Symmetric Encryption Method Research Articles

A hybrid encryption approach for efficient and secure data transmission in IoT devices

Security is a crucial concern in the Internet of Things (IoT) ecosystem. Due to IoT devices' constrained processing and storage resources, providing reliable security solutions is challenging. Encryption is one of the most commonly used techniques to secure user data against unauthorized access. Therefore, it is essential to develop encryption solutions that have minimal impact on the performance of IoT devices. This study introduces a hybrid encryption approach that combines symmetric blowfish encryption with asymmetric elliptic curves. Blowfish encryption is used to encrypt large volumes of data, which could otherwise affect the execution time.In contrast, elliptic curve cryptography is utilized to ensure the security of the private key, which has a small size and does not increase the execution time significantly. The suggested approach provides advantages of both asymmetric and symmetric encryption methods, leading to an improvement in throughput and a reduction in execution time. The proposed approach was evaluated, yielding promising results in comparison to other cryptographic algorithms. The results show the optimization of more than 15% in the execution time and the efficiency increase by the proposed solution. This improvement represents security with the least impact on processing resources.

A novel hybrid scheme for chaotic image encryption

This paper presents a novel hybrid scheme for chaotic image encryption by means of both public-key cryptosystem and symmetric cryptosystem. In the public-key cryptosystem, the hash value of the plain image can be securely transmitted through a public channel by utilizing elliptic curve for generating public and private keys, embedding hash value, encrypting and decrypting embedded data, and finally restoring hash value in the receiver. Based on a 8-dimensional discrete-time hyper-chaotic system, a symmetric encryption method associated with the hash value of plaintext is then implemented, which achieves several mutually independent encryption operations, including position sequence and row-column cyclic shift for permutation, modulus and exclusive OR operations for diffusion. In particular, because of its passing NIST and TestU01 for random statistical properties, the proposed 8-dimensional discrete-time hyper-chaotic system can also be used to construct a higher-performance S-Box, acting as another crucial component in the chaotic image cryptosystem, so that its security can be further enhanced. Theoretical analysis and numerical experiments confirm the feasibility of the method.

A 2D Cryptographic Hash Function Incorporating Homomorphic Encryption for Secure Digital Signatures.

User authentication is a critical aspect of any information exchange systemwhich verifies the identities of individuals seeking access to sensitive information. Conventionally, this approachrelies on establishing robust digital signature protocolswhich employ asymmetric encryption techniques involving a key pair consisting of a public key and its matching private key. In this article, a user verification platform constructed using integrated circuits (ICs) with atomically thin two-dimensional (2D) monolayer molybdenum disulfide (MoS2 ) memtransistors is presented. First, generation of secure cryptographic keys is demonstrated by exploiting the inherent stochasticity of carrier trapping and detrapping at the 2D/oxide interface trap sites. Subsequently, the ability to manipulate the functionality of logical NOR is leveraged to create a secure one-way hash function which when homomorphically operated upon with NAND, XOR, OR, NOT, and AND logic circuits generate distinct digital signatures. These signatures when subsequently decrypted, verify the authenticity of the receiver while ensuring complete preservation of data integrity and confidentiality as the underlying information is never revealed. Finally, the advantages of implementing a NOR-based hashing techniques in comparison to the conventional XOR-based encryption method are established. This demonstration highlights the potential of 2D-based ICs in developing critical hardware information security primitives.

A Building Model for Enhancing Information Systems Security

Today, electronic systems and information have become no less important than food and water for human life. No one can deny this fact. Electronic information systems contribute to the development of life in many areas. But some electronic information systems should not be available for anyone to use, such as reading, operating, modifying or destroying without permission. This type of electronic information systems must be protected in some way based on the related situation. . Password-based authentication is the first defense for most information systems. Password security enhances the security of the entire information system. Therefore, password protection models become very important in such cases to help users improve authentication security. Researchers published various methods based on salting, hashing, symmetric encryption, and key splitting methods. The paper conducted by Saleh Al-Asali describes a method for generating a suitable secret key that is easy to memorize and remember, as he succeeded in generating a password that is strong and easy to remember. This paper improves the previous method by adding some improvements mentioned in the section described in the suggested method.

Using DNA to develop a lightweight symmetric encryption method to encrypt the data of IoT devices

Using DNA to develop a lightweight symmetric encryption method to encrypt the data of IoT devices

Using DNA to Develop a Lightweight Symmetric Encryption Method to Encrypt the Data of IoT Devices

Using DNA to Develop a Lightweight Symmetric Encryption Method to Encrypt the Data of IoT Devices

Algorithms of Encryption Using Graph Theory

Encryption plays a vital role in securing sensitive information in various domains from communication networks to financial transactions. Graph theory, with its vast mathematical framework and powerful algorithms, presents a potential method for creating encryption methods. This abstract introduces an algorithm that leveragesgraph theory concepts to provide a symmetric encryption method. Encryption is the process of hiding the original plain-text message by producing a cipher text; decryption is the process of resolving the cipher text to reveal the original plain-text message. In this research, an encryption method based on an idea from graph theory is suggested for encrypting the message. This method stores the original data (plain text) as a complete graph. An encryption table is used for labeling. Some matrix has been modified by using an alphabet encoding table. Ashared key, K, is used which increases the complexity of the cipher text and we provide the decryption process.

Lightweight encryption of enterprise data and secure management of eventual graphical model construction

Abstract In this paper, we use the event map as well as the even map reaction system, combined with the lightweight network data transmission encryption method of matrix tensor product, to establish the even map model for big data security management. The transmission data is compressed and reconstructed by matrix tensor compression perception, and the lightweight AES encryption of network transmission data is encrypted using the symmetric encryption method. In the end, the effectiveness of AES encryption and decryption while transmitting plaintext data is assessed for each department of Enterprise D in the service area of Edge Server Server. The results show that the lightweight AES encryption algorithm encrypts at an average of 85.33 ms less than the AES encryption algorithm, while the decryption time is 48.17 ms less, and the operation speed is faster. The algorithm demonstrates that it ensures the security of data transmission and enhances encryption and decryption performance simultaneously. In this paper, the research realizes the enterprise data transmission encryption college transmission, which provides a reference for data encryption.

A new modified DES algorithm based on the development of binary encryption functions

One of the most commonly used symmetric encryption methods is the Data Encryption Standard (DES), but it has a number of flaws. For instance, the encryption method only employs two functions (XOR), acts on one bit, and only allows for a finite number of combinations of data. To solve these issues, a new modified DES algorithm is presented in this study. The typical encryption DES algorithm of 16 rounds has been extended in the key space and the plaintext (using multiple keys) by presenting a new operation (Xo) replace the present XOR operation to increase complexity. In contrast to DES, which only employs one key, the research approach uses three keys other than the standard DES one. The input key for encryption and decryption processes is the first key. while other three keys are used to determine the table numbers (2, 4, 6, 8, 10, and 12), which have values ranging from 0 to 4096. When compared to the famous DES and other modified algorithms, the complexity analysis of the suggested method reveals it is the most difficult. As a result, the attacker must make at least (4.7594738544661044544894020894748E+173) attempts to break the key and get the clear message. This indicates that the well-known DES security level will be raised by the suggested DES algorithm, depending on the new Xo function.

A hybrid encryption system for communication and financial transactions using RSA and a novel symmetric key algorithm

Today's digital data transmission over unsecured wired and wireless communication channels is making encryption algorithms an increasingly important tool for securing data and information. Hybrid encryption techniques combine encryption schemes of either two symmetric keys or both symmetric and asymmetric encryption methods, and that provides more security than public or private key single encryption models. Currently, there are many techniques on the market that use a combination of cryptographic algorithms and claim to provide higher data security. Many hybrid algorithms have failed to satisfy customers in securing data and cannot prevent all types of security threats. To improve the security of digital data, it is essential to develop novel and resilient security systems as it is inevitable in the digital era. The recommended algorithm scheme is a combination of the well-known Rivest Shamir Adleman (RSA) algorithm and a simple symmetric key (SSK) algorithm. The aim of this study is to develop a better encryption method using RSA and a newly proposed symmetric SSK algorithm. We believe that the proposed hybrid cryptographic algorithm provides more security and privacy.

Image Encryption Using Dynamic Image as a Key Based on Multilayers of Chaotic Permutation

With the rapid expansion of electronic data transmission, unauthorized data access is growing. Information security against unwanted access is becoming increasingly essential in data storage and data transfer. Images are a common type of information that is used in almost every aspect of life, so the security of image data against unwanted access is critical. In this article, we propose an encryption technique that uses a symmetric encryption method based on XOR operation between the plain image and another image that will be used as a key agreed upon by both the sender and recipient. To ensure the security of the plain images, the scheme performs pixel permutation procedures dynamically using random numbers on the key image and plain image in each encryption process, which renders the encryption algorithm strong and brute-force resistant. Simulation results on several standard images showed a random distribution of pixel values and a higher pass rate correlated with entropy and ideal values for analysis parameters. Thus, through the use of randomization, the proposed algorithm is resistant to various attacks and offers promising security measurements while maintaining efficient and fast execution.

Data security in cloud environment using cryptographic mechanism

Virtual computing resources are provided via a cloud system that is both clever and intelligent. Based on the user's request, computing resources are made available. A hybrid cloud is the best option for storing and accessing user data for cloud deployments. Maintaining security in a hybrid cloud environment is time-consuming. This study provides a novel strategy for securing data in the hybrid cloud by ensuring the user's data is protected. Users' data in a hybrid cloud is protected using cryptographic approaches provided in this approach. Using this strategy, users' data may be protected in public and private clouds using various encryption methods. The suggested data security paradigm offers various advantages to both consumers and providers in terms of data security. Three symmetric encryption methods are offered as a service in the cloud. The concept is implemented as a cloud-based application hosted in the cloud, and the effectiveness of three strategies is assessed. They are evaluated in terms of performance and security. Using the recommended encryption methods in a hybrid cloud environment is more efficient than using other methods. The proposed technique can be used for relational data. It can be modified and enhanced to process multimedia data.

A Compact Cryptosystem Design of Triple-DES

Symmetric encryption algorithms are widely used in the field of information security due to the rapid increasing need to pass information via computer networks and communication technology. All symmetric algorithms are commonly used the same key for encryption and decryption. Triple-Data Encryption algorithm TDEA is a type of symmetric encryption methods. The proposed algorithm consists of triple-keys used through three stages of single round DES design. The proposed implementation in this paper is optimized in terms of chip area and performance speed. The results are concluded in terms of chip area performance and performance per area. The comparison results with similar encryption algorithms are satisfying and very competitive.

“A Study and Analysis on Color Coded Cryptography on Textual Data”

In today's network and internet applications, security is the most important factor. The value of data transmitted over the internet grows in lockstep with the relevance of network and Internet applications. As a result, one of the most important solutions in security related applications is offering vital protection against data threats. In data security systems, block cypher symmetric key cryptography is widely utilised. The symmetric key encryption methods DES (Data Encryption Standard), TDES (Triple Data Encryption Standard), PRESENT and KLEIN are compared in this study. The algorithms produce state-of-the-art results in their respective areas, with attacks, key size and block size compared.

“A Study and Analysis on Color Coded Cryptography on Textual Data”

In today's network and internet applications, security is the most important factor. The value of data transmitted over the internet grows in lockstep with the relevance of network and Internet applications. As a result, one of the most important solutions in security related applications is offering vital protection against data threats. In data security systems, block cypher symmetric key cryptography is widely utilised. The symmetric key encryption methods DES (Data Encryption Standard), TDES (Triple Data Encryption Standard), PRESENT and KLEIN are compared in this study. The algorithms produce state-of-the-art results in their respective areas, with attacks, key size and block size compared.

Encryption Management of Accounting Data Based on DES Algorithm of Wireless Sensor Network

The emergence of wireless sensor networks connects the physical world with the information world and changes the way humans interact with nature. With the rapid development of modern information technology, accounting information systems (AIS) have emerged at the historic moment. Under the information environment, accounting data exists in paper or paperless form. The use of information technology not only brings convenient and efficient services to enterprises but also has a huge impact on the internal control of the enterprise. Because the network is open and unstable, the system is vulnerable to illegal intrusion and viruses. Based on the above background, the research content of this article is to use DES algorithm to encrypt accounting data. DES (Data Encryption Standard) encryption algorithm is a symmetric password encryption method. It has the advantages of fast encryption speed, simple and practical algorithm, and consideration of both security and efficiency requirements. This paper discusses the application of DES encryption technology to accounting data processing. To achieve data security management goals. Therefore, this paper proposes a DES algorithm based on the logistic chaotic system. Through experimental simulation, the results show that the chaotic discrete model has initial value sensitivity and iterative nonrepetition. The resulting key space is independent and random. In the application, you can perform random key input according to the performance of software and hardware, which is flexible; there is only one “1186828” in the initial DES algorithm encryption process, but each set of plain text in the improved DES algorithm corresponds to a corresponding set of keys and independence. The test results show that they are maintained between 5 and 6.6. It is proved that using the initial value sensitivity of the logistic system and using the initial value as the key can realize the secure management of accounting data on the premise of ensuring efficiency.

A White-Box Implementation of IDEA

IDEA is a classic symmetric encryption algorithm proposed in 1991 and widely used in many applications. However, there is little research into white-box IDEA. In traditional white-box implementations of existing block ciphers, S-boxes are always converted into encoded lookup tables. However, the algebraic operations of IDEA without S-boxes, make the implementation not straight forward and challenging. We propose a white-box implementation of IDEA by applying a splitting symmetric encryption method, and verify its security against algebraic analysis and BGE-like attacks. Our white-box implementation requires an average of about 2800 ms to encrypt a 64-bit plaintext, about 60 times more than the original algorithm would take, which is acceptable for practical applications. Its storage requirements are only about 10 MB. To our knowledge, this is the first public white-box IDEA solution, and its design by splitting can be applied to similar algebraic encryption structures.

TEDL: A Text Encryption Method Based on Deep Learning

Recent years have seen an increasing emphasis on information security, and various encryption methods have been proposed. However, for symmetric encryption methods, the well-known encryption techniques still rely on the key space to guarantee security and suffer from frequent key updating. Aiming to solve those problems, this paper proposes a novel symmetry-key method for text encryption based on deep learning called TEDL, where the secret key includes hyperparameters in the deep learning model and the core step of encryption is transforming input data into weights trained under hyperparameters. Firstly, both communication parties establish a word vector table by training a deep learning model according to specified hyperparameters. Then, a self-update codebook is constructed on the word vector table with the SHA-256 function and other tricks. When communication starts, encryption and decryption are equivalent to indexing and inverted indexing on the codebook, respectively, thus achieving the transformation between plaintext and ciphertext. Results of experiments and relevant analyses show that TEDL performs well for security, efficiency, generality, and has a lower demand for the frequency of key redistribution. Especially, as a supplement to current encryption methods, the time-consuming process of constructing a codebook increases the difficulty of brute-force attacks, meanwhile, it does not degrade the efficiency of communications.

A new stable nonlinear textural feature extraction method based EEG signal classification method using substitution Box of the Hamsi hash function: Hamsi pattern

BackgroundThe EEG signal classification is crucial for epileptic seizure prediction. Therefore, many machine learning model has been presented to classify EEG signals accurately. Material and MethodThis work presents a novel automated EEG classification method by using a novel nonlinear feature extractor, and it is called as Hamsi-Pat. It uses the substitution box (S-Box) of the Hamsi hash function. As stated in the literature, S-Boxes have generally used for diffusion in symmetric encryption (especially block ciphers) methods and cryptologic hash functions. Since it is a nonlinear structure, this work aims to illustrate the merit of an S-Box for feature generation. Therefore, a new generation feature generator, which is Hamsi-Pat, is presented by using S-Box of the Hamsi hash function, and a novel EEG classification method is proposed by using Hamsi-Pat. The presented biomedical signal classification method has three elementary phases, and these phases are Hamsi-Pat based multileveled feature generation, iterative neighborhood component analysis (INCA) selector based feature dimension reduction, and classification using k nearest neighborhood (kNN) classifier. The presented Hamsi-Pat and INCA based methods were tested on Bonn electroencephalography (EEG) datasets. ResultThis model yielded 99.20% classification accuracy on the used EEG dataset for five classes case and it yielded 100.0% accuracies for other cases. ConclusionThese results obviously denoted that the S-Boxes can be considered as a feature generator, and a novel S-Box based feature generation research area can be defined as textural feature generation and statistical feature generation.

Composite cellular automata based encryption method applied to surveillance videos

This work is part of the research project “Encryption Models Based on Chaotic Attractors” institutionalized in the Research and Scientific Development Center of the Universidad Distrital Francisco José de Caldas. In this paper, a symmetric encryption method for surveillance videos is presented, based on reversible composite cellular automata developed for this purpose. This method takes advantage of reversible cellular automata and elementary rule 30 properties, for efficient regions of interest encryption in surveillance video frames, obtaining an algorithm which experimental results of security and performance are consistent with those reported in current literature. In addition, it allows decryption without loss of information through a fixed size key for each video frame.