding depth code stream domain encryption code stream of quantum cryptography is sent to receiving end.
Depth code stream domain after coding is disclosed code stream by receiving end, the coding depth code stream domain encrypted code of quantum cryptography flows into
Row merges, and obtains the coding depth characteristic code flow of quantum cryptography.
Neural network decoder is used to decode the coding depth characteristic code flow of quantum cryptography, and the depth for obtaining quantum cryptography is special
Code stream is levied, encrypted video is generated.
In another example, receiving end is first with quantum key to the coding depth code stream domain encrypted code of quantum cryptography
Stream decryption, the depth code stream domain encrypted code stream then the depth code stream domain after coding to be disclosed to code stream, coding after are merged, are obtained
To coding depth characteristic code flow.Neural network decoder decodes coding depth characteristic code flow, obtains depth characteristic code stream, completes former
The reconstruction of beginning video generates.
The disclosure is illustrated below by way of a specific example.
The structure of neural network encoder is full convolutional network, the convolutional layer for being 2 comprising four layers of step-length, for reducing centre
The size of the characteristic pattern of output.Have three layers of residual error convolution module among every two layers of convolutional layer, residual error convolution module can by across
The richer detailed information of the data acquisition of layer, the reconstruction that these detailed information can preferably carry out image restore.Similarly, refreshing
Structure through network decoder is also full convolutional network, the inverse convolutional layer for being 2 comprising four layers of step-length, for increasing intermediate output
The size of characteristic pattern.Every two layers against having three layers of residual error convolution module among convolutional layer, for preferably restoring detailed information.Because
The encoder and decoder of neural network are full convolutional network, therefore can input the picture of arbitrary size.
For 720P video, resolution sizes 1280*720.Assuming that the image for needing to encrypt in a video frame point
Resolution size can obtain the code stream of 16*16*64*8bit by above-mentioned neural network encoder for 256*256, grasp by quantization
Make, obtains the code stream of 16*16*64bit.
Code stream is decomposed, wherein disclosing code stream is 16*16*63bit, encryption code stream is 16*16bit.It needs at this time
The data of encryption are the 10 of initial data-5, reached quantum key distribution into the requirement of code rate.
The compression for disclosing code stream for spatial domain is compressed using newest video compression standard HEVC, can be compressed to original
The 10 of beginning video data-2。
In terms of training constraint, this example uses a kind of the way of restraint of associated losses function, associated losses function packet
Containing two loss functions.The distribution distance of reconstruction image and original image in one constraints graph 1 of loss function minimizes reconstruction image
Mean square error with original image is apart from (Mean Square Error), so that the pixel distance of the two is the smaller the better；Lose letter
The distribution distance of encrypted image and original image in several two constraints graphs 1, so that the distribution distance of encrypted image and original image is got over
Big better, which carries out constrained learning by the way of a kind of Cooperative Study.The application defines an arbiter
For differentiating encrypted image at a distance from original image.The arbiter includes three-layer coil lamination and two layers of full articulamentum, encryption figure
Picture or original image input arbiter, and arbiter exports a scalar value.Be divided into two stages in training process, generation phase and
Differentiation stage, two stages pass through neural network encoder, neural network decoder and arbiter, unlike, it generates
Stage only updates the network parameter of neural network encoder and neural network decoder, and the differentiation stage only updates the network of arbiter
Parameter.Two stages, that is, arbiter was when inputting original image, the scalar value of output using identical collaboration loss function
As close possible to 1, for arbiter when inputting encrypted image, the scalar value of output is as close possible to 0.The collaboration instruction that the application proposes
White silk is a kind of mode of effective distribution distance for maximizing two pictures.
Fig. 3 is to utilize this result for constraining in and being tested on facial image.It can be seen that encrypted image is seen not completely
The information of original image out has also shown that this decomposition-training mode is effectively tied by carrying out attack analysis to encrypted result
By.
So far, attached drawing is had been combined the disclosure is described in detail.According to above description, those skilled in the art are answered
When having clear understanding to the disclosure.
It should be noted that in attached drawing or specification text, the implementation for not being painted or describing is affiliated technology
Form known to a person of ordinary skill in the art, is not described in detail in field.In addition, the above-mentioned definition to each element and not only limiting
Various specific structures, shape or the mode mentioned in embodiment, those of ordinary skill in the art can carry out simply more it
Change or replaces, such as:
(1) direction term mentioned in embodiment, such as "upper", "lower", "front", "rear", "left", "right" etc. are only ginsengs
The direction of attached drawing is examined, not is used to limit the protection scope of the disclosure；
(2) above-described embodiment can be based on the considerations of design and reliability, and the collocation that is mixed with each other uses or and other embodiments
Mix and match uses, i.e., the technical characteristic in different embodiments can freely form more embodiments.
Particular embodiments described above has carried out further in detail the purpose of the disclosure, technical scheme and beneficial effects
Describe in detail it is bright, it is all it should be understood that be not limited to the disclosure the foregoing is merely the specific embodiment of the disclosure
Within the spirit and principle of the disclosure, any modification, equivalent substitution, improvement and etc. done should be included in the guarantor of the disclosure
Within the scope of shield.
Claims (10)
1. a kind of video encryption system of binding capacity quantum key distribution, wherein include:
Quantum key distribution subsystem, for passing through quantum channel conveying capacity sub-key；
Video-encryption subsystem, comprising:
Transmitting terminal, for carrying out to original video, depth code stream domain is decomposed and coding, the depth code stream domain after being encoded are public
Depth code stream domain encryption code stream after opening code stream and coding；The depth code stream domain encrypted code after coding is flowed into using quantum key
Row quantum cryptography, and by the depth code stream domain after coding disclose code stream, quantum cryptography coding depth code stream domain encryption code stream hair
It send to receiving end；
Receiving end discloses the coding depth code stream domain encrypted code of code stream and quantum cryptography for merging the depth code stream domain after encoding
Stream, obtains the coding depth characteristic code flow of quantum cryptography, decodes the coding depth characteristic code flow of quantum cryptography, obtain quantum cryptography
Depth characteristic code stream, generate encrypted video.
2. video encryption system as described in claim 1, wherein
The transmitting terminal is also used to carry out spatial domain decomposition to original video, obtains encryption section and non-encrypted region, adds to non-
Close region is compressed, and is obtained compression space domain and is disclosed code stream, is carried out depth code stream domain to encryption section and is decomposed and encode；
Compression space domain is also disclosed into code stream and is sent to receiving end together；
The receiving end is also used to disclose compression space domain code stream decompression, obtains spatial domain and discloses code stream, also by spatial domain public affairs
The depth characteristic code stream for opening code stream and quantum cryptography merges, and generates encrypted video.
3. video encryption system as described in claim 1, wherein
The receiving end is decrypted using coding depth code stream domain encryption code stream of the quantum key to quantum cryptography, by the depth after coding
Degree code stream domain discloses the depth code stream domain encryption code stream merging after code stream, coding, obtains coding depth characteristic code flow, and decode volume
Code depth characteristic code stream, obtains depth characteristic code stream, generates and rebuilds video.
4. video encryption system as claimed in claim 2, wherein
The receiving end is decrypted using coding depth code stream domain encryption code stream of the quantum key to quantum cryptography, by the depth after coding
Degree code stream domain discloses the depth code stream domain encryption code stream merging after code stream, coding, obtains coding depth characteristic code flow, and decode volume
Code depth characteristic code stream obtains depth characteristic code stream, and spatial domain is disclosed code stream and the merging of depth characteristic code stream, generates and rebuilds
Video.
5. video encryption system as described in claim 1, wherein the transmitting terminal includes: the volume based on deep neural network
Code device is decomposed and is encoded for carrying out depth code stream domain to original video；The receiving end includes: based on depth nerve net
The decoder of network, for decoding the coding depth characteristic code flow of quantum cryptography.
6. video encryption system as claimed in claim 3, wherein the transmitting terminal includes: the volume based on deep neural network
Code device is decomposed and is encoded for carrying out depth code stream domain to original video；The receiving end includes: based on depth nerve net
The decoder of network, for decoding coding depth characteristic code flow.
7. video encryption system as claimed in claim 2, wherein the transmitting terminal includes: the volume based on deep neural network
Code device is decomposed and is encoded for carrying out depth code stream domain to encryption section；The receiving end includes: based on depth nerve net
The decoder of network, for decoding the coding depth characteristic code flow of quantum cryptography.
8. video encryption system as claimed in claim 4, wherein the transmitting terminal includes: the volume based on deep neural network
Code device is decomposed and is encoded for carrying out depth code stream domain to encryption section；The receiving end includes: based on depth nerve net
The decoder of network, for decoding coding depth characteristic code flow.
9. such as the described in any item video encryption systems of claim 5 to 8, wherein the neural network encoder and nerve net
Network decoder is full convolutional network.
10. video encryption system as described in claim 3 or 4, wherein after the compression space domain discloses code stream, coding
Depth code stream domain discloses code stream, the coding depth code stream domain encrypted code stream of quantum cryptography is transmitted by fiber channel；
Using associated losses function the way of restraint constraint reestablishing video and original video distribution distance and encrypted video with
The distribution distance of original video.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110086815A (en) * | 2019-04-30 | 2019-08-02 | 华南理工大学 | AR video stream media retransmission method, device based on asymmetric quantum cryptography |
| CN110647765A (en) * | 2019-09-19 | 2020-01-03 | 济南大学 | Privacy protection method and system based on knowledge migration under collaborative learning framework |
| CN111082938A (en) * | 2020-03-25 | 2020-04-28 | 北京中创为南京量子通信技术有限公司 | Method and device for improving quantum key distribution system code rate |
| CN111093060A (en) * | 2019-12-20 | 2020-05-01 | 安徽问天量子科技股份有限公司 | Protection device and protection method for video data acquisition and transmission safety |
| CN112183757A (en) * | 2019-07-04 | 2021-01-05 | 创新先进技术有限公司 | Model training method, device and system |
| CN114615499A (en) * | 2022-05-07 | 2022-06-10 | 北京邮电大学 | Semantic optical communication system and method for image transmission |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105956992A (en) * | 2016-05-23 | 2016-09-21 | 温文媖 | Significance area protection method based on encryption image with visual meaning |
| CN106850185A (en) * | 2016-12-28 | 2017-06-13 | 清华大学 | A kind of method and system for being encrypted communication |
| CN107046646A (en) * | 2016-12-30 | 2017-08-15 | 上海寒武纪信息科技有限公司 | Video encoding/decoding apparatus and method based on depth autocoder |
| CN207234973U (en) * | 2017-09-01 | 2018-04-13 | 河南腾龙信息工程有限公司 | Video conferencing system based on quantum cryptography |
| CN108924099A (en) * | 2018-06-15 | 2018-11-30 | 清华大学深圳研究生院 | encryption method, encryption device, encryption performance analysis method and device |
-
2018
- 2018-12-28 CN CN201811629775.XA patent/CN109640095B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105956992A (en) * | 2016-05-23 | 2016-09-21 | 温文媖 | Significance area protection method based on encryption image with visual meaning |
| CN106850185A (en) * | 2016-12-28 | 2017-06-13 | 清华大学 | A kind of method and system for being encrypted communication |
| CN107046646A (en) * | 2016-12-30 | 2017-08-15 | 上海寒武纪信息科技有限公司 | Video encoding/decoding apparatus and method based on depth autocoder |
| CN207234973U (en) * | 2017-09-01 | 2018-04-13 | 河南腾龙信息工程有限公司 | Video conferencing system based on quantum cryptography |
| CN108924099A (en) * | 2018-06-15 | 2018-11-30 | 清华大学深圳研究生院 | encryption method, encryption device, encryption performance analysis method and device |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110086815A (en) * | 2019-04-30 | 2019-08-02 | 华南理工大学 | AR video stream media retransmission method, device based on asymmetric quantum cryptography |
| CN112183757A (en) * | 2019-07-04 | 2021-01-05 | 创新先进技术有限公司 | Model training method, device and system |
| CN112183757B (en) * | 2019-07-04 | 2023-10-27 | 创新先进技术有限公司 | Model training method, device and system |
| CN110647765A (en) * | 2019-09-19 | 2020-01-03 | 济南大学 | Privacy protection method and system based on knowledge migration under collaborative learning framework |
| CN111093060A (en) * | 2019-12-20 | 2020-05-01 | 安徽问天量子科技股份有限公司 | Protection device and protection method for video data acquisition and transmission safety |
| CN111082938A (en) * | 2020-03-25 | 2020-04-28 | 北京中创为南京量子通信技术有限公司 | Method and device for improving quantum key distribution system code rate |
| CN114615499A (en) * | 2022-05-07 | 2022-06-10 | 北京邮电大学 | Semantic optical communication system and method for image transmission |
| CN114615499B (en) * | 2022-05-07 | 2022-09-16 | 北京邮电大学 | Semantic optical communication system and method for image transmission |
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