Advanced Encryption Standard Algorithm Research Articles

An innovative method for enhancing advanced encryption standard algorithm based on magic square of order 6

This paper introduces an improved advanced encryption standard (AES) cipher algorithm by proposing a new algorithm based on magic square to decrease the AES execution time. This is done by replacing Mixcolumn function with magic square of order 6. This paper raises the security level of AES cryptosystem by using another key, which is generated using magic square while decreasing the execution time. For application of encrypting a colouring image, visual studio and MATLAB programs have been used as means for computing results. The results of complexity, time execution, National Institute of Standards and Technology (NIST) tests, histogram, differential attacks and peak signal to noise ratio (PSNR) are computed and compared with the original AES cryptosystem, the original and the proposed algorithms. The proposed algorithm results in reasonable findings under several evaluation metrics. For instance, the complexity of our proposed algorithm is higher than the basic AES while decreases the time execution. The experimental results show that the suggested algorithm provides an efficient and secure way for image encryption. The suggested algorithm leads to leverage the complexity of cipher process as well as to make the linear and differential cryptanalysis harder by pre-process the input image initial step of the proposed AES.

Analysis and description S-box generation for the AES algorithm-a new 3D hyperchaotic system

In this paper, a description, and analysis of a novel 3-D dimension hyperchaotic system is implemented. The proposed system oscillation is two-order autonomous and consisted of a nine-term and symmetric oscillation w.r.t x-axis. It is proved analysis by Kaplan-York dimension, waveform analysis, phase portrait, and Lyapunov exponent. This work-study stability and equilibrium point and Routh stability criteria produced that the new system has one unstable point from the type saddle-focus point. One of the characteristics of the proposed system is hyperchaotic since this system has two Lyapunov large than zero. This system is applied to generate a chaotic (S-box) based in advanced encryption standard (AES) algorithm for text encryption and gives a high level of security. In addition to the description, and analysis S-box. Therefore. the proposed algorithm is satisfied the high randomness of entropy value and passes the National Institute of Standards and Technology (NIST) parameters and another test. Mathematica and MATLAB programs simulated some results.

Convolutional neural network based key generation for security of data through encryption with advanced encryption standard

Machine learning techniques, especially deep learning, are playing an increasingly important role in our lives. Deep learning uses different models to extract information from the data. They have already had a huge impact in areas such as health (i.e., cancer diagnosis), self-driving cars, speech recognition, and data encryption. Recently, deep learning models, including convolutional neural networks (CNN), have been proven to be more effective in the security field. Moreover, the National Institute of Standards and Technology (NIST) recommends the advanced encryption standard (AES) algorithm as the most often utilized encryption method in several security applications. In this paper, a crypt-intelligent system (CIS) capable of securing data is proposed. It is based on the combination of the performance of CNN with the AES, by substituting the key expansion unit of AES with a CNN architecture that performs the key generation. Our CIS is described using very high-speed integrated circuit (VHSIC) hardware description language (VHDL), simulated by ModelSim, synthesized, and implemented with Xilinx ISE 14.7. Finally, the Airtex-7 series XC7A100T device has achieved an encryption throughput of 965.88 Mbps. In addition, the CIS offers a high degree of flexibility and is supported by reconfigurability, based on the experimental results, if sufficient resources are available, the architecture can provide performance that can satisfy cryptographic applications.

Description of Image encryption Using AES-256 bits

Abstract: Image Encryption using AES Algorithm is a technique to secure the confidentiality of images. One of the most popular and secure encryption algorithms is the AES (Advanced Encryption Standard) algorithm. It is a symmetric encryption algorithm that encrypts data using a 128-bit block cipher. In this process, the image is first converted into a binary format. Then, a random 128-bit key is generated, which is used to create a sequence of subkeys that will be used for each round of encryption. The binary image is then divided into 128-bit blocks, and the encryption algorithm is applied to each block using the subkeys generated earlier. This process ensures that the image is encrypted securely and is only accessible to those who have the key to decrypt it. One of the advantages of using AES is that it provides a high level of security, making it difficult for hackers to decrypt the encrypted data. Additionally, AES is a fast algorithm and can be implemented easily in hardware or software. The use of AES for image encryption ensures that the image is protected against unauthorized access and provides a secure way of transmitting sensitive images over the internet. Thus we can say that Image Encryption using AES Algorithm is a secure and efficient way to protect the confidentiality of images. It uses AES, a widely used encryption algorithm, to encrypt images securely, making it difficult for hackers to decrypt them without the key.

Secret Communication Using Multi-Image Steganography with Face Recognition and OTP System

Abstract: Our Proposed system is to develop a Web operation for hiding information in any image train to ensure the safety of the exchange of data between different military parties and give better security during communication transmission. We use the LSB fashion. The proposed approach uses a steganography algorithm to bed data in the image lines for military operations. For security purposes, we used modules face Recognition fashion with the AES algorithm for Strong Security purposes. And we use the cover channel fashion as an information-hiding fashion that can be exploited by a process to transfer information in a manner that violates the system security programs. Image steganography is the main aspect of information caching where the ciphertext is bedded into an image called a cover image which is coming to insolvable for the interferers to see with their naked eyes. The retired information can be any textbook, images, audio, or indeed videos inside a cover image. The abstract description ofMulti-image Steganography is that the secret law is divided into multiple corridors and is etched into multiple cover images. So we proposed two image steganography ideas to make it veritably grueling for the hackers to conceal the data. This paper proposes the Least significant bit( LSB) fashion of Steganography and the Advanced Encryption Standard( AES) fashion of Cryptography to make a safe and secure system. Then the sender and the receiver use the same key to encrypt and decipher the data which is popularly nominated a symmetric crucial Keywords AES Algorithm, LSB Algorithm, and Steganography.

Secure Cluster-based Routing using TCSA and Hybrid Security Algorithm for WSN

Wireless Sensor Network (WSN) is operated as a medium to connect the physical and information network of Internet-of-Things (IoT). Energy and trust are two key factors that assist reliable communication over the WSN-IoT. Secure data transmission is considered a challenging task during multipath routing over the WSN-IoT. To address the aforementioned issue, secure routing is developed over the WSN-IoT. In this paper, the Trust-based Crow Search Algorithm (TCSA) is developed to identify the Secure Cluster Heads (SCHs) and secure paths over the network. Further, data security while broadcasting the data packets is enhanced by developing the Hybrid Security Algorithm (HSA). This HSA is a combination of the Advanced Encryption Standard (AES) and Hill Cipher Algorithm (HCA). Therefore, the developed TCSA-HSA avoids malicious nodes during communication which helps to improve data delivery and energy consumption. The performance of the TCSA-HSA method is analyzed using Packet Delivery Ratio (PDR), Packet Loss Ratio (PLR), energy consumption, End to End Delay (EED), and throughput. The existing methods namely Optimal Privacy-Multihop Dynamic Clustering Routing Protocol (OP-MDCRP) and Secure and Energy-aware Heuristic-based Routing (SEHR) are used to evaluate the TCSA-HSA performances. The PDR of TCSA-HSA for 100 nodes is 99.7449%, which is high when compared to the OP-MDCRP and SEHR.

Implementasi Algoritma AES pada Autentikasi Login Sistem Informasi

The more rapid development of information technology, this has an impact and can cause changes in people's thinking patterns in communicating. In the past, the way people used to communicate remotely was still manual, namely by using letters. The lack of efficiency in sending letters encourages people's mindsets to create innovations that facilitate long-distance communication, namely via SMS, email, WhatsApp and the internet. One of the impacts of the development of message delivery technology is the tapping of data which makes the user feel insecure. One way to secure data breaches is by securing the sender's and recipient's email passwords using AES (Advanced Encryption Standard) cryptography. We conclude that the AES algorithm can be applied to encrypt passwords, so that passwords cannot be easily read by other users. In addition, the password will not be easily cracked.

In Situ Storing 8T SRAM-CIM Macro for Full-Array Boolean Logic and Copy Operations

Computing in-memory (CIM) is a promising new computing method to solve problems caused by von Neumann bottlenecks. It mitigates the need for transmitting large amounts of data between the processing and memory units, significantly decreasing the latency and energy consumption. However, writing back the calculation results for CIM can become a new bottleneck if only parallel computing is implemented. This study proposes a bidirectional static random access memory (SRAM) array structure comprising self-cycling eight-transistor (8T) cells, which can achieve full-array Boolean logic operations and read/write in two directions. The CIM results can be restored in <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in situ</i> bit cells in a single cycle without additional memory. In addition, any data row can be copied into another row by controlling the intermediate transistor in the 8T cell. A 16-kb SRAM was implemented in the 28-nm CMOS technology to verify the effectiveness of the proposed design. The throughput of the proposed CIM macro is 1851.4 GOPS. Compared with the existing CIM macros, the throughput increased 3–56.6 times and the energy efficiency was as high as 270.5 TOPS/W at a supply voltage of 0.66 V. When the proposed circuits were applied to advanced encryption standard (AES) algorithms, the energy efficiency is increased by about 47.5%–63% compared to the von Neumann architecture.

Secure Real-Time Multimedia Data Transmission from Low-Cost UAVs with A Lightweight AES Encryption

In the context of real-time wireless multimedia transmission from Unmanned Aerial Vehicles (UAVs), equipped with microphone arrays and cameras, data security is crucial. Data security should be guaranteed from the acquisition onboard the drones to its delivery to the destination node or ground station. A real-time light-weight application-level Advanced Encryption Standard (AES) encryption algorithm has been considered to be applied to multimedia data and supported by the single-board-computers mounted onboard the drones, with low computational power. The study shows that the main advances are related to the design of a streaming application in a transmission architecture for military counter-UAV scenarios that is effective, secure, quick, and trustworthy for audio and video data. A multiple synchronous key management is also newly experimented. The thorough experiments have confirmed the effective validity of the encryption and decryption processes, even in the presence of adverse radio spectrum conditions.

Repository and Retrieval of Data using AES Security in Cloud Computing Environment

Abstract: The use of the internet is continuously expanding. People exchange vast amount of digital data every day. Some information is critical and must be protected from unauthorised access. Encryption methods are critical for preventing unauthorised access to original data. To encrypt data, a variety of algorithms can be utilised. The Advanced Encryption Standard (AES) algorithm, which is extensively supported and used, is one of the most efficient algorithms available. The goal of this work is to demonstrate how to create secure file transfer using AES encryption and decryption techniques in a cloud environment. Hackers can intercept files as they are being sent from the source to the destination. If files are not wrapped, they can be easily exploited. Thus, AES algorithm is used to safeguard file transfer networks. If AES is employed in file sharing systems, it is claimed to dissuade thieves from attempting to steal data when sending files. According to the study's findings, AES offers more protection during data encryption and decryption during file transfers without interruption from hackers attempting to steal data intentionally.

Analisa Penyandian File Dokumen Kriptografi Menggunakan Advanced Encryption Standard (AES)

(Cryptography Advanced Encryption Standard (AES) for File Document Encryption). Advanced Encryption Standard (AES) is a cryptographic algorithms as a standard symmetric key encryption algorithm that used in current time. AES 128 has 1 blok plaintext with 128 bit sized, where in the process of cryptographic algorithms, first the plaintext is converted into hexadecimal-sized 4 x 4 matrices called the state, where each element of state has 1 byte size. The process of encryption on AES is the transformation towards the state repeatedly in the 10th round. Each round of AES requires one key result of the key generation using 2 basic transformation, i.e. substitution and transformation. AES encryption using 4 transformation by the following sequence: subbytes, shiftrows, mixcolumns, and addroundkey. On the other hand, the process of decryption is using the inverse of all the basic transformation of AES algorithm, except addroundkey. Therefore, the sequence of transformation on the decription is invshiftrows, invsubbytes, invmixcolumns, and addroundkey. In the data text, the encryption process is initiated with convertion the data text into ASCII code in hexadecimal numbers that are molded into the matrix 4 x 4 bytes. Next, do some basic transformation such as subbytes, shiftrows, mixcolumns, and addroundkey. However, when performing the transformation, the processed data on every trasformation is in the form of binary data obtained from the hexadecimal matrix. AES 128 bit cryptography have room 2128 keys which is a tremendous value and is considered secure to use to avoid the brute force attack.

The Design and Implementation of a Secure File Storage on the Cloud using Hybrid Cryptography

In recent years, cloud computing has become a popular way of storing and sharing data. However, security concerns have been raised about the safety of sensitive information stored on the cloud. Hybrid cryptography, which combines symmetric and asymmetric encryption, has been proposed as a solution to these concerns. This paper proposes a new hybrid cryptography approach for secure file storage on the cloud regardless of the type of deployment model i.e., either public cloud, private cloud, or hybrid cloud. The proposed approach uses a combination of the Advanced Encryption Standard (AES) algorithm, Triple Data Encryption Standard (DES) algorithm, and Rivest cipher 6 (RC6) algorithms are used to provide block-wise security to data. LSB steganography technique is introduced for key information security.

Performance Analysis Of The Combination Of Advanced Encryption Standard Cryptography Algorithms With Luc For Text Security

Data security is very important as it is easy to exchange data today.&#x0D; Cryptographic techniques are needed as data security techniques. Combining two cryptographic algorithms is a solution for a better level of security. The Advanced Encryption Standard (AES) cryptographic algorithm requires low computational power and is the best symmetric algorithm. The LUC algorithm is an asymmetric algorithm that was developed from the RSA algorithm and has advantages in a better level of security and processing speed. In this research, two symmetric and asymmetric cryptographic algorithms will be combined in a hybrid scheme, namely the AES and LUC algorithms to improve data security. the AES algorithm will encrypt and decrypt messages, while the LUC algorithm performs encryption and decryption of the AES key. The results showed that the combination of the two AES and LUC algorithms was successful. However, the computational time needed by the two algorithms to perform the encryption and decryption process increases. The simulation results of the brute force attack performed show that the LUC algorithm can still be attacked. The greater the value of E (the public key of the LUC algorithm), the longer it takes for the brute force attack to be successful. The value of E is also directly proportional to the computational time required by the LUC. So it can be concluded that the AES algorithm is less precise when combined with the LUC algorithm.

Advanced approach for encryption using advanced encryption standard with chaotic map

At present, security is significant for individuals and organizations. All information need security to prevent theft, leakage, alteration. Security must be guaranteed by applying some or combining cryptography algorithms to the information. Encipherment is the method that changes plaintext to a secure form called cipherment. Encipherment includes diverse types, such as symmetric and asymmetric encipherment. This study proposes an improved version of the advanced encryption standard (AES) algorithm called optimized advanced encryption standard (OAES). The OAES algorithm utilizes sine map and random number to generate a new key to enhance the complexity of the generated key. Thereafter, multiplication operation was performed on the original text, thereby creating a random matrix (4×4) before the five stages of the coding cycles. A random substitution-box (S-Box) was utilized instead of a fixed S-Box. Finally, we utilized the eXclusive OR (XOR) operation with digit 255, also with the key that was generated last. This research compared the features of the AES and OAES algorithms, particularly the extent of complexity, key size, and number of rounds. The OAES algorithm can enhance complexity of encryption and decryption by using random values, random S-Box, and chaotic maps, thereby resulting in difficulty guessing the original text.

Cloud data security and various cryptographic algorithms

&lt;p&gt;Cloud computing has spread widely among different organizations due to its advantages, such as cost reduction, resource pooling, broad network access, and ease of administration. It increases the abilities of physical resources by optimizing shared use. Clients’ valuable items (data and applications) are moved outside of regulatory supervision in a shared environment where many clients are grouped together. However, this process poses security concerns, such as sensitive information theft and personally identifiable data leakage. Many researchers have contributed to reducing the problem of data security in cloud computing by developing a variety of technologies to secure cloud data, including encryption. In this study, a set of encryption algorithms (advance encryption standard (AES), data encryption standard (DES), Blowfish, Rivest-Shamir-Adleman (RSA) encryption, and international data encryption algorithm (IDEA) was compared in terms of security, data encipherment capacity, memory usage, and encipherment time to determine the optimal algorithm for securing cloud information from hackers. Results show that RSA and IDEA are less secure than AES, Blowfish, and DES). The AES algorithm encrypts a huge amount of data, takes the least encipherment time, and is faster than other algorithms, and the Blowfish algorithm requires the least amount of memory space.&lt;/p&gt;

Enhanced AES-256 cipher round algorithm for IoT applications

Objectives: Networks have become a significant mode of communication in recent years. As a result, internet security has become a critical requirement for secure information exchange. Cryptography is used to securely send passwords over large networks. Cryptographic algorithms are sequences of processes used to encipher and decipher messages in a cryptographic system. One of those is the Advanced Encryption Standard (AES), which is a standard for data encryption in hardware and software to hide sensitive and vital information. The main objective is to design an AES system with modifications by the addition of primitive operations which can withstand several attacks and is more efficient.Method: AES works with three different key lengths: 128-bit keys, 192- bit keys, and 256-bit keys. The early rounds of AES have a poor diffusion rate. Better diffusion properties can be brought about by putting in additional operations in the cipher round and key generation algorithm of the conventional AES.Findings: The diffusion characteristics of the conventional AES and the proposed methodology are compared using the avalanche effect. The proposed AES algorithm shows an increased avalanche effect, which proves it to be more secure than the conventional AES. The proposed algorithm is executed on Vivado 2016.2 ISE Design Suite and the results are targeted on Zybo–Zynq Z-7010 AP SoC development board.Novelty: In addition, this paper also proposes an improved AES algorithm that was accomplished by altering the sub-bytes operation. This change was made to make it more reliant on round keys. This algorithm was also extended to a higher key length of 256 bits which makes the algorithm less vulnerable to attacks.

Implementation of AES Algorithm

Now a day’s large number of internet and wireless communication users has led to an increasing demand of security measures and devices for protecting the user data transmitted over the unsecured network so that unauthorized persons cannot access it . As we share the data through wireless network it should provide data confidentiality, integrity and authentication. The symmetric block cipher plays a major role in the bulk data encryption. Advanced Encryption Standard (AES) provides data security. AES has the advantage of being implemented in both hardware and software. Hardware implementation of the AES has lot of advantage such has increased throughput and better security level. Hardware Implementation for 128 bit AES (Advanced Encryption Standard) encryption and Decryption has been made using VHDL. The proposed algorithm for encryption and decryption module will functionally verified using modelsim, will be synthesize using Quartus 2 using Altera FPGA platform and analyze the design for the power, Throughput &amp; area.

Improving the IoT and Cloud Computing integration using Hybrid Encryption

Wireless Sensor Network (WSN) is an essential technology in many Internet of Things (IoT) applications, and since sensor nodes suffer from limited resources, it has become possible to overcome storage capacity problems using cloud computing, the integration of Internet of Things (IoT) with cloud computing (CC) seeks to achieve new levels of efficiency in service delivery. Security and privacy are key factors that slow down the rapid and widespread adoption and deployment of both IoT and cloud computing. In the proposed model, an integrated IoT system with cloud computing was developed starting from the analysis, and design, to the implementation to connect IoT devices with the cloud, the security is achieved by using a hybrid encryption mechanism which provides the performance advantages of symmetric and asymmetric encryption algorithms. Where the Elliptic Curve Cryptography (ECC) algorithm is used for key generation and AES (Advanced Encryption Standard) algorithm is used for encryption and decryption of the sensors' data to provide a reliable computing environment. We have implemented the proposed system and showed the results of using CONTIKI COOJA 3.0 that connected with the cloud service provider, Evaluate a set of performance metrics such as power consumption, packet delivery ratio, and the algorithm execution time, in addition to verifying network immunity against the black hole attack.

Hybrid Security Model for Medical Image Protection in Cloud

A cloud computing environment provides a cost-effective way for end-users to remotely store and retrieve private data through an internet connection anytime and anywhere. The security of these data cannot always be guaranteed because they can only be accessed by the end-user through a third-party interface, making them vulnerable to potential breaches of authentication and data integrity. This paper presents a secure hybrid approach for a medical image stored in the cloud that prioritizes data security and integrity. The suggested model employs a combination of Elliptic Curve Cryptography (ECC) and Advanced Encryption Standard (AES) algorithms to ensure authentication and data integrity. The results demonstrate its superiority over existing methods making the proposed model compliant with regulations of sensitive data stored in the cloud, such as the Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR) that dictate how personal information must be handled, stored, and processed. By contrast with traditional and other hybrid systems, this paper can conclude that this is one of the best methods to guarantee the security of medical images in the cloud.

An Encryption Approach Based on Formal Method for Securing Distributed Big Data Storage in Cloud Environment

Cloud computing is the technology used to store massive amounts of data (Big data) on Servers which locations are unknown to the user of the service. One of the major source of concern in security and privacy is the fact that cloud operators have chances to reach the sensitive data. This makes Cloud computing adoption by organizations with users’ sensitive details including the banking sector and government agencies marred by resentment. Therefore, a cryptography approach is proposed, named Secured Efficient Distributed Storage SecDcloud) model that is designed to obtain an efficient mass distributed service, and is supported by the Modified Alternative Data Distribution (MAD2) Algorithm Modified Secured Data distribution (MSED2) Algorithm as well as Improved Data Conflation (IDCon) Algorithm based on formal method. Our proposed mechanism aims to split, encrypt sensitive data and store the data to the different cloud servers without causing big overheads using formal method which prevents cloud service providers from directly accessing the user’s data. Our experiments, evaluated on security and efficiency of our technique, and is compared with state of the art Advanced Encryption Standard(AES) Algorithm and the results show that it is capable of effectively defending against the most common cloud-based threats while still maintaining a reasonable amount of processing time.