Secure Hash Algorithm Research Articles

A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems

Human biometric images are utilized for cell phone authentication, airport security, and biometric passports. To improve the biometric identification process, this should be protected from cyber attackers because it is sensitive to any minor changes. Thus, security is a major concern in biometric images. Traditional encryption and compression methods are ineffective for encrypting biometric images due to their high execution time and algorithm complexity. In this paper, a novel 2D chaotic sine map is proposed for generating encryption keys and improving security for biometric identification systems. The proposed scheme uses the 2D chaotic map to generate the private key and diffusion process. Here, the Hénon-Sine Map (HSM-512), Secure Hash Algorithm (SHA-256), and DNA computing are also used in the key generation process. The pixel values of the original images in the proposed schemes are shuffled using Mersenne Twister (MT) to improve the security of biometric images. Moreover, the Differential Huffman Compression (DHC) method is used for lossless compression while performing the XOR-based encryption process. The proposed model has been tested on different RGB biometric images, namely the SOCOFing dataset and the COVID-19 chest X-ray dataset. The experiment results have been evaluated using many performance metrics, such as entropy, key space, histogram analysis, key sensitivity, robustness analysis, correlation, and similarity analysis. The outcomes demonstrate that the proposed scheme is more effective than the state-of-the-art schemes.

SECURING DATA IN THE IMAGE USING SHA & ECC

With the rapid advancement in digital technology, ensuring data security has become paramount, particularly in image transmission and storage. This paper proposes a method for securing data within images using cryptographic hashing (SHA - Secure Hash Algorithm) and Elliptic Curve Cryptography (ECC). Secure Hash Algorithm (SHA) is utilized to generate a fixed-length hash value from the input data. This hash value is unique to the input data and is nearly impossible to reverse-engineer. By embedding this hash value into the image, we can ensure data integrity, as any alterations to the image will be detected by recalculating the hash value. Elliptic Curve Cryptography (ECC) is employed for key generation and encryption. ECC offers smaller key sizes compared to other encryption algorithms, making it particularly suitable for constrained environments like images. The sender generates an ECC key pair: a public key for encryption and a private key for decryption. The data is encrypted using the public key and embedded into the image To further enhance security, the hash value generated by SHA can also be encrypted using ECC before embedding it into the image. This ensures that even if an attacker intercepts the image, they cannot tamper with the hash value. The proposed method provides robust data security within images, ensuring data integrity and confidentiality. Experimental results demonstrate the effectiveness of the proposed approach in securing data within images against various attacks.

Optimization of re-configurable multi-core processors and security based on field programmable gate arrays

<div align="center">n system-on-a-chip based complex processors has the problem of multithreading and miss-functionality due to their complexity and high-speed operations. In order to minimize these problems, the proposed design has machine learning based algorithms and cryptography systems for security has been incorporated. In the proposed work, the security level has been taken care of in three different stages such as data integrity, data authentication, and private and public keys encryption and decryption. In order to increase throughput with minimal latency, the proposed architecture with advanced high-performance protocol and advanced high-performance and advanced peripheral bus bridge is incorporated between the fabric dynamically re configurable multi-processor and peripherals along with security algorithms using secure hash algorithm (SHA-256) bits and advanced encryption standard (AES). In order to perform machine learning based applications, the proposed system is incorporated double-precision floating point arithmetic operations. The overall proposed architecture is developed in verilog hybrid deep learning (HDL) and quality checking using the LINT tool. The entire design is interfaced with the Zynq processor and software development kit (SDK) tool to verify data transfer between hardware and software. The obtained results are compared with existing state-of-art results and found that 18% improvement in throughput, a 21% improvement in power consumption savings, and a 34% reduction in latency.</div>

An Efficient Image Encryption Method Based on Enhanced Josephus Problem and a Non-Invertible Economic Map

As an increasing number of digital images are created and transmitted over the internet, there is growing concern over their unauthorized use, which has a big impact on both security and privacy concerns. In this research, we provide a fast and secure image encryption scheme by using an enhanced Josephus problem and two-dimensional non-invertible economic chaotic map (2D-ECM) to safely and covertly protect digital image information throughout public channel transmission. First, the initial values of the 2D-ECM map are generated based on Secure Hash Algorithm (SHA-256) and the input secret key. Then, the Josephus problem is enhanced by substituting the extract operation with location exchange and dynamic start location and step size is employed to scramble the image pixels. In order to integrate the confusion process and diffusion process, the enhanced Josephus problem is utilized indirectly to choose two random columns from the scrambled image and random image to XOR them with the current column. The evaluation results prove that the proposed image cryptosystem is more efficient compared to existing cryptosystems.

A Study on the Integrity Verification Method of New Media Video Works Using One-Way Encryption

Due to the characteristic of digital video media, there are risk of copying, deformation, damage, and volatility due to ease of access to data, so research on how to safely preserve it is necessary. A study was conducted to apply integrity verification method of new media video using one-way encryption hash function, and based on this, basic data for long-term image preservation were established. The hash function refers to a function that generates data with any length of a fixed length, and the hash value of a fixed length, and the hash value is different depending on data. This can be used to compare the initial value with the current value to determine the integrity of maintaining the state without forgery and alteration after data generation. The hash value was generated using Windows Powershell, a basic program developed by Microsoft, and SHA (Secure Hash Algorithm)-256, was used as a hash function. An experiment was conducted to determine whether the hash function was applied. As a result of the experiment, the applicability of the work was confirmed through hash value changes according to deformation and damage type, hash generation time, and multiple file hash value generation results, and it was possible to quickly determine whether or not there was damage. By comparing hash values through periodic inspection in the future, it is expected that not only integrity verification but also changes in the status of the file format or storage medium can be confirmed.

Mathematics as a basis for the generation of cryptographic tools

This article is the product of the research “Mathematics as a basis for the generation of cryptographic tools”, developed at the Universidad de Cundinamarca, sectional Ubaté in the year 2021. Problem: Improve the security of code with differential calculus, plane and spatial geometry, polar coordinates, and functions; the resulting encryption should improve on the standards of current encryption systems. Objective: Explain the algorithm’s operation with fundamental issues that use and generate a modification proposal to make the algorithm more robust when subjected to an attack by unethical hackers. Methodology: A bibliographic review, encryption codes, history of algorithms, and operation of SHA-256 in the Ethereum platform and Bitcoin explains how it works and gives an idea of how to improve security. Result: The algorithm’s operation is explained step by step using subject topics such as precalculus and calculus. Also, topics such as functions, truth tables, logical operators, programming functions, and a way to complicate the algorithm were proposed by applying issues of plane geometry, space, polar coordinates, ceiling function, and absolute values. Conclusion: It is possible to assimilate the operation of SHA-256 (256-bit secure hash algorithm) and the mathematical basis for generating codes in hexadecimal, depending on the message to be encrypted. Algebraic models allow taking different points of the figures generated in the Cartesian and polar planes to use them as a means of encryption. Originality: Explaining an algorithm widely used in encryption issues; however, according to a survey conducted, only a few understood the code that explains the mathematics, all the aspects behind its operation, and why it is so secure. In addition, the project proposes a way to improve its security. Limitations: The algorithm used was a hyperbolic and linear function combined. In this sense, common random points between the two functions are selected for encryption, and it is not aligned with the encryption systems used in blockchains; it is a restriction for the implementation. Currently, several updates are aligned with the SHA-256 system, involving limiting the inclusion of updated models.

Revised elliptic curve cryptography multi-signature scheme (RECC-MSS) for enhancing security in electronic health record (EHR) system

Internet of things (IoT) is a recent developing technology in the field of smart healthcare. But it is difficult to transfer the patient’s health record as a centralized network. So, “blockchain technology” has excellent consideration due to its unique qualities such as decentralized network, openness, irreversible data, and cryptography functions. Blockchain technology depends on cryptography hash techniques for safe transmission. For increased security, it transforms the variable size inputs into a constant length hash result. Current cryptographic hash algorithms with digital signatures are only able to access keys up to a size of 256 bytes and have concerns with single node accessibility. It just uses the bits that serve as the key to access the data. This paper proposes the “Revised Elliptic Curve Cryptography Multi-Signature Scheme” (RECC-MSS) for multinode availability to find the nearest path for secure communications with the medical image as keys. Here, the input image key can be converted into an array of data that can be extended up to 512 bytes of size. The performance of the proposed algorithm is analyzed with other cryptography hash functions like Secure Hashing Algorithms (SHAs) such as “SHA224”, “SHA256”, “SHA384”, “SHA512”, “SHA3-224”, “SHA3-256”, “SHA3-384”, “SHA3-512”, and “Message Digest5” (MD5) by “One-way ANOVA” test in terms of “accuracy”, “throughput” and “time complexity”. The proposed scheme with ECC achieved the throughput of 17.07 kilobytes per 200 nano seconds, 93.25% of accuracy, 1.5 nanoseconds latency of signature generation, 1.48 nanoseconds latency of signature verification, 1.5 nanoseconds of time complexity with 128 bytes of hash signature. The RECC-MSS achieved the significance of 0.001 for accuracy and 0.002 for time complexity which are less than 0.05. From the statistical analysis, the proposed algorithm has significantly high accuracy, high throughput and less time complexity than other cryptography hash algorithms.

Secure water quality prediction system using machine learning and blockchain technologies

Water is important for every organism, especially human survival. 2–3 % of fresh water is available on the earth's surface. Discharge of contaminated municipal sewage, removal of degradable wastes and industrial effluents has polluted freshwater resources like an ocean, river, pond, channel, or lake. Hence, this precious resource must be carefully maintained and preserved before consumption. In this research, machine learning models such as Linear Regression, Generalized Linear Model, Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), classification and regression trees, and Random Forest were used to predict the water quality parameter of Chittar Pattanam Channel, Kanyakumari district, Tamil Nadu in India by giving latitude and longitude. The results showed that the Random Forest (RF) algorithm was better than other models in terms of prediction accuracy with a mean absolute error of 0.56, mean square error of 0.33, and root mean square error of 0.56. Blockchain technologies were used to provide security in the machine learning model. In this work, more than one authorized person is involved in the prediction process, and the authorized person is verified by his signature using Secure Hash Algorithm-256 (SHA). To generate an unpredictable and unique key, SHA-2 uses the size of hash values is 256,384 and 512, a message size is 1024, total rounds are 80 and a word size is 64bits. RSA (Rivest-Shamir-Adleman) technique is used for performing data transfer of keys and encrypting and decrypting data. This study implements a secure water quality prediction system to reduce pollution and improve water quality.

Towards Maximising Hardware Resources and Design Efficiency via High-Speed Implementation of HMAC based on SHA-256 Design

Some applications, such as Message Authentication Code (MAC), rely on different hashing operations. There are various hash functions, including Message-Digest 5 (MD5), RACE Integrity Primitives Evaluation Message Digest 160 (RIPEMD-160), Secure Hash Algorithm 1 (SHA-1), and Secure Hash Algorithm 256 (SHA-256), among others. The network layer is the third of seven layers of the Open Systems Interconnection (OSI) concept, also known as the Internet. It handles network addressing and physical data routing. Nowadays, enhanced internet security is necessary to safeguard networks from illegal surveillance. As a result, Internet Protocol Security (IPsec) introduces secure communication across the Internet by encrypting and/or authenticating network traffic at the IP level. IPsec is an internet-based security protocol. Encapsulating Security Payload (ESP) and Authentication Header (AH) protocols are separated into two protocols. The MAC value is stored in the authentication data files of the Authentication Header and Encapsulating Security Payload. This article analyses a fast implementation of the Hash-based Message Authentication Code (HMAC), which uses its algorithm to ensure the validity and integrity of data to optimise hardware efficiency and design efficacy using the SHA-256 algorithm. During data transfer, HMAC is critical for message authentication. It was successfully developed using Verilog Hardware Description Language (HDL) code with the implementation of a Field Programmable Gate Array (FPGA) device using the Altera Quartus II Computer-Aided Design (CAD) tool to enhance the maximum frequency of the design. The accuracy of the HMAC design, which is based on the SHA-256 design, was examined and confirmed using ModelSim. The results indicate that the maximum frequency of the HMAC-SHA-256 design is approximately 195.16 MHz.

DMA controller design based on SHA-1 dual channel improvement algorithm

In order to make direct memory access (DMA) high-speed transmission while ensuring the security and integrity of data, the traditional Secure Hash Algorithm (SHA) is improved from the algorithm model and hardware architecture level by adopting the methods of data synchronization preprocessing and multi-block multi-output, and a dual-channel design with instant data comparison and data error correction functions adapted to high-speed DMA is achieved. The simulation results show that the maximum clock frequency of the DMA controller is 120 MHz and the throughput rate is up to 3.8 Gbps. The improved comparison channel can output the message summary at an interval of 0.56 μs, whereas the traditional algorithm needs to wait five times as long as the data handling time. The error correction channel also implements multi-block output and error block indexing. The results show that the improved dual-channel design based on the SHA algorithm can be highly adapted to DMA controllers and has good application prospects.

A Raspberry Pi based blockchain application on IoT security

Internet of Things (IoT) is a future generation of Internet infrastructure comprised of quick-witted things outfitted with programs and electric eyes or sensors that are engaged in an extent of industries such as media, robotics, government, healthcare, and most notably, education. It is composed of connected devices equipped with software and sensors that are able to communicate with each other and facilitate automated operations. This next generation of Internet infrastructure is set to bring about unprecedented levels of efficiency and convenience. In this day and age, these industries are utilizing Quick Response (QR) codes for daily transactions due to their straightforwardness and expediency. The utilization of this technology can be beneficial for students, as many people tend to overlook the importance of attendance in daily lives. Nevertheless, attendance is essential for both students and instructors, as it illustrates who is present in the classroom. The goal of this study is to gain or provide a systematized, reliable, and secure data interchange on IoT for education particularly for students. In the realm of computing, arm64 and amd64 are both examples of 64-bit processor architectures; arm64 is smaller and uses less energy, while amd64 is bigger and more powerful. Though they may differ in their designs and implementations, both processors can achieve the same results when used to develop an attendance system with blockchain technology. This study constitutes a straightforward and efficient system application for students that victoriously run proficiently with the constructive help of QR code, raspberry pi, and also the Hyperledger Fabric blockchain which can support to increase the security of the system. This study successfully builds a newly update Fabric 2.4.7 docker images and binaries for the arm64, modifies the HLF transaction and adds a Secure Hash Algorithm or the SHA256 generated by crypto from NodeJS of each transaction key and creates a QR code from it, includes a student transaction time for both attendance and registration.

Digital Signature System Using SHA-3 and ECDSA

This research aims to implement an information security system for electronic documents using electronic signatures based on ECDSA (Elliptic Curve Digital Signature Algorithm) and SHA-3 (Secure Hash Algorithm 3) algorithms. This research was conducted to answer questions about the security and integrity protection of digital documents in today's digital age. The research method used is a randomized controlled experiment testing the effectiveness of a security system implemented in a simulated environment. The data obtained from this experiment were statistically analyzed with valid and reliable results. Research results show that implementing a security system with digital signatures based on ECDSA and SHA-3 effectively protects the security and integrity of digital documents. The ECDSA algorithm ensures the legitimacy and authentication of digital documents through a digital signature process using private and public keys. The SHA-3 algorithm is used as a strong hashing algorithm to compute hashes of digital documents to ensure data integrity. The results show that a security system implemented using digital signatures based on ECDSA and SHA-3 can provide a high level of security in protecting digital documents. Prevent unauthorized changes and tampering.

An Optimized Intelligent Computational Security Model for Interconnected Blockchain-IoT System & Cities

Blockchain technology may provide a potential solution to the Internet of Things (IoT) security challenges by providing a decentralized and secure method for storing, managing, and sharing data. The Secure Hash Algorithm (SHA-256) hashed value of preliminary data (block) is retained in one block along with transaction data in tree form and timestamp in a chain of blocks. However, there are observations about blockchain limitations such as higher energy consumption, secure data, self-maintenance reliance, and higher cost. These constraints can be overcome by incorporating encryption algorithms into accepting blocks of data. In this paper, we propose a secure intelligent computational model for a large-scale interconnected IoT environment; an analytical modeling technique is considered for the proposed system. The proposed system takes advantage of the potential security feature of blockchain, which is considered the most appropriate secure communication system in an IoT. A computational model is built using the proposed blockchain technology to incorporate a secure and intelligent communication system. The proposed system uses the enhanced McEliece encryption approach’s potential to link the blockchain due to the faster mode of encryption and decryption process with a highly reduced number of steps.

Integration of Self-Adaptive Physical-Layer Key Distribution and Encryption in Optical Coherent Communication

We propose and experimentally demonstrate a compatible physical-layer secure optical communication (PLSOC) system that integrates self-adaptive physical-layer key distribution (PLKD) and encryption (PLE) in optical coherent communication. Based on bit error rate difference of QAM signals mapped by asymmetric basis state Y-00 protocol, the secret key can be secretly exchanged over public fiber links without the pre-shared keys. Moreover, we perform a parameter self-adaptive strategy for practical and dynamic PLKD. The security of the key is evaluated in the case of a fiber-tapping attack. A secure hash algorithm, SHA3-512, is used to perform privacy amplification to obtain the virtually secure key. An error-free PLKD rate reaches 39.3 Kbits/s over 300km ultra-low loss fiber. We experimentally enable the integration of the proposed PLKD scheme and quantum noise stream cipher (QNSC) with a single wavelength, same system. Q factor penalty of the integration system compared to the QNSC system is 3.7dB (optical back-to-back) and 4.8dB (300km) respectively. By exploiting a common hardware platform, with the same wavelength, the proposed PLSOC system addresses the problem that PLKD and PLE are separately performed through independent optical fiber links or wavelengths. Since only digital signal processing is used, the scheme does not require extra hardware.

A novel Hyperledger blockchain-enabled decentralized application for drug discovery chain management

The aim of the drug discovery process is to create a brand-new drug that is both safe and useful for treating disease in patients. The trustworthy collaboration of the organisations involved in the drug discovery process and the integrity of their contributions are essential for this process. Current drug discovery chains use centralised systems, which are susceptible to lockdown by cyberattacks. Blockchain, with its many characteristics such as accountability, immutability, integrity, privacy, and security, has the potential to be extremely useful in drug discovery chain management. The purpose of this work is to create a drug discovery framework utilizing the strengths of blockchain technology in combination with machine learning (ML). Such a system would provide a secure, efficient, and faster drug development life cycle. This study presents a novel Hyperledger fabric-based drug discovery application that empowers the permissioned organisations to upload, update, view, and verify contributions. ML is used to preprocess data and visualise features. In the proposed work, a unique identifier is assigned to each contribution asset using the secure hash algorithm (SHA-256). The proposed design also enables the regulatory authority to issue certificates proving the ownership of contributions to the contributing organisations. The blockchain ledger has been used to store the meta-data and InChIKey of drug contributions, and actual contributions are in off-chain storage. In this work, we have successfully built an end-to-end decentralised drug discovery application with a front-end interface and demonstrated chaincode algorithms. The end-to-end application is not available in any previous work. The Caliper tool has been used to investigate throughput, latency, and resource statistics. The performance and comparative analysis show that the proposed design is scalable and promising for drug discovery chain management.

Efficient and secure chaotic PRNG for color image encryption

Random number generation is considered a major problem for any digital color image cipher algorithm and secret communication protocol. Pseudo-random number generators (PRNGs) are used in many security applications because they afford both features, the randomness efficiency and quality of the PRNG. The paper proposes a new PRNG depending on a combination of the Secure Hash Algorithm (SHA-2(256)) with the results of three chaotic maps: the 2D Henon map, the 2D Kaplan-Yorke map, and the 2D Tinkerbell map. In the proposed chaotic generator, 6 initial floating-point numbers with 10−16 precision are inputs to SHA-2(256) for generating the initial values of the three chaotic maps. Then the chaotic maps are iterated to produce a binary sequence that is processed to enhance the sequence complexity based on binary XOR addition operation and 2D shifting scrambling method. The random binary sequences produced by the proposed PRNG algorithm were tested using several number of analyses like the national statistical test suite, correlation analyses, key space analyses, Sum of absolute analyses (SAD), key sensitivity analyses, and histogram analyses. The results proved that scrambling binary sequences have passed successfully the NIST tests where the ratio η of p-value concerns individual sequences between [0.9805, 0.9994], the correlation between the produced sequences is very small where the distributions of Pearson's correlation coefficients belong to [-0.03, 0.03] and the distributions of Hamming distance coefficients belonging to [0.49, 0.52], all the results of the SAD between [0.33237, 0.33451] which are almost close ideal values, and the key space of proposed PRNG is very large which is 2319. The proposed PRNG was applied as a random key generation algorithm on a new color image cipher algorithm, with strong permutation and substitution methods to encrypt and decrypt each image color channel. The practicableness of the algorithm was tested by different statistical and security analyses.

Asymmetric image encryption algorithm using a new chaotic map and an improved radial diffusion

In order to address the security risks associated with the theft of private images over open Internet of Things (IoT), this paper introduces a new Logistic-Sine-Coupling Map (LoSCM) in three dimensions with a better chaotic behavior, and proposes an image encryption algorithm using an improved Radial Diffusion (ImRD) to achieve a better diffusion effect in image encryption process. Firstly, a preprocessed image is obtained through an XOR operation between the original plain image and a random generated matrix, followed by Secure Hash Algorithm 512 (SHA-512) performed on it, producing a plaintext information with length of 512 bits. Then, a parameter transformation model (PaTM) is constructed, and the plaintext key associated with the plain image is computed by the plaintext property. Secondly, by employing public-key Rivest-Shamir-Adleman cryptogram, i.e., RSA, the ciphertext key is obtained through the plaintext key and opened to public. Then, a new initial value acquisition model (InVAM) is designed to calculate the initial values of LoSCM, thereby generating the corresponding keystream. Finally, XOR, row scrambling, ImRD diffusion, and column scrambling are performed on secret plain image, followed by modular addition with a random matrix to get the final cipher image. Furthermore, the simulation results and performance analysis also prove that the new suggested image encryption algorithm in this paper can effectively oppose chosen or known-plaintext attack. The highlights are: (1) Construct chaotic map LoSCM with better chaotic behavior. (2) Design diffusion ImRD with better diffusion effect. (3) Build models PaTM and InVAM with high security to produce keystream.

IMPLEMENTASI ALGORITMA SHA UNTUK ENKRIPSI TEKS BERBASIS MOBILE

In today's digital era, text messages have become one of the most common communication methods used by many people around the world. However, the use of text messages also poses security risks that need to be considered. Text messages can be targeted by hackers who are after personal information or important data that is sent through text messages. Mobile devices that are always connected to the internet can make text messages easily hacked or intercepted by unauthorized parties. Therefore, the use of encryption methods on text messages is very important to enhance the security and privacy of the information sent through text messages. This research aims to implement the Secure Hash Algorithm (SHA) algorithm on a mobile application for text encryption. The implementation of the SHA algorithm on the mobile application is done using the Java programming language and utilizing Android's built-in library to process data. The results of the study show that the mobile application using the implementation of the SHA algorithm can provide higher security for data containing messages sent over public networks

LIGHTWEIGHT CRYPTOGRAPHY METHOD IN THE INTERNET OF THINGS USING ELLIPTIC CURVE AND CROW SEARCH ALGORITHM

The Internet of Things (IoT) as an important technology consists of a heterogeneous and huge number of devices that generates an enormous amount of data in various applications. However, generating and transmitting huge amount of data in the IoT makes it crucial to implement a secure and safe data transmission scheme. Cryptography methods can secure the confidentiality, data integrity, access control, and authentication. Due to constrained resources in IoT devices, providing classical cryptography schemes isn’t efficient for IoT applications, so a lightweight cryptography scheme is one of the most important solutions to overcome security challenges in IoT. In this paper, a new security scheme called ECCCSASHA256 based on Elliptic Curve Cryptography (ECC) and Secure Hash Algorithm (SHA-256) using Crow Search Algorithm (CSA) has been proposed for secure data transmission in IoT devices. The ECCCSASHA256 model uses the CSA for generating a private key to encode the elliptic curve. Furthermore, the proposed scheme uses SHA-256 model for hashing the incoming encoded data using ECC. The simulation results indicate that the average throughput of the proposed model was about 8.22% and 8.97% higher in encryption and 8.72% and 9.81% higher in decryption compared to 3DES&ECC&SHA-256 and RC4&ECC&SHA-256, respectively.

A Symmetric and Multilayer Reconfigurable Architecture for Hash Algorithm

As an essential protection mechanism of information security, hash algorithms are extensively used in various security mechanisms. The diverse application scenarios make the implementation of hash algorithms more challenging regarding flexibility, performance, and resources. Since the existing studies have such issues as wasted resources and few algorithms are supported when implementing hash algorithms, we proposed a new reconfigurable hardware architecture for common hash algorithms in this paper. First, we used the characteristics of symmetry of SM3 (Shang Mi 3) and SHA2 (Secure Hash Algorithm 2) to design an architecture that also supports MD5 (Message Digest 5) and SHA1 (Secure Hash Algorithm 1) on both sides. Then we split this architecture into two layers and eliminated the resource wastes introduced by different word widths through exploiting greater parallelism. Last, we further divided the architecture into four operators and designed an array. The experimental results showed that our architecture can support four types of hash algorithms successfully, and supports 32-bit and 64-bit word widths without wasting resources. Compared with existing designs, our design has a throughput rate improvement of about 56.87–226% and a throughput rate per resource improvement of up to 5.5 times. Furthermore, the resource utilization rose to 80% or above when executing algorithms.