Decryption Method Research Articles

A Secure IoT System Using Quantum Cryptography with Block Cipher

ABSTRACT In our days Iot technology used in a wide aspect of life and became an important topic for researchers in the scope of the technologies. Although all these benefits it needs more security and stays have security intimidation, such as data breaking or channel attacks via eavesdroppers and viruses, especially when the people used IoT for long distance for example for city or country, etc. or even using IoT to transfer secret information about things in big offices, for this reasons needed to use a method which increases IoT security and protection our special data. In this paper, we will use the internet of things IoT with quantum key distribution (QKD) and block cipher RC6 algorithm, where QKD is the science and art of using the quantum mechanical effect to perform cryptographic tasks and generates a secret key. Also, we need to overcome the loss of information which occurs because the information transition effected by noise or outside operators when using quantum cryptography, so the optimal solution is using the quantum bit error rate (QBER) to produce a more safe way for quantum communication among things in IoT techniques. QBER is done by using servers to correct error after sending a key for decryption method by another server to decrypt information using RC6 block cipher algorithm, during creating a secret key we need to calculate quantum correct probability and compare the result with threshold suggested and agreed by the servers.

An approach for encryption and decryption using matrix theory

In this paper, a method for encryption and decryption have been discussed using matrix theory and we have illustrated an example for this method.

Security of Digital Images Based on 3D Arnold Cat Map and Elliptic Curve

Security of digital data is an important task in the present era. In this paper, we propose a new scheme of digital image encryption and decryption method based on three-dimensional (3D) Arnold cat map (ACM) and elliptic curve. In this proposed encryption method, we have applied 3D ACM on the digital color image which performs the dual encryption first, it performs the permutation and second, it performs the substitution of image pixels. After that, elliptic curve cryptography (ECC) is used to encrypt the image, for this a mapping method is proposed to convert the pixels of the image as points on the elliptic curve. Further, a mapping inverting method is proposed for decryption and then 3D inverse Arnold cat map (iACM) is applied to get the original image. The statistical and security analyses are done on various images and the experimental results show the robustness of the proposed method.

A new efficient encryption and decryption method using a Lossless Data Compression Scheme

A new efficient encryption and decryption method using a Lossless Data Compression Scheme

Increasing Complexity of Cryptographic Using Combination of Hill Cipher and Cipher Block Chaining

Security and confidentiality of documents stored on a computer is an important aspect in the field of computer or information system security. Documents will no longer be useful if they are intercepted or hijacked by unauthorized people, they will even endanger the document owner, if documents containing important information are misused by irresponsible people. Therefore the documents on the computer must be preserved so that they are only accepted and used by interested persons. One of the solutions to prevent eavesdropping of documents is to use cryptography. This study aims to increase cryptographic complexity using a combination of hill cipher algorithms and block chaining cipher modes. The combination of the two methods is expected to be able to cover the shortcomings of each method so that the cryptographic complexity can be increased. The method in this study consists of two stages, namely the document encryption and document decryption stages. The encryption stage is to change the plaintext document into a ciphertext document, on the other hand, the decryption stage is to change the ciphertext document back into a plaintext document. The stages for document encryption include; 1) retrieve plain text messages in the document so that they can be processed by the system (parsing); 2) encryption to convert plaintext documents into ciphertext documents using the hill cipher algorithm; 3) encryption to convert plaintext documents into cipher text documents using cipher block chaining mode. While the methods for decryption are 1) taking the ciphertext message in the document so that it can be processed by the system (parsing); 2) decryption to convert ciphertext documents into plaintext documents using cipher block chaining mode; 3) decryption to convert ciphertext documents into plaintext documents using a hill cipher.

Optical and digital double color-image encryption algorithm using 3D chaotic map and 2D-multiple parameter fractional discrete cosine transform

This paper proposes a new encryption and decryption method for optical and digital double color-images using 2D-multiple parameter fractional discrete cosine transform (MPFrDCT) and 3D-logistic chaotic map (3D-LCM). The double color-images to be encrypted are converted to their indexed formats by extracting their color maps. A 3D-LCM is used for generate a keystream and this keystream is used in scrambling the indexed images. The second scrambled image is normalized and then multiplied by a random phase mask (RPM) generated by 3D-LCM. The first scrambled image and the second modified image are treated as amplitude and phase of a complex signal and this complex signal is encrypted using 2D-MPFrDCT. The Encrypted image is obtained after separating the amplitude and phase parts of this signal. To enhance security, a substitution method is applied in the intermediate image using another keystream generated by 3D-LCM. The decryption method is the same but in reverse order. We have also given a setup for the encryption and decryption of optical double images using this method. The keyspace for the proposed method is also discussed in this paper. The experimental results and the security analysis of the proposed method are given to validate the feasibility and robustness of the proposed method. The statistical analysis like histogram, correlation, entropy analysis, and randomness test confirm the robustness of the proposed method against statistical attacks. The experimental results also show that the proposed method is resistant to a brute-force attack. The proposed method has the ability to resist the occlusion attack, differential attack, and Gaussian random noise attack.

WITHDRAWN: Improving privacy in SDN based MANET using hybrid encryption and decryption algorithm

Abstract Mobile ad hoc networks (MANETs) are becoming a realistic framework for extensive social networking. In this kind of system, different content flow of information in aspects of content query and reaction. To what extent it must be trusted by mobile users, while user privacy can also be maintained. In this work, we are proposing two mechanisms to deal with the problems mentioned above. Firstly, we propose a simple dual-key method based on fully homomorphic encryption, and then we can suggest a complex hybrid structure-based scheme incorporating a double decryption method with fully homomorphic encryption. To implement the above schemes, Software Define Network (SDN) controllers are placed in MANET environment. By using the above strategy, we can ensure that data encrypted with various keys and processes, including intermediate outcomes, will be secure and that the cost of computing and communication will be minimal.

Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV

Edge intelligence is an emerging concept referring to processes in which data are collected and analyzed and insights are delivered close to where the data are captured in a network using a selection of advanced intelligent technologies. As a promising solution to solve the problems of insufficient computing capacity and transmission latency, the edge intelligence-empowered Internet of Vehicles (IoV) is being widely investigated in both academia and industry. However, data sharing security in edge intelligent IoV is a challenge that should be solved with priority. Although attribute-based encryption (ABE) is capable of addressing this challenge, many time-consuming modular exponential operations and bilinear pair operations as well as serial computing cause ABE to have a slow decryption speed. Consequently, it cannot address the response time requirement of edge intelligent IoV. Given this problem, an ABE model with parallel outsourced decryption for edge intelligent IoV, called ABEM-POD , is proposed. It includes a generic parallel outsourced decryption method for ABE based on Spark and MapReduce. This method is applicable to all ABE schemes with a tree access structure and can be applied to edge intelligent IoV. Any ABE scheme based on the proposed model not only supports parallel outsourced decryption but also has the same security as the original scheme. In this paper, ABEM-POD has been applied to three representative ABE schemes, and the experiments show that the proposed ABEM-POD is efficient and easy to use. This approach can significantly improve the speed of outsourced decryption to address the response time requirement for edge intelligent IoV.

A chaos-based medical image encryption method

<span lang="EN-US">The information in the e-health system involves the patient’s privacy which is extremely sensitive. For instance, these information record social security numbers and detailed medical history. When the breach happens, there are illegal, or disclosure behaviors taken to privacy that should be compromised security. In this paper, the medical digital images are protected by the proposed chaos-based encryption method in the process of transmission and utilization. Then the authentication is granted to patients and telemedicine staffs by the decryption method proposed. The Qi 3-D four wing chaotic system is employed in this method. The proposed method promises the keys with higher complexity and unpredictability than traditional cryptography methods by introducing the chaotic dynamics in the new cryptography. Digital medical images are used to validate the proposed method under the brute and the differential attacks. The pixels of the image are scrambled completely based on cat map and the sub-blocks of the image are diffused in the way that the original image is changed into a chaotic image robust to all kinds of attacks. The experiments show that the proposed method has higher performance and higher computation for decryption.</span>

A novel image encryption method based on fractional discrete Meixner moments

In order to improve the performance of the Meixner moments, we suggest in this article a new set of Fractional Discrete Meixner Polynomials (FrDMPs), a sort of a generalization of the traditional whole order. Firstly, we introduce the necessary algebraic derivatives of FrDMPs using the spectral decomposition of Discrete Meixner Polynomials (DMPs) for any order without numerical fluctuation and always preserving the property of orthogonality thanks to the algorithm of the Gram-Schmidt process. Then, we determine the eigenvalues and the corresponding multiplicity of the Meixner transform matrix. An image encryption and decryption method was proposed based on jigsaw transform and generation of Fractional Discrete Meixner Moments (FrDMMs), in which the image is broken up into bit planes. Each bit plane undergoes a jigsaw transform is divided into blocks and encrypted. The transformed bit planes are combined together and then encrypted using random phase masks and fractional discrete Meixner moments. In addition, we introduce a new encryption and decryption scheme based on the proposed FrDMMs. This scheme has a good encryption effect because the fractional parameters used as key to the encrypted data. Experimental results show that the encryption scheme is sensitive to keys, it is resist a variety of attacks, and decrypted images are almost non-distored, which indicate excellent encryption effect, sufficient security and robustness of the method.

A study on the decryption methods of telegram X and BBM-Enterprise databases in mobile and PC

Instant messenger (IM) apps, which store a variety of behavioral information about users, such as secret chats, group chats, and file sharing, are important tools for digital forensics investigation. Messenger apps on mobile devices store user-friendly data, but data collection can be difficult due to various constraints. PC messenger data, on the other hand, can be collected relatively easily, but tend to be less informative than data from mobile messengers. Most messengers are cross-platform, supporting both mobile devices and PCs, and providing synchronization services, a situation which can overcome the constraints of data extraction for evidence acquisition. This allows for complementary interaction when extracting data generated by the use of IMs. However, some IMs encrypt their data for protection against external threats. The use of encryption can effectively protect the user's data, but poses a significant challenge to digital forensics, in which data should be decrypted to be used as evidence. Such IMs normally use a combination of key derivation functions and cryptographic algorithms to encrypt data. It is therefore necessary to identify the relationships between the functions used for encryption, in order to decrypt IM data, so that it can be used as evidence, and to determine the secret values used for generating keys. In this paper, we propose methods for acquiring user data, including conversation history protected by encryption by analyzing the Telegram X and BBM-Enterprise apps that perform in various mobile and PC operating environments. Both applications encrypt their databases using an SQLite extension module called SQLCipher. In order to decrypt these databases, we identified the parameters of SQLCipher, and derived a Passphrase, the main secret. In addition, We validated our approach by conducting an experiment to decrypt the encrypted databases of Telegram X and BBM-Enterprise.

Printing polarization and phase at the optical diffraction limit: near- and far-field optical encryption

AbstractSecuring optical information to avoid counterfeiting and manipulation by unauthorized persons and agencies requires innovation and enhancement of security beyond basic intensity encryption. In this paper, we present a new method for polarization-dependent optical encryption that relies on extremely high-resolution near-field phase encoding at metasurfaces, down to the diffraction limit. Unlike previous intensity or color printing methods, which are detectable by the human eye, analog phase decoding requires specific decryption setup to achieve a higher security level. In this work, quadriwave lateral shearing interferometry is used as a phase decryption method, decrypting binary quick response (QR) phase codes and thus forming phase-contrast images, with phase values as low as 15°. Combining near-field phase imaging and far-field holographic imaging under orthogonal polarization illumination, we enhanced the security level for potential applications in the area of biometric recognition, secure ID cards, secure optical data storage, steganography, and communications.

Colour-image encryption based on 2D discrete wavelet transform and 3D logistic chaotic map

This paper proposes a new lossless encryption and decryption method for digital colour-image using 2D discrete Haar wavelet transform (DHWT) and 3D logistic chaotic map. The proposed cryptosystem provides the security of the digital images using the cryptographic algorithm in the frequency domain of the image. The proposed method uses two levels of 2D DHWT for the decomposition of the image. For the encryption, 2D DHWT is applied on the different colour components of the colour-image and then the encryption method is applied on the different sub-bands of each level of decomposition and for the decryption the reverse process of the encryption is used with the inverse of functions used in encryption. The experimental results and the security analysis like brute force analysis, statistical analysis, occlusion and differential attack of the proposed method are given to validate the feasibility and robustness of the method.

Triple color image encryption based on 2D multiple parameter fractional discrete Fourier transform and 3D Arnold transform

This paper proposes a new encryption and decryption method for triple color images using 2D multiple parameter fractional discrete Fourier transform (MPFrDFT) and 3D Arnold transform (AT). The proposed method converts three color images into Bayer images, which are considered as the three components of a color image. These three Bayer images are combined vertically and then baker chaotic map is applied to permute rows and columns and a similar process is applied in the horizontal combination, the image then obtained is considered as the complex valued image (CVI). Then apply 2D MPFrDFT on this CVI. The output of 2D MPFrDFT is separated into three components. Apply 3D AT into the three components and the output is considered as the three color components of the encrypted image. The experimental results and the security analysis of the proposed method are given to validate the feasibility and robustness of the method. The statistical analyses like histogram, correlation and entropy confirm the robustness of the proposed method against statistical attacks and experimental results show that the method is resistant to occlusion attack. The mathematical analysis shows that the brute force attack is not possible in proposed method.

USE OF REMOTE GEOINFORMATION TECHNOLOGIES FOR FOREST PATHOLOGY MONITORING IN THE ZHYTOMYR POLISSYA

USE OF REMOTE GEOINFORMATION TECHNOLOGIES FOR FOREST PATHOLOGY MONITORING IN THE ZHYTOMYR POLISSYA

Role of Some Integral Transforms in Cryptograph

There are so many methods for the process of cryptography in literature. In this paper we present encryption and decryption method by using Laplace transform &Sumudu transform and their inverses. The purpose of using this method is for more security in communication as compared to other methods because cipher text obtained by this method could not be cracked by other persons easily. In the first part we apply Laplace transform to trigonometric cosine function for Sumudu transform for the same purpose.Fiinally we conclude by comparing these two methods.

Simultaneous Image Encryption and Compression using Adaptive Bit Plane Quadtree-based BTC

In the digital World, huge amount of data is shared or stored every day. While sharing the data there may be a chance accessing of the data by an unauthorized persons. So In this study, by modifying standard JPEG compression algorithm, encryption and simultaneous decompression, decryption method is inspected. The proposed system deals with the computation of time and cost by combining compression and encryption by using Adaptive Bit plane Quad tree Block Truncation Coding (ABTC) technique. Here combined with edge detection and adaptive bit plane quantization, the adaptive bit plane quad tree-based BTC algorithm is used. The encryption of the data can be done with key validation technique. The main and ultimate goal is to secure the data from the unauthorized persons, to reduce the redundancy of the image and to store or transmit data in an efficient form.

Classification of Encrypted Text Based on Artificial Intelligence

With the development of internet, information security is essential. The traditional decryption method only works for single encryption method. New models based on Artificial Intelligence to decrypt different kinds of encryption methods. Data features were extracted by tf-idf algorithm and applied into different models. The primary models to decrypt message without knowing whether encryption methods are logistic regression, lightGBM, and ensemble algorithm to decrypt encryption data. Comparing the performance in the models based on logistic regression and lightGBM algorithm respectively, we concluded that both the accuracy and F1 score of logistic algorithm are better than those of lightGBM algorithm. We also made improvement on the model by using ensemble algorithm. A more preferable performance including the accuracy and F1 score has achieved with multiple algorithm. Therefore, ensemble algorithm is more suitable for building general model to decrypting different kinds of encryption methods.

Image Encryption and Decryption using RSA Algorithm with Share Creation Techniques

visual cryptography system proposed a image encryption and decryption method. In the proposed method Red, Green, Blue color images using visual cryptography. In existing system is working for share created, it is encrypted separately by using visual secret share creation (VSS) algorithms. The proposed work is original images share1 and ahare2 created XOR-Based visual cryptography. This proposed schemes share1 encryption and share2 encryption included in RSA algorithm. The share1 and ahare2 decryption process is enable secret image sharing and then stacking. The proposed system is value calculate the PSNR and MSE formula and then image security using NPCR and UACI formula. The visual cryptography existing work to compare the proposed work and better results quality of RGB color images. The color image encryption and decryption using RSA algorithm and matlab coding.

Ensuring the functional reliability of computer linguistic stegosystems in context of countering the information propaganda

The article reviews the existing methods for improving the functional reliability of computer linguistic stegosystems. Since it was found during the study that quantum steganography is promising direction, especially in the context of counteracting the information propaganda, therefore these approaches are the ones that are considered for solving the problem. The analysis of existing developments proves the lack of a full-fledged practical implementation of such an approach in steganography. An assumption is put forward in the work that the reason is in absence of unity of the corpuscular-wave characteristics in the process of hiding the stegomessage. It is being proved in the article that at the moment such an approach can only be realized in computer linguistic steganography, by combining it with quantum steganography. The analysis found that textual steganography basing on quantum laws is at the initial stage of development, and studies are conducted only in the field of random interval methods. The concept of quantum-semantic linguistic steganography is introduced to solve the problem in the work. Existing disadvantages of quantum steganography methods, namely, the inability to reproduce the plurality of worlds or the text's vulnerability to systems of automatic semantic modification, are proposed to be corrected by using the method of linguistic-combinatorial modeling of difficult-formalized systems and the principles of cybernetic hermeneutics for interaction with quantum states, and intensional logic to solve the problem of quantum entanglement to save quantum dualism for the formalization and implementation of the idea of the quantum-semantic steganography in practice. In turn, the implementation of affine transformations in relation to the function describing the subjective semantic line of the text will provide a process of counteracting the information propaganda. The use of the digital watermarking methods for decryption the change of semantic states in formation of the text by subjective semantic line will help to reduce the probability of detecting the fact of the stegomessage transmission.