AES Algorithm Research Articles

An intelligent and efficient CNN-AES framework for image block encryption with a multi-key approach

Abstract The integration of cryptography and deep learning has become known as a promising way to improving image security in the context of escalating cyber threats, particularly in areas requiring secure image transmission. The proposed methodology involves a Convolutional Neural Networks model designed to encode 256 × 256 images, followed by partitioning the encoded output into 16 blocks and encrypting each block using the AES algorithm with 16 unique keys derived from an initial single key to secure image data. Extensive evaluation of the framework’s effectiveness is conducted using correlation analysis, which achieves a low correlation coefficient of approximately 0.03; high NPCR and UACI values of up to 99.4% and 51%, respectively; histogram analysis; PSNR; MSE; MAE; and the NIST test suite, among other metrics. The outcomes show that the framework is highly resistant to differential assaults and maintains minimal loss of image quality during the encryption and decryption processes. The approach addresses important issues in digital information security and unlocks the way to safer digital communications. It has major practical implications for private content sharing on social media platforms, secure medical imaging transmission, and the management of sensitive surveillance data. A comprehensive analysis shows that the proposed encryption algorithm works more effectively than the techniques presently in use for image encryption. This work highlights how deep learning and cryptography techniques can be combined to enhance image security as well as offer a robust solution to protect sensitive image data against cyber threats.

Secured File Sharing Through Quantum Computing

- In present technology, Quantum computing plays a versatile role in data security and privacy. There are many methods for securing the data one of the methods is cryptography. File encryption and decryption become easier when the AES and RSA algorithms improve security. Also, file sharing through the AWS cloud and downloading from it have become more secure for storing data. Here we can add files into images with the help of Stenography. The comparison among the AES and RSA algorithms of performance speed, key size, and bit size is evaluated. In this paper, we proposed a framework for quantum key-based embedding and de-embedding of files and images where security and privacy are achieved. Access IBM server gives us Quantum processing units(QPUs) that are ibm_sherbrooke, ibm_kyiv, and ibm_brisbane. It requires a total of 127 Qubits and 30K CLOPS. Keywords-AES, RSA, Cryptography, Stenography, AWS Cloud, IBM Server

Design Hybrid Architecture to Implement AES Algorithm on FPGA for IoT Applications

تتطلب خوارزميات التشفير عالية الأمان مثل AES قدرات حسابية عالية لتحقيق أمن المعلومات. لذلك، من الضروري استخدام بنيات الحوسبة المتوازية التي تستغل التقنيات الحديثة في التوازيات المكانية للحصول على أكبر قدر من القوة الحسابية التي يمكن تصورها. تم إدخال تقنيات مختلفة لتحقيق المعالجة المتوازية. إحداها هي مصفوفات البوابات القابلة للبرمجة ميدانيًا (FPGAs)، والتي تتميز بخصائص جيدة مناسبة لتنفيذ بنيات متوازية مع استهلاك أقل للطاقة. تهدف الورقة إلى تصميم وتنفيذ جهاز إرسال واستقبال مدمج لبنية محرك المعالجة الحاسوبية ذو أداء عالٍ للحصول على إنتاجية أفضل على تقنية FPGA لتشفير وفك تشفير الصور. في هذا التصميم، تم استخدام لوحتين، "DE1_Soc و NEEK board" مع جهاز Altera Quartus prime 18.1، وجهاز cyclone V 5CSEMA5F31C6 FPGA للتوليف والمحاكاة. أظهرت نتائج التنفيذ أن البنية المقترحة تتمتع بكفاءة الأداء من حيث تردد التشغيل 600 ميكا هرتز والإنتاجية 76.8 كيكا هرتز.

New Lightweight Cryptosystem for IoT in Smart City Environments

Internet of Things (IoT) devices, user interfaces (UI), software, as well as communication networks are all deployed within Smart Cities topology. The security approach designed for Internet of Things IoT should be able to prevent and detect both internal and external attacks. The problem in IoT network that not every linked node or device has an adequate amount of processing power. This means that data encryption and other related activities will be impossible and means that the security of any kind must be lightweight. A trustworthy security solution that stops illegal access to private data on the network is necessary for maintaining the privacy of information on the Internet of Things. Cryptographic processes need to be quicker and more compact without sacrificing security. The aim of this study is to reduce the execution time and power consumption of encryption processes without compromise the complexity of the encryption algorithm. This research presents a new lightweight cryptographic technique to protect various multimedia and real-time traffics across IoT network, by using two S-box in SubByte of encryption process, without affecting its performance. In this study, different audio samples will be used to test the new algorithm efficiency. Comparing the suggested method to the most advanced standard algorithm, it can reduce the cryptography process's execution time as well as energy consumption while maintaining the required security level. The outcomes demonstrate good performance in terms of power usage and delay. The new technique consumed a roughly 0.2 µJ for encryption process while the typical AES algorithm consumed 0.29 µJ, this mean the new algorithm achieved (33% power savings), while maintaining a good complexity level (security) within the process of encryption according to the results in tables I, II, and the comparison in table III. The novelty of this work can be showed by using dual XOR S-box technique which increased the complexity of SubByte process making it more secure without overload the processing performance, in addition to the reduction in encryption rounds which contribute to enhance the performance without compromise the security. Making it more suited for the Internet of Things (IoT) used in smart city environments.

S-BOX CONSTRUCTION IN THE ADVANCED ENCRYPTION STANDARD (AES) DEVELOPMENT ALGORITHM IN GF(2^2), GF(2^4) & GF(2^6)

This research aims to obtain a method for constructing S-boxes based on GF(22), GF(24) and GF(26). A review of the Galois Field GF(2m) is presented for m=1,2,3,4,5 and 6. Furthermore, it is used to construct an S-box based on GF(22), GF(24) and GF(26). Based on these results, later it can be developed for S-box construction in the AES algorithm which uses the Galois Field GF(2m) for m>=10.

Implementation of AES-256 Algorithm for Encryption on Chatting Platforms

This research aims to design and build a web-based corporate chat media using prototype methodology and AES (Advanced et al.) algorithm for data encryption. The platform has been developed with MERN technology (MongoDB et al.), which allows the application to be dynamic and responsive. Prototype methodology is used for iterative development based on user feedback, ensuring the application meets user needs. The AES algorithm is applied to maintain the confidentiality and security of each message sent and received. The results show that the application effectively provides efficient and secure communication for the company, with an intuitive and easy-to-use interface. Implementing MERN technology provides flexibility in the development and maintenance of the application, making it the right solution for corporate communication needs.

Trust and Affinity Based Clustering for Deterministic Multicast Routing Using Honey Badger Algorithm

Wireless Ad hoc networks (WANETs) and mobile ad hoc networks (MANETs) are forms of wireless networks with no central controller. In contrast to traditional networks based on routers and access points, ad hoc networks do not rely on pre-existing infrastructure. Recently, multicast routing protocols in MANETs have effectively managed group communications. The multicast routing protocol can greatly increase the reliability of the MANET network. This protocol aims to minimize the energy consumption (EC) and network lifetime of the MANET to address these issues. This paper presents a novel Affinity based Clustering for Deterministic Multicast Routing (ACD-MR). The overall process is carried out in three stages: cluster head selection (CHs), trust management, and routing. In the initial phase, the cluster head (CH) is selected and utilizes affinity propagation based on node degree, distance, energy, and lifetime. In the second phase, the data are encrypted using the enhanced AES algorithm, and the trust value of each node is calculated employing direct and indirect trust. In the third phase, the Honey Badger algorithm is employed to select an optimal route. The proposed ACD-MR model’s performance is calculated utilizing various parameters, including the network lifetime, average end-to-end delay, EC, packet delivery ratio (PDR), and detection ratio. The proposed model increased the network lifetime by 17.24%, 19.45%, and 22.34% better than MLLR, CS-MAODV, and DQN, respectively.

Encryption and Decryption Images Using AES Algorithm

Encryption and Decryption Images Using AES Algorithm

Enhancing image data security using the APFB model

Ensuring the confidentiality of transmitting sensitive image data is paramount. Cryptography recreates a critical function in safeguarding information from potential risks and confirming the identity of authorised individuals, thereby addressing the growing demand for enhanced image security. This paper presents a novel AES-permuted Feistel Blowfish (APFB) model that aims to improve image data security cost-effectively and enhance data protection by incorporating AES and Blowfish algorithms. The proposed model's utility over existing approaches stems from its computational efficiency and speed. The proposed model's resilience and security against several attack modalities are validated through a comprehensive range of methods, including extensive experimentation, histogram analysis, PSNR, entropy, MSE, CC, computational time, and NIST statistical tests. The outcomes yielded a PSNR of 67.26, NPCR of 99.6354, and UACI of 33.412. Additionally, the applicability of the proposed model is validated by utilising a practical case analysis. The outcomes exhibit the relevance of the proposed model in real-world applications.

A new chaotic image encryption algorithm based on a modified version of the AES algorithm

A new chaotic image encryption algorithm based on a modified version of the AES algorithm

Communication security of intelligent information service platform combining AES and ECC algorithms

ABSTRACT The rapid progress of information technology has made the status of information service platforms increasingly prominent in social operations. However, their communication security is also facing unprecedented challenges. In response to the issues of insufficient security and efficiency in traditional encryption algorithms, this study combines advanced encryption standard algorithms with elliptic curve cryptography algorithms to generate encryption key pairs through elliptic curve cryptography algorithms. It utilizes advanced encryption standard algorithms to generate symmetric keys, and then encrypts the keys of the advanced encryption standard using the public key of the elliptic curve cryptography algorithm. Based on this, it implements advanced encryption standard encryption on data and designs a hybrid encryption algorithm. The results showed that the throughput of this method was 4000bit/s, with a delay of 550 m, which is higher than other algorithms, proving its high efficiency in processing data. The average bit change of the ciphertext in the hybrid encryption algorithm was 55.8 bits, with a range of bit changes of [69.3, 82.7], which is significantly higher than other algorithms, proving its high security. The designed algorithm has significant benefits in communication security of information service platforms and plays an important role in promoting the development of future network security defense technology.

IMPLEMENTATION OF AES AND SHA-3 CRYPTOGRAPHY ALGORITHMS IN SECURING USER SENSITIVE DATA ON THE ARTESIAN WATER BILL PAYMENT TRANSACTION WEBSITE

Transacting online is something that is familiar to almost everyone in the digital era. The presence of digital transactions brings convenience in carrying out trading activities, but the use of the internet in creating easy transactions with several challenges in the form of hacking. In order to realize secure transactions, the level of protection on digital transaction service provider sites must be made as strong as possible to prevent digital attacks. Therefore, a protection system for user payment data on one of the transaction websites was created by applying the AES and SHA-3 cryptographic algorithm methods. The AES algorithm method was chosen because its implementation is not complicated but has proven its security, while SHA-3 is used to create unique keys from user passwords with the latest hash technology, so that the data encryption and decryption process becomes more protected because it uses the secret key of each user but not directly. The application of cryptographic algorithms will provide additional protection for the security of nominal user transaction data from cyber attacks so that the data. This research will produce a cryptography program flow with the Python programming language and examples of encryption and hash process results during program execution.

IMPLEMENTATION OF AES AND SHA-3 CRYPTOGRAPHY ALGORITHMS IN SECURING USER SENSITIVE DATA ON THE ARTESIAN WATER BILL PAYMENT TRANSACTION WEBSITE

Transacting online is something that is familiar to almost everyone in the digital era. The presence of digital transactions brings convenience in carrying out trading activities, but the use of the internet in creating easy transactions with several challenges in the form of hacking. In order to realize secure transactions, the level of protection on digital transaction service provider sites must be made as strong as possible to prevent digital attacks. Therefore, a protection system for user payment data on one of the transaction websites was created by applying the AES and SHA-3 cryptographic algorithm methods. The AES algorithm method was chosen because its implementation is not complicated but has proven its security, while SHA-3 is used to create unique keys from user passwords with the latest hash technology, so that the data encryption and decryption process becomes more protected because it uses the secret key of each user but not directly. The application of cryptographic algorithms will provide additional protection for the security of nominal user transaction data from cyber attacks so that the data. This research will produce a cryptography program flow with the Python programming language and examples of encryption and hash process results during program execution.

Implementation of Hybrid Encryption Algorithm

This paper presents an analysis of a message encryption scheme that harnesses the strengths of both the RSA and AES algorithms. Through a detailed comparison of RSA and AES in terms of encryption and decryption time, security, key management, and key length, we developed a hybrid scheme that leverages the speed advantage of AES for encryption operations and the stability and key management strengths of RSA. Our analysis demonstrates how the integration of these two algorithms can enhance overall security and performance, effectively combining their respective advantages.  Motivation There are various applications using client- server mechanism but the communication channel is not secure that much and existing methods are not so efficient thus there is need to come up with an efficient and better approach.  Objective Our objective through this project is to constructa hybrid algorithm which is capable of overcoming the disadvantages of the existing methods and provide us with muchbetter approach in terms of various parameters.

FPGA Acceleration of AES Algorithm for High-Performance Cryptographic Applications

This research paper presents the FPGA implementation of the AES-128 Algorithm as an accelerator tailored for high-performance cryptographic applications. Leveraging the capabilities of the Virtex-7 evaluation kit, the AES algorithm is meticulously coded using Xilinx Vivado software. The results of the implementation reveal a resource-efficient design, utilizing 588 Look-Up Tables (LUTs) and 353 Flip Flops. This implementation showcases the efficacy of FPGA technology, specifically the Virtex-7 device, in achieving a fine balance between algorithmic complexity and resource utilization for cryptographic acceleration. The abstract underscores the significance of this research in advancing the field of hardware-accelerated cryptographic applications, offering a scalable solution with promising resource efficiency on the FPGA platform.

Multi-Level Encryption System using AES and RSA Algorithms

Abstract: As the volume of sensitive data entrusted to the cloud explodes, from healthcare records to financial transactions, the need for robust security solutions intensifies. Traditional encryption techniques, while effective, remain vulnerable to key compromise, leaving data exposed to malicious factors. This study proposes a multi-level encryption strategy that leverages the power of AES for efficient data encryption, RSA for secure key protection with public-key cryptography, and role-based encryption for granular access control. This layered approach significantly increases the computational complexity for unauthorized access, making brute-force or dictionary attacks exponentially more difficult. Our research demonstrates successful integration of these algorithms, achieving a 50% reduction in key compromise risk and enhanced data integrity through MAC verification. Moving forward, we envision seamless integration with multiple cloud platforms and exploring advanced access control mechanisms based on user context and behavior. This multi-level encryption strategy holds immense potential to reshape the landscape of cloud data security, fostering a more secure and trustworthy digital future.

Cryptography-based location privacy protection in the Internet of Vehicles

The evolution of the Internet of Things paradigm in recent years demonstrate a significant impact on the transportation sector, leading to the emergence of a new research field, known as the Internet of Vehicles (IoV). In the IoV, vehicles can exchange information with each other and with the roadside units making use of Vehicular Ad Hoc Networks (VANETs). As this technology reaches near-to-market maturity levels, several issues arise related to the protection of users’ privacy, while the interest of adversaries for such private user data in IoV environments gets stronger. This paper aims to present a review of the state-of-the-art techniques tackling the protection of location privacy in IoV environments, as well as experimental evaluation findings regarding the usage of various cryptographic algorithms for the protection of information exchange in these networks. In the conducted evaluations, the AES algorithm has been used as the main standard, which has been coupled with several other encryption/decryption algorithms, such as RSA, ECC and NTRU. The metrics used for the evaluation include measurements over the key generation process, the certificate generation, the encryption/decryption times, the signature generation/verification times, etc. Moreover, the size of messages in the negotiation, the pseudonym exchange and the new pseudonym enabling phases has been recorded, while the energy consumption in the exchange pseudonyms phase has also been measured. All previous experiments have been carried out mainly on NS-3 and SUMO open-source software aiming to have an estimation of how the aforementioned algorithms behave under constrained resources such as CPU usage and power.

Enhanced image encryption using AES algorithm with CBC mode: a secure and efficient approach

Enhanced image encryption using AES algorithm with CBC mode: a secure and efficient approach

A Modified AES-512 Bits Algorithm for Data Encryption

Privacy is given top priority as far as communication involving transfer of confidential document or data is concerned. There is therefore a need to keep confidential data secretive from being invaded by unauthorised access, and this is done through cryptography algorithms, where the Advanced Encryption Standard algorithm has been the widely accepted symmetric block encryption algorithm for such purposes. This paper therefore focuses on developing a new AES-512 bits symmetric encryption algorithm through modification of the conventional AES-128 algorithm to be used purposefully in the classroom for document transfer.The development comes with increasing the plaintext bits of the conventional AES-128 algorithm to 512 bits plaintext which undergoes five operational transformations: STATE, SKGF, SRL, SCL and AARC through key size in the Galois field, GF(29). A numerical example is then given to explain the use of the algorithm, and finally, we provide a comparative study of this algorithm and other existing symmetric encryption models, such as the AES-128 and DES algorithms.

Image Encryption and Steganography Method Based on AES Algorithm and Secret Sharing Algorithm

Image Encryption and Steganography Method Based on AES Algorithm and Secret Sharing Algorithm