AES Algorithm Research Articles

An improvement of both security and reliability for AES implementations

Cryptographic circuits, because they contain confidential information, are subject to fraudulent manipulations, commonly called attacks, by ill-intentioned people. Several attacks have been identified and analyzed. One of the most efficient attacks, called DFA (Differential Fault Analysis) cryptanalysis, exploits the presence of faults, injected voluntarily by the attacker, for example with a laser, in the calculations. Countermeasures are then developed and validated to protect the hardware implementation of cryptographic algorithms such as AES algorithm. The present paper aims to protect the AES algorithm against fault injection attacks. In this paper, an efficient fault detection method for the AES algorithm has been developed. In our proposed design, the AES round architecture is devised into three parts and two pipelines registers are inserted in between. Our simulations show that fault detection capabilities of the proposed method for random fault archives 99.539%. The error detection structure can detect the inserted faults with good coverage using the proposed approach. In order to verify the accuracy of our results, we compare our implementation result with the results presented in the literature. Note that the results obtained are competitive with existing implementations. Our fault detection method has the ability to achieve a compromise of safety level and low implementation cost.

Cloud storage system of teaching resources based on internet of things

In order to overcome the problems of high resource occupancy rate, poor data storage security and slow resource access speed in traditional teaching resource storage systems, a cloud storage system of teaching resources based on internet of things is proposed. The system consists of a user access module, resource management module and resource cloud storage module. The user access module is responsible for the user registration and login functions, the resource management module uses the data similarity measurement method to merge the duplicate data of teaching resources, and the resource cloud storage module encrypts the teaching resources through the AES algorithm in the internet of things. The experimental results show that the resource occupancy rate of cloud storage of teaching resources is only 30%, the security of data encryption can reach 97%, and the shortest storage speed of teaching resources is about 2.2 min.

Design and Implementation of True Parallelism Quad-Engine Cybersecurity Architecture on FPGA

Applications, such as Internet of Things, deal with huge amount of transmitted, processed and stored images that required a high computing capability. Therefore, there is a need a computing architecture that contribute in increasing the throughput by exploiting modern technologies in both spatial and temporal parallelisms. This paper conducts a parallel quad-engine cybersecurity architecture with new configuration to increase the throughput. using DE1-SoC and Neek FPGA boards and HDL. In this architecture, each engine operates with 600MHz maximum frequency. Each image is divided into four parts of equal size and each part processed by single engine concurrently to achieve spatial parallelism. Internally, engine is handling image’s part in temporal parallelism and deep pipelining abstraction applied in every engine by dividing it to sub modules to execute different tasks concurrently. All data processed in engines is encrypted via AES algorithm that implemented as a significant part of engine architecture. The obtained results increased the throughput by four times, with 153,600Mbps, that make this computing architecture efficient and suitable for fast applications such as IoT and cybersecurity level of processing.

Proposed Architecture Diagrams for developing an electronic system based on block chain technology to secure confidential data in university

The current system inside Egyptian universities s relies on the minimum and traditional methods of securing data that do not keep pace with the current digital development. Therefore, the education sector needs to take advantage of the advantages of block chain technology in securing and encrypting data from the risks of hacking and leakage of records. Through the above, an electronic system for generating a data encryption key based on block chain technology and the AES algorithm has been proposed.

Gray Image and Colour Image Security using AES Algorithm

For picture security and confirmation we utilize cryptographic. In cryptographic we scramble the information. There are various symmetric and deviated encryption procedures, which are used for encryption and unscrambling reason. Symmetric encryption approach work on ordinary key (same key utilized for encryption and unscrambling reason), but unbalanced work on with one public key and private key. Public key utilized for encryption and private key for unscrambling. The security of the stowing away is measure utilizing the MSE, PSNR, Cross-Correlation and Entropy limits. For better stowing away get the low MSE and high PSNR respects. So to make the rapid reaction we need calculation which requires some speculation and give reaction quick. From this point forward additionally take apart the time reaction of purposed assessments to additionally foster security and expedient response.

Securing File sharing System in cloud environment using AES Algorithm

In the prevailing paper, delivered a fuzzy weakly ordering the use of fuzzy metric area and fuzzy partial metric area.

Securing the light escaping in a Li-Fi network environment

Nowadays, everyone knows Wi-Fi. The technology that ensures connection of computer equipment. It is now positioned as the easiest way to interconnect multiple end users because It allows user mobility in workspaces, avoids cable clutter within the network coverage, such as offices, homes and so on. Despite these advantages, several scientific studies have shown that this technology can raise security and safety issues and is dangerous to human health, and therefore not suitable for hospital networks. In an attempt to overcome these difficulties, Li-Fi technology based on visible light is beginning to interest researchers. This technology is considered more secure than Wi-Fi because the light can be contained in a physical space and waves can’t pass through walls and other objects. Unfortunately, when the physical environment contains spaces that can escape light to the outdoors, this can be a security risk for Li-Fi because it uses light sources to transmit data. That why, in this paper, the main differences between Wi-Fi and Li-Fi technologies are explained, and a Li-Fi architecture provided with an authentification captive portal and a data transfer security mechanism between end users based on the AES algorithm is proposed. The developed prototype and the architecture proposed guarantee the security of the Li-Fi network even if the physical environment is provided with multiple light escape spaces.

Enhanced Security in Supply Chain Management System Using AES and Md5 Algorithms

Enhanced Security in Supply Chain Management System Using AES and Md5 Algorithms

Methods of crypto-stable symmetric encryption in the residual number system

This paper proposes new symmetric cryptography algorithms of Residue Number System and its Modified Perfect Form. According to the first method, ciphertext is regarded as a set of residues to the corresponding sets of modules (keys) and decryption or decimal number recovery from its residues takes place according to the Chinese Remainder Theorem. To simplify the calculations, it is proposed to use a Modified Perfect Form of Residue Number System, which leads to a decrease in the number of arithmetic operations (in particular, finding the inverse and multiplying by it) during the decryption process.Another method of symmetric encryption based on the Chinese Remainder Theorem can be applied when fast decryption is required. In this algorithm, the plaintext block is divided into sub-blocks that are smaller than the corresponding module and serve as remainders on dividing some number, which is a ciphertext, by these modules. Plaintext recovery is based on finding the ciphertext remainders to the corresponding modules. Examples of cryptography algorithms implementation and their encryption schemes are given.The security of the proposed methods is estimated on the basis of the Prime number theorem and the Euler function. It is investigated which bitness and a number of modules are required for the developed symmetric security systems to ensure the same security level as the largest length key of the AES algorithm does. It is found that as the number of modules increases, their bitness decreases. Graphical dependencies of cryptanalysis complexity on bitness and a number of modules are built. It is shown that with the increase of specified parameters, the security of the developed methods also increases.

Hybrid Secure Model for Securing Data in The Cloud Computing System by Combining RSA, AES and CP-ABE

The cloud healthcare system represents an important application for cloud computing, as it uses the cloud for the operations of storing patient medical data and sharing it between health care service providers and patients, making the security and privacy of e-health system data the main concern of researchers. This paper presents an integrated secure model for the healthcare system in cloud computing that achieves the security and confidentiality of data transferred through cloud computing, by combining the two algorithms AES and RSA with the access control algorithm CP-ABE in order to use the advantages of each of them, where the encryption process is done by a proposed algorithm which is based on the RSA algorithm, the XOR parameter, and the AES algorithm; the secrecy of the AES algorithm has been increased by generating a dynamic key, and the confidentiality of this key has been secured with two encryption levels, the first level using the CP-ABE algorithm and the second level using the RSA algorithm. The proposed model is characterized by meeting the requirements of access control, authentication, and verification for both the transmitter and the receiver, and the results of the application of this model proved its ability to meet the security requirements of the health care system in cloud computing with the lowest possible implementation time, as the execution times were at the transmitter's end (43.2, 43.83, 45.11, 48. 23, 50.77, 52.16, 57.95, 63.2, and 63.35)ms for variable file sizes (37, 50, 100, 150, 200, 256, 512, 1000, and 1024)KB, respectively. The results also showed its superiority in terms of security requirements in cloud computing and the necessary implementation times on studied reference models.

Perbandingan Keacakan Citra Enkripsi Algoritma AES dan Camelia Uji NPCR dan UACI

The need for data security arises because of the many threats made by outside parties to retrieve data and use it for personal interests. Security for medical images is carried out because medical images store patient health information data that is confidential. In this study, the image data used specifically uses radiological medical images. There are many techniques and algorithms that can be used to secure image data. This study uses the AES and Camellia algorithms which in their application use several different operating modes. To measure the quality of the encrypted image, the randomness level of the image was tested using the NPCR and UACI tests. Evaluation is used to determine the best algorithm and operating mode for encryption. Based on the measurement of image randomness on AES CBC, AES CFB, AES OFB, Camellia ECB, Camellia CBC, and Camellia OFB with NPCR values for encrypted images of 99.60%, 99.608%, 99.6093%, 99.6296%, 99.6072 %, and 99.6124%. Measurement of image randomness on AES CBC, AES CFB, AES OFB, Camellia ECB, Camellia CBC, and Camellia OFB with UACI values for encrypted images of 34.714%, 34.754%, 34.603%, 34.983%, 34.615%, and 34.707%.

A New Hybrid Automated Security Framework to Cloud Storage System

The need for cloud storage grows day after day due to its reliable and scalable nature. The storage and maintenance of user data at a remote location are severe issues due to the difficulty of ensuring data privacy and confidentiality. Some security issues within current cloud systems are managed by a cloud third party (CTP), who may turn into an untrustworthy insider part. This paper presents an automated Encryption/Decryption System for Cloud Data Storage (AEDS) based on hybrid cryptography algorithms to improve data security and ensure confidentiality without interference from CTP. Three encryption approaches are implemented to achieve high performance and efficiency: Automated Sequential Cryptography (ASC), Automated Random Cryptography (ARC), and Improved Automated Random Cryptography (IARC) for data blocks. In the IARC approach, we have presented a novel encryption strategy by converting the static S-box in the AES algorithm to a dynamic S-box. Furthermore, the algorithms RSA and Twofish are used to encrypt the generated keys to enhance privacy issues. We have evaluated our approaches with other existing symmetrical key algorithms such as DES, 3DES, and RC2. Although the two proposed ARC and ASC approaches are more complicated, they take less time than DES, DES3, and RC2 in processing the data and obtaining better performance in data throughput and confidentiality. ARC outperformed all of the other algorithms in the comparison. The ARC’s encrypting process has saved time compared with other algorithms, where its encryption time has been recorded as 22.58 s for a 500 MB file size, while the DES, 3DES, and RC2 have completed the encryption process in 44.43, 135.65, and 66.91 s, respectively, for the same file size. Nevertheless, when the file sizes increased to 2.2 GB, the ASC proved its efficiency in completing the encryption process in less time.

Biometric Cryptosystem to Secure Smart Object Communications in the Internet of Things

Smart cities are viewed as one of the strengths of developed countries. Despite its novelty, It has attracted a lot of attention, prompting major tech companies to invest in various aspects related to their design. In fact, the Internet of Things is the most important pillar of these cities, as it allows almost everything, including machines, animals, and people, to be connected to the Internet and interact with one another. Like any electronic application, the security aspect is one of the most difficult challenges in the creation and design of such networks. As a result, in this paper, we proposed a secure IoT framework based on cloud computing. In this study, we focused on the security aspect of connecting people to their objects using biometric cryptosystems. Our proposed cryptosystem uses the concepts of a chaotic system combined with hand-palm biometrics, and uses the oriented Basic Image Features (oBIF) as a feature extraction method. The user message is then encrypted using the AES algorithm, while the user template is encrypted by a proposed algorithm.

Third Party Public Auditing Scheme for Cloud Storage

Abstract: Thus the new auditing scheme has been developed by considering all these requirements. It consist of three entities: data owner, TPA and cloud server. The data owner performs various operations such as splitting the file to blocks, encrypting them, generating a hash value for each, concatenating it and generating a signature on it. The TPA performs the main role of data integrity check. It performs activities like generating hash value for encrypted blocks received from cloud server, concatenating them and generates signature on it. It later compares both the signatures to verify whether the data stored on cloud is tampered or not. It verifies the integrity of data on demand of the users. The cloud server is used only to save the encrypted blocks of data. This proposed auditing scheme make use of AES algorithm for encryption, SHA-2 for integrity check and RSA signature for digital signature calculation. In this philosophy, users of cloud storage services no longer physically maintain direct control over their data, which makes data security one of the major concerns of using cloud. Existing research work already allows data integrity to be verified without possession of the actual data file. When the verification is done by a trusted third party, this verification process is also called data auditing, and this third party is called an auditor. As a result, every small update will cause re-computation and updating of the authenticator for an entire file block, which in turn causes higher storage and communication overheads. In this paper, we provide a formal analysis for possible types of fine-grained data updates and propose a scheme that can fully support authorized auditing and fine-grained update requests. Basedon our scheme, we also propose an enhancement that can dramatically reduce communication overheads for verifying small updates Keywords: Cloud computing, big data, data security, authorized auditing, fine-grained dynamic data update

A secure image encryption based on spatial surface chaotic system and AES algorithm

A secure image encryption based on spatial surface chaotic system and AES algorithm

FPGA implementation of AES algorithm for high speed applications

FPGA implementation of AES algorithm for high speed applications

New chaotic satellite image encryption by using some or all the rounds of the AES algorithm

ABSTRACT This study suggests new satellite chaotic image encryption by using some or all the rounds of the AES algorithm to improve security techniques to protect sensitive data and images during transmission between satellites and ground stations. First, the 7D hyperchaotic system generates the initial key of the pseudo-AES algorithm by using the first and the second variables of the hyperchaotic system. Second, the pseudo-AES algorithm consists of several rounds, where two of them are fixed rounds (the first and the last rounds of the classical AES algorithm), while the number of the remaining rounds depends on the value of the third variable of the hyperchaotic system which considered as a determiner. Third, the permutation operation is applied to the output of the pseudo-AES algorithm by an arrangement permutation on the rows and the columns using the fourth and fifth variables of the hyperchaotic system. Finally, the remaining two variables of the hyperchaotic system are used to generate a mask matrix to be XORed with the output of the previous step to obtain the final cipher image. Moreover, the experimental results show that the proposed technique of encryption for satellite images has extraordinary resistance against well-known attacks.

DATA ENCRYPTION ALGORITHM AES BY USING BLOCKCHAIN TECHNOLOGY: A REVIEW

Blockchain is used as encryption algorithm in cryptocurrency, but less researches are found to study blockchain for data encryption. Data encryption is needed to protect the data from data theft. We know about data encryption, there are RSA, LEAP, AES, and other algorithms. This research proposed a review in AES algorithm for data encryption within blockchain technology. The research process is followed by determining library, then creating relevant questions and criteria. For good opportunity in the future, this paper generated suggestions and opportunities so that better research can be established in data encryption.

Analysis security system performance MIPv6 in signaling process using AES and Twofish algorithms

Mobile technology has become a necessity for modern society in the digital era. The ease of various information processes is a driving force for the growth of mobile users. To support continuous connectivity, Mobile IPv6 (MIPv6) is a solution and successor to the current Mobile IPv4 technology. Mobility in accessing a wide range of services is carried out via the Internet, but activities on the Internet make us vulnerable to various malicious acts. Issues such as information security as well as high overheads are a concern for mobile communications. An encryption mechanism is required throughout the signaling phase to construct security associations to enhance MIPv6 security performance. IPsec offers security services at the network layer. There are three encryption algorithms in IPsec, namely DES, 3DES, and AES. The DES algorithm is no longer recommended due to security factors, while AES is still not optimal in wireless networks. This study aims to analyze the performance of the MIPv6 security system and service quality with the AES and Twofish algorithms. Twofish algorithm is a candidate that has the potential for better performance. The experiment concluded that the performance of the Twofish algorithm is superior based on the security of cryptanalysis attacks with a cracking time that is twice as long as AES. In terms of service quality, Throughput Twofish has an increase of 20.05% with a small delay compared to AES, while packet loss is 0.023% for Twofish and 0.077% for AES. Teknologi seluler menjadi kebutuhan masyarakat modern di era digital, kemudahan berbagai proses pengelolaan informasi menjadi pendorong pertumbuhan pengguna seluler. Untuk mendukung konektivitas berlanjut, Mobile IPv6 (MIPv6) menjadi solusi sekaligus penerus teknologi Mobile IPv4 saat ini. Mobilitas akses layanan yang luas dilakukan melalui Internet, namun aktivitas di jaringan Internet membuat kita rentan terhadap berbagai tindakan jahat. Masalah seperti keamanan informasi serta overhead yang tinggi menjadi perhatian komunikasi seluler. Untuk meningkatkan performa keamanan MIPv6, diperlukan metode enkripsi saat proses pensinyalan yang akan membangun asosiasi keamanan. IPsec menawarkan layanan keamanan di lapisan jaringan. Terdapat 3 algoritma enkripsi dalam IPsec, yaitu DES, 3DES, dan AES. Algoritma DES sudah tidak direkomendasikan karena faktor keamanan, sementara AES masih belum optimal dalam jaringan nirkabel. Penelitian ini bertujuan untuk menganalisis performa sistem keamanan dan kualitas layanan MIPv6 dengan algoritma AES dan Twofish. Algoritma Twofish merupakan kandidat yang memiliki potensi performa yang lebih baik. Eksperimen berhasil menyimpulkan bahwa performa algoritma Twofish unggul berdasarkan keamanan serangan kriptoanalisis dengan waktu cracking dua kali lebih lama dibandingkan AES. Dari segi kualitas layanan, Throughput Twofish memiliki kenaikan 20,05% dengan delay yang kecil dibanding AES sementara packet loss masing-masing 0,023% pada Twofish dan 0,077% pada AES.

The Role of AES and RC5 Algorithm: A Cryptosystem Model to Secure Information in the Image based Steganography along with Watermarking

In the brand new technology of cutting-edge technological know-how and era is advanced day via way of means of day. The information confidentiality is danger everywhere in the global and it will increase rapidly. Steganography and cryptography are very vital strategies applied in facts safety to cowl and steady mystery messages in transmitting facts. In this we launch, put in force and check a completely sole technique that can be used as a steady and extraordinarily budget friendly technique {of facts|of knowledge|} interest in addition to information extracting (Jagadeesan, S., 2020). Some efficiency parameters are going to be thru an test received and in comparison with opportunity current approaches parameters to show the efficiency of the deliberate technique. Here we proposes a brand new method to hiding the information the use of steganography strategies primarily based totally on AES and RC5 set of rules cryptosystem. The word Steganography is the splendor of hiding mystery information in the back of the photos, videos, sound and textual content to cowl the name of the game communication. Cryptosystem is the system which given our technique extra perfection. The visible first-class of the quilt photo certainly nice, nobody can consider it how personal information are transmitted the use of this technique. This suggest technique and set of rules ability is exceedingly bendy than different posted set of rules. The AES and RC5 set of rules has no more difficulty and it looks as if thoroughly to hiding the personal information.