CN110505047A - A kind of double-encryption algorithm for iris feature protection - Google Patents
A kind of double-encryption algorithm for iris feature protection Download PDFInfo
- Publication number
- CN110505047A CN110505047A CN201910751345.3A CN201910751345A CN110505047A CN 110505047 A CN110505047 A CN 110505047A CN 201910751345 A CN201910751345 A CN 201910751345A CN 110505047 A CN110505047 A CN 110505047A
- Authority
- CN
- China
- Prior art keywords
- feature
- algorithm
- encryption
- iris
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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
- H04L9/001—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using chaotic signals
-
- 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
- H04L9/002—Countermeasures against attacks on cryptographic mechanisms
-
- 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
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3226—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
- H04L9/3231—Biological data, e.g. fingerprint, voice or retina
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Collating Specific Patterns (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a kind of double-encryption algorithm for iris feature protection, the specific steps realized are as follows: the chaotic key sequence of iris region Feature Mapping is used for using chaotic function building；First re-diffusion Encryption Algorithm；Second re-diffusion Encryption Algorithm；Parameter value imports reverse decryption iris region.Algorithm of the invention has fully considered the characteristic high with redundancy that contain much information of iris region, is mapped using chaos system iris region feature；Double-encryption is carried out to chaotic key sequence using dual diffusion system simultaneously; greatly enhance timeliness and safety of the iris feature information in network transmission; individual privacy and information security are protected, the application especially suitable for modernization biological property in places such as production, life, business and high-end secrets.
Description
Technical field:
The present invention relates to Encryption Algorithm field, specially a kind of double-encryption algorithm for iris feature protection.
Background technique:
With becoming increasingly popular for internet concept, personal information security is become more and more important.Biological identification technology is logical
The analysis mankind intrinsic physiology or behavioural characteristic are crossed to protect the important way of personal information.The biological property of human body mainly wraps
Fingerprint is included, face, iris, sound, gait, signature etc..In recent years, it is obtained using fingerprint and face as the biological identification technology of representative
It is widely applied.In public safety field, but there are still some limitations in application process, the uniqueness of iris recognition and
Stability compensates for these deficiencies.
In many cases, iris may be the bio-identification function that can uniquely identify identity.A series of international research
Show that iris recognition is current most safe, most accurate recognition methods.With fingerprint error rate 0.8%, face error rate about 2%
It compares, iris error rate can be down to 1%.Omnipotent iris function is the highest level of current biological identification technology.Academia and quotient
Increasingly pay attention to the identity recognizing technology extracted based on iris feature in boundary.Iris recognition is gradually applied to high safety performance
Certain departments, such as banking system and release mechanism and the more demanding environment of some pairs of authentications.Iris recognition safety
Property raising to maintenance society and financial security play an important role.
In network transmission process, due to the insecurity of iris image information, malicious attacker has an opportunity to reveal or break
Bad original image information.Since iris image is unique and immutable, once iris image is stolen, our privacy letter
There may be the risks disclosed for a long time for breath.It is arranged in face of the malicious sabotage of iris image information and the clumsiness of victim's personal information
Diction, the means for improving iris image safety are still problem in the urgent need to address.
Summary of the invention:
The purpose of the present invention is in view of the drawbacks of the prior art, provide a kind of double-encryption calculation for iris feature protection
Method, to solve the problems, such as that above-mentioned background technique proposes.
To achieve the above object, the invention provides the following technical scheme: a kind of double-encryption for iris feature protection
Algorithm, comprising the following steps:
Step (1): the chaotic key sequence of iris region Feature Mapping is used for using chaotic function building；
Step (2): the first re-diffusion Encryption Algorithm；
Step (3): the second re-diffusion Encryption Algorithm；
Step (4): parameter value imports reverse decryption iris region.
As a preferred technical solution of the present invention, utilize chaotic function building for iris in the step (1)
The chaotic function feature of the chaotic key sequence of provincial characteristics mapping are as follows:
Feature (1a): sensitive to primary condition；
Feature (1b): must be Topologically mixing structure；
Feature (1c): at least one intensive periodic orbit.
As a preferred technical solution of the present invention, the master of the spread spectrum encryption in the step (2) and the step (3)
Algorithm steps are wanted to be divided into:
Step (2a): scramble information is carried out to plaintext by common scrambling algorithm；
Step (2b): calculating is diffused to image pixel by common broadcast algorithm.
Spread spectrum encrypted feature as a preferred technical solution of the present invention, in the step (2) and the step (3)
Are as follows:
Assuming that the pixel sequence for the original plaintext image to be encrypted by P (k) | k=1,2 ..., m } indicate；Chaotic key
Sequence is indicated by W；Step (2) diffusion encryption after obtain ciphertext image pixel sequence by Q (k) | k=1,
2 ..., m } it indicates；Step (3) diffusion encryption after obtain final ciphertext image pixel sequence by R (k) | k=1,
2 ..., m } it indicates:
Feature (3a): in the diffusion ciphering process of step (3), without straight between final ciphertext R (k) and original plaintext P (k)
Connect connection；
Feature (3b): W (k) can not be inverted using the encryption formula of step (3)；
Feature (3c): in each ciphering process, there are XOR operations and non-linear " mould " to transport between ciphertext and plaintext
It calculates.
Reverse decryption iris region algorithm characteristics as a preferred technical solution of the present invention, in the step (4)
Are as follows:
Feature (4a): input decipherment algorithm main contents are chaotic key sequence, encryption parameter value and final key；
Feature (4b): initial key is identical with all parameter values during encryption and decryption processes；
Feature (4c): final decrypted image is identical with encrypted image.
As a preferred technical solution of the present invention, the scrambling algorithms in the step (2a) are divided into:
(2a1): Arnold conversion scrambling: the image for being N × N for size, the home position [x of pixel0,y0] logical
Cross the new location of pixels [x of reversible 2-dimensional matrix acquisition1,y1]；
(2a2): Baker transformation scrambling: mapping image by horizontal stretch image and then vertical folding image, and repeating should
Process all changes until the position of all pixels.
As a preferred technical solution of the present invention, the broadcast algorithm in the step (2b) is broadly divided into:
(2b1): the XOR between pixel；
(2b1): increase modular arithmetic between the pixels.
Beneficial effects of the present invention: the characteristic information in order to protect iris image, we use chaos encryption pattern die first
Iris region is pasted, to protect the iris information during network, is then encrypted using dual diffusion.The chaotic maps of neotectonics produce
Raw sequence Distribution value is stronger, and chaos characteristic is complex, combining encryption algorithm, and the pixel distribution of iris image can be more
Discrete and uniform, the superior performance of each index can be effective against common attack.By histogram analysis picture adjacent with image
Correlation between element combines, and fully meets the security requirements of encryption method, is increasingly rooted in the hearts of the people to current information security
Development under overall situation has very high researching value and meaning.
Detailed description of the invention:
Fig. 1 is file data Fusion Model flow chart of the present invention；
Fig. 2 is this algorithm simulating result schematic diagram；
Fig. 3 and 4 is the direction phase diagram of the adjacent pixel from iris plaintext image and iris ciphertext image.
Specific embodiment:
The preferred embodiments of the present invention will be described in detail with reference to the accompanying drawing, so that advantages and features of the invention energy
It is easier to be understood by those skilled in the art, so as to make a clearer definition of the protection scope of the present invention.
The present invention provides a kind of technical solution: a kind of double-encryption algorithm for iris feature protection:
The following steps are included:
Step (1): the chaotic key sequence of iris region Feature Mapping is used for using chaotic function building, wherein chaos letter
It is several to be characterized in that:
(1a): sensitive to primary condition；
(1b): must be Topologically mixing structure；
(1c): at least one intensive periodic orbit；
Step (2): the first re-diffusion Encryption Algorithm spreads the step of encrypting are as follows:
(2a): scramble information is carried out to plaintext by common scrambling algorithm, scrambling algorithm mainly has:
(2a1) Arnold conversion scrambling: the image for being N × N for size, the home position [x of pixel0,y0] pass through
New location of pixels [the x that reversible 2-dimensional matrix obtains1,y1]；
(2a2) Baker transformation scrambling: mapping image by horizontal stretch image and then vertical folding image, and repeating should
Process all changes until the position of all pixels.
(2b): calculating is diffused to image pixel by common broadcast algorithm, broadcast algorithm mainly has:
XOR between (2b1) pixel；
(2b1) increases modular arithmetic between the pixels.
Step (3): the second re-diffusion Encryption Algorithm spreads encryption and is characterized in that:
Assuming that the pixel sequence for the original plaintext image to be encrypted by P (k) | k=1,2 ..., m } indicate；Chaotic key
Sequence is indicated by W；Step (2) diffusion encryption after obtain ciphertext image pixel sequence by Q (k) | k=1,
2 ..., m } it indicates；Step (3) diffusion encryption after obtain final ciphertext image pixel sequence by R (k) | k=1,
2 ..., m } it indicates:
Feature (3a): in the diffusion ciphering process of step (3), final ciphertext R (k) and original plaintext [x0,y0] between do not have
Directly contact；
Feature (3b): W (k) can not be inverted using the encryption formula of step (3)；
Feature (3c): in each ciphering process, there are XOR operations and non-linear " mould " to transport between ciphertext and plaintext
It calculates.
Step (4): parameter value imports reverse decryption iris region, and decrypting feature is:
It is chaotic key sequence, encryption parameter value and final key that (4a), which inputs decipherment algorithm main contents,；
Initial key is identical with all parameter values during (4b) encryption and decryption processes；
(4c) final decrypted image is identical with encrypted image.
The size of key space is to measure the important indicator of the anti-attack ability of encipherment scheme.If key space is too small,
Encipherment scheme is easy thoroughly to be attacked, and safety is caused to reduce.One good Encryption Algorithm, key space should be enough
Greatly, to resist exhaustive attack.Data of the double precision datum in thirty-two bit computer are stored as 64, key space 264×264
=2128Dimension.Even if attacker's 100,000,000 keys of attack per second, it is also desirable to 1014Nian Caineng exhausts entire key space.If it is considered that
Reference value, then key space will be bigger and needs the more time.Therefore, the key for the double-encryption algorithm that this patent is proposed
Space is safe for exhaustive attack.
The design of algorithm and safety are closely related.Algorithm of good performance can judge to mark according to various known attacks
It is quasi-.Select iris figure to encrypt it.Simulation result is as shown in Figure 2.Fig. 2 (a) and Fig. 2 (d) respectively illustrate original image and its
Histogram.Fig. 2 (b) and Fig. 2 (e) respectively illustrate encrypted image and its histogram.Fig. 2 (c) and Fig. 2 (f) respectively illustrate solution
Close image and its histogram.As can be seen that the histogram distribution of all pixels is very uneven in original image.Encrypt iris figure
As intermediate region pixel histogram distribution have good linear relationship, and do not have for encryption iris image statistical analysis
Attack provides any clue.Therefore, the Statistical Analysis Attacks to encryption iris image can be effectively prevented.
From level, vertical and diagonal randomly chooses the N in image to adjacent pixel, to test plaintext image and close
The correlation of adjacent pixel between texts and pictures picture.
Fig. 3 and 4 is the direction phase diagram of the adjacent pixel from iris plaintext image and iris ciphertext image.Experiment is in rainbow
The level of film plaintext image and iris ciphertext image, vertically and diagonally adjacent random collecting 2000 is to adjacent pixel.Fig. 3 shows
The pixel for having gone out consecutive points in iris plaintext image is almost equal.The pixel that Fig. 4 shows consecutive points in iris ciphertext image is bright
Aobvious difference.
The adjacent pixel of iris plaintext image is highly relevant, and related coefficient is close to 1.Adjacent pixel in iris ciphertext image
Low correlation coefficient charts obviously literary statistical nature has been diffused as random ciphertext.The iris ciphertext image that this paper algorithm obtains reaches
The purpose of adjacent pixel correlation is destroyed, so that ciphertext has better random distribution characteristic.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention
Range.
Claims (7)
1. a kind of double-encryption algorithm for iris feature protection, which comprises the following steps:
Step (1): the chaotic key sequence of iris region Feature Mapping is used for using chaotic function building；
Step (2): the first re-diffusion Encryption Algorithm；
Step (3): the second re-diffusion Encryption Algorithm；
Step (4): parameter value imports reverse decryption iris region.
2. a kind of double-encryption algorithm for iris feature protection according to claim 1, it is characterised in that: the step
Suddenly the chaotic function feature using chaotic function building for the chaotic key sequence of iris region Feature Mapping in (1) are as follows:
Feature (1a): sensitive to primary condition；
Feature (1b): must be Topologically mixing structure；
Feature (1c): at least one intensive periodic orbit.
3. a kind of double-encryption algorithm for iris feature protection according to claim 1, it is characterised in that: the step
Suddenly the main algorithm step of the spread spectrum encryption in (2) and the step (3) is divided into:
Step (2a): scramble information is carried out to plaintext by common scrambling algorithm；
Step (2b): calculating is diffused to image pixel by common broadcast algorithm.
4. a kind of double-encryption algorithm for iris feature protection according to claim 1, it is characterised in that: the step
Suddenly the spread spectrum encrypted feature in (2) and the step (3) are as follows:
Assuming that the pixel sequence for the original plaintext image to be encrypted by P (k) | k=1,2 ..., m } indicate；Chaotic key sequence
It is indicated by W；Step (2) diffusion encryption after obtain ciphertext image pixel sequence by Q (k) | k=1,2 ..., m }
It indicates；Step (3) diffusion encryption after obtain final ciphertext image pixel sequence by R (k) | k=1,2 ..., m }
It indicates:
Feature (3a): in the diffusion ciphering process of step (3), do not join directly between final ciphertext R (k) and original plaintext P (k)
System；
Feature (3b): W (k) can not be inverted using the encryption formula of step (3)；
Feature (3c): in each ciphering process, there are XOR operations and non-linear " mould " operation between ciphertext and plaintext.
5. a kind of double-encryption algorithm for iris feature protection according to claim 1, it is characterised in that: the step
Suddenly the reverse decryption iris region algorithm characteristics in (4) are as follows:
Feature (4a): input decipherment algorithm main contents are chaotic key sequence, encryption parameter value and final key；
Feature (4b): initial key is identical with all parameter values during encryption and decryption processes；
Feature (4c): final decrypted image is identical with encrypted image.
6. the main algorithm step of diffusion encryption according to claim 3, which is characterized in that adding in the step (2a)
Algorithm is disturbed to be divided into:
(2a1): Arnold conversion scrambling: the image for being N × N for size, the home position [x of pixel0,y0] by can
New location of pixels [the x that inverse two-dimensional matrix obtains1,y1]；
(2a2): Baker transformation scrambling: image is mapped by horizontal stretch image and then vertical folding image, repeats the process
Until the position of all pixels all changes.
7. the main algorithm step of diffusion encryption according to claim 3, which is characterized in that the expansion in the step (2b)
Scattered algorithm is broadly divided into:
(2b1): the XOR between pixel；
(2b1): increase modular arithmetic between the pixels.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910751345.3A CN110505047B (en) | 2019-08-14 | 2019-08-14 | Double encryption method for iris feature protection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910751345.3A CN110505047B (en) | 2019-08-14 | 2019-08-14 | Double encryption method for iris feature protection |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110505047A true CN110505047A (en) | 2019-11-26 |
| CN110505047B CN110505047B (en) | 2022-08-23 |
Family
ID=68587462
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910751345.3A Active CN110505047B (en) | 2019-08-14 | 2019-08-14 | Double encryption method for iris feature protection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110505047B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11157776B2 (en) * | 2019-09-20 | 2021-10-26 | International Business Machines Corporation | Systems and methods for maintaining data privacy in a shared detection model system |
| US11188320B2 (en) | 2019-09-20 | 2021-11-30 | International Business Machines Corporation | Systems and methods for updating detection models and maintaining data privacy |
| CN113762077A (en) * | 2021-07-19 | 2021-12-07 | 沈阳工业大学 | Multi-biological-characteristic iris template protection method based on double-hierarchical mapping |
| US11216268B2 (en) | 2019-09-20 | 2022-01-04 | International Business Machines Corporation | Systems and methods for updating detection models and maintaining data privacy |
| CN114781010A (en) * | 2022-04-21 | 2022-07-22 | 北京工业大学 | Privacy protection terminal equipment and privacy protection method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102693523A (en) * | 2012-05-09 | 2012-09-26 | 华南理工大学 | Image two-grade encrypting method based on double-chaos system |
| CN104751403A (en) * | 2015-04-23 | 2015-07-01 | 北京航空航天大学 | Multi-chaos system based method of encrypting images related to plaintext |
| WO2016045217A1 (en) * | 2014-09-23 | 2016-03-31 | 深圳市汇顶科技股份有限公司 | Encryption method and encryption device |
| CN107330395A (en) * | 2017-06-27 | 2017-11-07 | 中国矿业大学 | A kind of iris image encryption method based on convolutional neural networks |
| WO2018153317A1 (en) * | 2017-02-24 | 2018-08-30 | 陈伟 | Chaotic map-based digital chaotic encryption method |
-
2019
- 2019-08-14 CN CN201910751345.3A patent/CN110505047B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102693523A (en) * | 2012-05-09 | 2012-09-26 | 华南理工大学 | Image two-grade encrypting method based on double-chaos system |
| WO2016045217A1 (en) * | 2014-09-23 | 2016-03-31 | 深圳市汇顶科技股份有限公司 | Encryption method and encryption device |
| CN104751403A (en) * | 2015-04-23 | 2015-07-01 | 北京航空航天大学 | Multi-chaos system based method of encrypting images related to plaintext |
| WO2018153317A1 (en) * | 2017-02-24 | 2018-08-30 | 陈伟 | Chaotic map-based digital chaotic encryption method |
| CN107330395A (en) * | 2017-06-27 | 2017-11-07 | 中国矿业大学 | A kind of iris image encryption method based on convolutional neural networks |
Non-Patent Citations (2)
| Title |
|---|
| 李敏等: "基于虹膜特征密钥的无线传感器网络安全数据融合", 《计算机系统应用》 * |
| 谢国波等: "二次广义cat映射的混合混沌图像加密算法", 《计算机工程与应用》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11157776B2 (en) * | 2019-09-20 | 2021-10-26 | International Business Machines Corporation | Systems and methods for maintaining data privacy in a shared detection model system |
| US11188320B2 (en) | 2019-09-20 | 2021-11-30 | International Business Machines Corporation | Systems and methods for updating detection models and maintaining data privacy |
| US11216268B2 (en) | 2019-09-20 | 2022-01-04 | International Business Machines Corporation | Systems and methods for updating detection models and maintaining data privacy |
| CN113762077A (en) * | 2021-07-19 | 2021-12-07 | 沈阳工业大学 | Multi-biological-characteristic iris template protection method based on double-hierarchical mapping |
| CN113762077B (en) * | 2021-07-19 | 2024-02-02 | 沈阳工业大学 | Multi-biological feature iris template protection method based on double-grading mapping |
| CN114781010A (en) * | 2022-04-21 | 2022-07-22 | 北京工业大学 | Privacy protection terminal equipment and privacy protection method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110505047B (en) | 2022-08-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhu et al. | 2D logistic-modulated-sine-coupling-logistic chaotic map for image encryption | |
| Wang et al. | An image encryption algorithm based on hyperchaotic system and DNA coding | |
| CN110505047A (en) | A kind of double-encryption algorithm for iris feature protection | |
| Mansouri et al. | A novel one-dimensional sine powered chaotic map and its application in a new image encryption scheme | |
| Chen et al. | Exploiting self-adaptive permutation–diffusion and DNA random encoding for secure and efficient image encryption | |
| Pak et al. | A new color image encryption using combination of the 1D chaotic map | |
| Wu et al. | Cryptanalysis and enhancements of image encryption based on three-dimensional bit matrix permutation | |
| Ye et al. | An effective framework for chaotic image encryption based on 3D logistic map | |
| Deng et al. | Analysis and improvement of a hash-based image encryption algorithm | |
| Li et al. | Cryptanalysis of a novel bit-level color image encryption using improved 1D chaotic map | |
| Cun et al. | A new chaotic image encryption algorithm based on dynamic DNA coding and RNA computing | |
| CN101030852B (en) | Method for enciphering and deciphering human-body safety | |
| CN114157772B (en) | Digital image encryption method based on space-time chaotic system and half tensor product compressed sensing | |
| Farschi et al. | A novel chaotic approach for information hiding in image | |
| Guo et al. | Improved reverse zigzag transform and DNA diffusion chaotic image encryption method | |
| Paul et al. | Simultaneous encryption of multiple images using pseudo-random sequences generated by modified Newton-Raphson technique | |
| Elamir et al. | Hybrid image encryption scheme for secure E-health systems | |
| Ye et al. | Research on reversible image steganography of encrypted image based on image interpolation and difference histogram shift | |
| Singh et al. | Deep learning-based biometric image feature extraction for securing medical images through data hiding and joint encryption–compression | |
| Blesswin et al. | Secured communication method using visual secret sharing scheme for color images | |
| Man et al. | Medical image encryption scheme based on self‐verification matrix | |
| Sekar et al. | Hybrid chaos-based image encryption algorithm using Chebyshev chaotic map with deoxyribonucleic acid sequence and its performance evaluation. | |
| Siswanto et al. | Chaotic-based encryption algorithm using henon and logistic maps for fingerprint template protection | |
| CN111131657B (en) | Chaos medical image tamper-proof encryption method based on self-verification matrix | |
| CN117478330A (en) | Three-party privacy set intersection cardinality solving method based on bilinear mapping and bloom filter |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |