AES Algorithm Research Articles

Health Chain Connect

Electronic medical records are medical records of patient stored digitally on the internet. Patient information is stored in the blockchain, and this information is stored as a block of data in the blockchain. Encrypted using the AES algorithm used to encrypt all patient data. Blockchain networks are used in healthcare to exchange patient information and increase the efficiency, security, and transparency of medical information sharing in healthcare. Security, decentralized and transparency, the three main features of blockchain technology, make all applications secure and inaccessible to unauthorized persons.

IoT based security and privacy implementation in smart home

IoT based security and privacy implementation in smart home

Performance enhancement of cloud security with migration algorithm for choosing virtual machines in cloud computing

The management of the hardware as well as software resources entrusted to third-party service suppliers have shown to be extraordinarily remarkable and accessible with Cloud Computing (CC), a potential computing technology for the future. Yet, a major undertaking is characterized by security as well as the use of Virtual Machines (VMs) to perform a request. The main issue with using technology is security worries, which raises the need for a strong security system to safeguard data on the cloud. Thus, to address this problem, a method called Weighted Mean-based Radial Basis Function Network with Advanced Encryption Standard (WMRBFN-AES) is developed to improve cloud security along with the time of execution. Random keys are produced utilizing the Pseudo Random Number Generator (PRNG) technique, and the best keys are created employing the WMRBFN technique. In the WMRBFN technique, randomly generated keys are used as input, and the hidden layers yield an estimate associated with the secret key of the input. The output layer generates the most precise secret keys to encrypt the data. Encryption is carried out using the AES algorithm. The files about the encrypted data are kept in a cloud storage system. Reduced execution times for stakeholder demands (tasks) as well as optimal cloud resource utilization result from the selection of VMs, which significantly improves reliability. The Migration Algorithm (MA) is used in the cloud framework to optimize the selection of VMs to improve resource utilization and performance. The experimental findings of the suggested framework and the state-of-the-art frameworks are compared, and it was found that the new model performed better in terms of cost, resource utilization, service latency, throughput, and execution time.

Application of AES and 3DES Hybrid Encryption Algorithm Based on Optimized S Box in the Data Transmission of Human Resources and Social Security Informatization

In this paper, a hybrid encryption algorithm based on AES and 3DES is proposed to improve the security of data transmission in human resources and social security informatization. We first analyze the advantages and disadvantages of AES and 3DES, and then elaborate on why the two algorithms are used in combination. Then, this paper discusses the implementation process and mathematical principle of the hybrid algorithm. Finally, we implement the hybrid algorithm in the C + + language and present an application example.

Super Encryption of the Hill Cipher Method and the AES Method for Security of Employee Salary Data

Data security is a security system that is needed to protect data in systems, networks and other digital components. In a unit or agency such as the South Binjai sub-district office, the management of employee salary data is done digitally, namely via a computer. However, in this increasingly sophisticated digital era, it can cause many irresponsible individuals to easily wiretapping the company's data so that it can be easily accessed by other parties, as well as employee salary data which contains a lot of data. important. In order to avoid unwanted things such as theft of personal data by irresponsible persons, a security system is needed that can maintain the confidentiality of data and secure data. Therefore, in this case, a security system is needed that can maintain the confidentiality of data and secure employee salary data. With that there are many algorithms that can be used in securing employee salary data. And the algorithm used is hill cipher and AES algorithm. The hill cipher algorithm is an encryption-decryption algorithm that uses a transformation matrix. The AES algorithm is a symmetric block ciphertext that can encrypt and decrypt information. The use of these two algorithms can further strengthen the security of employee salary data. From the results of the trials carried out, the sample data used containing employee salary data was successfully secured with both hill cipher and AES algorithms.

Securing the Sensitive Data Transfer in Cloud using AES and RSA Algorithms

Securing the Sensitive Data Transfer in Cloud using AES and RSA Algorithms

Intelligent Logistics Management System Based On Improved AES Algorithm

With the rapid development of China's economy and information technology, the Internet has penetrated into People's Daily life, especially with the rise of mobile e-commerce, online shopping has become a convenient, fast, cost-effective consumption mode. However, this convenience also brings challenges to the logistics industry, mainly in terms of user privacy and logistics efficiency. In order to solve these challenges, an intelligent logistics management system based on improved AES algorithm is designed to improve the quality and efficiency of logistics services. The system includes a new logistics management system and a pick-up verification APP. By using AES algorithm to encrypt order information, generate order QR code, and realize goods tracking, the system effectively protects user privacy and improves the efficiency of logistics services. In order to enhance the security, this research also combines the chaotic system to generate random keys and encrypts the order information with AES algorithm, which fundamentally solves the security problem of AES algorithm. The new logistics management system has greatly improved the logistics efficiency and reduced the logistics cost by automatically generating the pick-up number and sending the pick-up short message using the instant communication technology. The pick-up verification APP further strengthens the security and timeliness of pick-up, and provides practical significance for the development of logistics enterprises. These research results have important implications for promoting the development of intelligent logistics management system, and provide new ideas and inspirations for the research and application of related fields.

Audio encryption and decryption using AES algorithm technique

Audio cryptography is the practice of encrypting audio data to prevent illegal access to and listening to it. This paper presents an innovative technique of audio cryptography based on the Python computer language. To ensure secrecy and integrity, the suggested system encrypts and decrypts audio signals using advanced cryptographic techniques. A crucial component of AES, the cryptographic key is dynamically created to improve security. Python's broad library support and ease of use make it an ideal platform for implementing the AES algorithm, which ensures dependable and effective audio data encryption. The system utilizes Python's cryptography library for seamless integration and ease of implementation. Simulation results demonstrate the efficacy of the AES algorithm in securely encrypting and decrypting audio data with reduced noise compared to traditional methods.

Ақпараттық қауіпсіздіктің криптографиялық әдістеріне салыстырмалы талдау жүргізу

This article is devoted to the study of methods for analyzing the cryptographic stability of encryption algorithms. The rapid development of encryption systems, as well as the concomitant development of their hacking, leads to the emergence of new systems with high cryptographic strength. During the work, popular encryption methods were studied according to various parameters (performance, memory size, resistance to damage, etc.), based on the results of the study, the DES and AES algorithms were selected, and its algorithm was modeled using the Cryptool 2 software product, as well as attack by various methods. Based on the results of the study, software for an encryption algorithm was developed using the object-oriented programming language C#.

Exploration of the Encrypted Transmission Technology of Network Communication Information Based on AES Algorithm

Exploration of the Encrypted Transmission Technology of Network Communication Information Based on AES Algorithm

On the performance of AES algorithm variants

On the performance of AES algorithm variants

Encryption of Medical Image Based on Cascaded Design of AES Block Algorithm and Chaotic Map

Security concerns in the transfer of medical images have drawn a lot of attention to the topic of medical picture encryption as of late. Furthermore, recent events have brought attention to the fact that medical photographs are constantly being produced and circulated online, necessitating safeguards against their inappropriate use. To improve the design of the AES algorithm standard for medical picture encryption, this research presents several new criteria. It was created so that needs for higher levels of safety and higher levels of performance could be met. First, the pixels in the image are diffused to randomly mix them up and disperse them all over the screen. Rather than using rounds, the suggested technique utilizes a cascaded-looking composition of F-functions in a quadrate architecture. The proposed F-function architecture is a three-input, three-output Type-3 AES-Feistel network with additional integer parameters representing the subkeys in use. The suggested system makes use of the AES block cipher as a function on a Type-3 AES-Feistel network. Blocks in the proposed system are 896 bits in length, whereas keys are 128 bits. The production of subkeys is encrypted using a chain of E8- algorithms. The necessary subkeys are then generated with a recursion. The results are reviewed to verify that the new layout improves the security of the AES block cipher when used to encrypt medical images in a computer system.

A novel and secured email classification and emotion detection using hybrid deep neural network

Compared to other social media data, email data differs from it in various topic-specific ways, including extensive replies, formal language, significant length disparities, high levels of anomalies, and indirect linkages. In this paper, the creation of a potent and computationally effective classifier to categorize spam and ham email documents is proposed. To assess and validate spam texts, this paper employs a variety of data mining-based classification approaches. On the benchmark Enron dataset, which is open to the public, tests were run. The final 7 Enron datasets were created by combining the six different types of Enron datasets that we had acquired. We preprocess the dataset at an early stage to exclude any useless phrases. This method falls under several categories, including Logistic Regression (LR), Convolutional Neural Networks (CNN), Random Forests (RF), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and suggested Deep Neural Networks (DNN). Using Bidirectional Long Short-Term Memory (BiLSTM), email documents may be screened for spam and labeled as such. In performance comparisons, DNN-BiLSTM outperforms other classifiers in terms of accuracy on all seven Enron datasets. In comparison to other machine learning classifiers, the findings demonstrate that DNN-BiLSTM and Convolutional Neural Networks can categorize spam with 96.39 % and 98.69 % accuracy, respectively. The report also covers the dangers of managing cloud data and the security problems that might occur. To safeguard data in the cloud while maintaining privacy, hybrid encryption is examined in this white paper. In the AES-Rabit hybrid encryption system, the symmetric session key exchange-based Rabit technique is combined with the benefits of the AES algorithm for faster data encryption.

New Generated Keys of the AES Algorithm Based on the SHA256 Algorithm for Image Encryption

To prevent unauthorized access to digital data, stronger encryption solutions are needed. The Advanced Encryption Standard is instrumental to cryptographic security, but this reliance on traditional forms of key generation risks undoing its potency. In order to fulfill this effect that the research presents its new work for another version of AES key generation with SHA256. Using the high entropy of SHA256, we generate even more complicated and unpredictable keys that drastically raises resilience to cryptographic attacks. We demonstrate this with a Python implementation of our proposed method along with experiments on image data which show significantly increased encryption strength over standard AES, whilst having similar performance. This research represents an additional step toward developing safer methods of encryption that safeguard data.

Secure and Efficient NVM Usage for Embedded Systems Using AES-128 and Huffman Compression

Embedded systems are customized systems designed to meet functionality and specific usage purposes. These systems often grapple with challenges such as power interruptions, limited memory space, and the expectation of a long operational lifespan. It is in this context that Non-Volatile Memory (NVM) plays a vital role. NVM is a type of memory that ensures data persistence even in situations of temporary power loss or signal interruptions. Efficiently utilizing NVM is a critical necessity for the effectiveness and reliability of these systems. Efficient utilization of NVM necessitates the effective management of write and read cycles. Previous studies have demonstrated the efficient utilization of NVM sectors by ensuring that no garbage bytes remain unallocated. Previous studies have demonstrated the efficient utilization of NVM by compressing the data to be written into NVM using the Huffman compression algorithm, and filling sectors without any residual garbage bytes. This paper aspires to advance beyond prior research by integrating the Advanced Encryption Standard (AES-128) block encryption algorithm, aiming to optimize the utilization of NVM to a greater extent. The AES-128 algorithm provides data security with encryption and decryption operations. By applying AES-128 encryption to the data before writing it to the NVM, this work adds a data security layer to the developed software module. Data is divided into blocks using this algorithm. Each block is encrypted independently and then reassembled. The encryption process includes key management, substitution-permutation network layers, and multiple rounds, all of which make substantial contributions to high-level data security. The resulting encrypted data is compressed using the Huffman compression algorithm. This process enhances both the security and efficiency of data storage. The data is written to NVM with maximum efficiency, ensuring that no residual garbage bytes remain, upon the completion of the encryption and compression processes. This study surpasses previous research by enhancing storage security and efficiency through these processes. Moreover, the developed secure and efficient NVM usage, as it fills the NVM with data without leaving any garbage bytes, results in slower processing speed compared to standard NVM usage. Therefore, in future research, interventions with code optimization techniques can be applied to the developed algorithms to enhance write and read speeds.

Secure Message Transmission: Integrating AES Encryption and LSB Substitution Steganography in a Django-based System

Abstract: This study introduces an innovative strategy for ensuring secure message transmission by merging AES encryption with steganography. The proposed technique entails the development of a user-friendly website using Django, facilitating the secure input of messages. The input text is then subjected to encryption using the well-established AES algorithm, recognized for its robust cryptographic capabilities. Subsequently, the encrypted message becomes concealed within an image through the utilization of LSB substitution, a prevalent steganographic method. The paper thoroughly explores the methodology, experimental configuration, and outcomes, effectively showcasing the efficacy of this amalgamated approach. Ultimately, this solution offers a pragmatic remedy for accomplishing covert and secure communication across diverse applications.

Comparative Analysis of AES and RSA Algorithm for Cloud File Transfer

Cloud computing improvements have resulted in information being contracted by cloud services. Dropbox and Google Drive are cloud storage services that provide users low-cost storage. We provide a way of protecting files by encrypting and decrypting them, which provides an enhanced level of security. We use the Double encryption approach to encrypt the files that we upload to the cloud. The file is encrypted twice, one after the other, using the two algorithms. The file is encrypted using the AES method first, followed by the RSA algorithm. During the algorithm's execution, the corresponding keys are created. This strategy raises the level of security. The parameters covered here include security level, speed, data confidentiality, data integrity, and cypher text size. Our method is more efficient as it satisfies all the parameters where the conventional methods failed to do so. Drop Box is the cloud service we utilized to store the file's content, which is encrypted using the AES and RSA algorithms

An Enhanced and Dynamic Key AES Algorithm for Internet of Things Data Security

Internet of Things (IoT) applications have become ubiquitous in various aspects of daily life, including smart homes, healthcare, and other areas where human assistance is crucial. However, the valuable real-world data collected by IoT devices and transmitted over the Internet have become a prime target for numerous malicious actors and hackers. Therefore, ensuring secure communication to prevent unauthorized access to this transmitted data is of paramount importance. This research is dedicated to the development of a robust security system for IoT to protect sensor data. Traditionally, IoT systems have relied on fixed encryption keys shared between transmitters and receivers, which presented vulnerabilities as these keys could be easily compromised. In this study, we introduce an enhanced version of the AES algorithm with dynamic keys. In this modified algorithm, each cycle involves the XOR operation of four keywords with the sequence number. Each round of the AES algorithm incorporates various transformations, including DivideSwap, SubBytes, ShiftRows, MixColumns, and AddRoundKey, with the exception of the final round, which excludes the MixColumns operation. To implement and test this upgraded security approach, we utilized hardware components such as the Arduino Uno, ESP8266, and DHT11 sensors. The enhanced AES algorithm was integrated into the Arduino Uno to secure sensor data before transmission across the network. The results of our analysis demonstrate that the proposed IoT security method presents a significantly higher level of cryptographic resilience compared to the traditional AES algorithm, making it a robust solution for safeguarding IoT data.

Implementasi AES ECB dan Hashing MD5/SHA-256 Pada Aplikasi Penyuratan Android

The Riau Ministry of Religion Regional Office is still archiving assignment letters and official travel letters manually. The staff who take care of the correspondence section, namely personnel and legal unit staff, do not have an application that facilitates the activities of assignment letters and official travel letters to simplify filing and data containing certain information contained in letters which include assignment letters and official travel letters. Security is important because it relates to data. Therefore, a correspondence application was created to support the correspondence activities of the Riau Ministry of Religion Regional Office and make it easier for staff in the Civil Service and Legal unit to properly manage assignment letters and official travel letters as well as control books. Android application development uses the waterfall method and the ECB (Electronic Code Book) mode AES algorithm and MD5/SHA-256 hashing for security. By building this application, it will be easier for leaders and employees to exchange letters and confidential information, guaranteed security and the application built can be used by users easily. The results of the Black Box testing carried out on the application produced the expected output and the UAT test obtained a score of 89%. Application testing on sentences, Jpg, Png and PDF files has a fairly high level of security using statistical analysis methods, namely bit frequency testing, autocorrelation, 0/1 bit distribution, entropy.

Challenging Assumptions of Normality in AES s-Box Configurations under Side-Channel Analysis

Power-based Side-Channel Analysis (SCA) began with visual-based examinations and has progressed to utilize data-driven statistical analysis. Two distinct classifications of these methods have emerged over the years; those focused on leakage exploitation and those dedicated to leakage detection. This work primarily focuses on a leakage detection-based schema that utilizes Welch’s t-test, known as Test Vector Leakage Assessment (TVLA). Both classes of methods process collected data using statistical frameworks that result in the successful exfiltration of information via SCA. Often, statistical testing used during analysis requires the assumption that collected power consumption data originates from a normal distribution. To date, this assumption has remained largely uncontested. This work seeks to demonstrate that while past studies have assumed the normality of collected power traces, this assumption should be properly evaluated. In order to evaluate this assumption, an implementation of Tiny-AES-c with nine unique substitution-box (s-box) configurations is conducted using TVLA to guide experimental design. By leveraging the complexity of the AES algorithm, a sufficiently diverse and complex dataset was developed. Under this dataset, statistical tests for normality such as the Shapiro-Wilk test and the Kolmogorov-Smirnov test provide significant evidence to reject the null hypothesis that the power consumption data is normally distributed. To address this observation, existing non-parametric equivalents such as the Wilcoxon Signed-Rank Test and the Kruskal-Wallis Test are discussed in relation to currently used parametric tests such as Welch’s t-test.