Advanced Encryption Standard Research Articles

Penerapan Algoritma AES (Advanced Encryption Standard) Untuk Meningkatkan Keamanan Data Pribadi

Data security is one of the most crucial aspects in today's digital era. When it comes to storing and transmitting personal data, it is highly sensitive, and proper protection is necessary to prevent unauthorized access and potential misuse of information. One effective method to ensure data confidentiality is through the use of strong encryption algorithms, and one internationally recognized encryption algorithm is the Advanced Encryption Standard (AES). The aim of this research is to implement the AES algorithm to enhance the security of personal data. This study will examine and analyze the implementation of AES in an application involving the transmission and storage of personal data. Furthermore, it will involve testing and evaluating the security of the applied AES algorithm. The research methodology employed in this study is research and development.

Lightweight Cryptography for Internet of Things: A Review

The paper examines the rising significance of security in Internet of Things (IoT) applications and emphasizes the need for lightweight cryptographic solutions to protect IoT devices. It acknowledges the growing prevalence of IoT in various fields, where sensors collect data, and computational systems process it for action by actuators. Due to IoT devices' resource limitations and networked nature, security is a concern. The article compares different lightweight cryptographic block cipher algorithms to determine the best approach for securing IoT devices. It also discusses the merits of hardware versus software solutions and explores potential security threats, including intrusion and manipulation. Additionally, the article outlines future work involving the implementation of the trusted Advanced Standard Encryption block cipher in IoT devices, including its use in quick-response (QR) code scanning and messaging platforms. It acknowledges existing drawbacks and suggests areas for improvement in IoT system performance and security.

Hybrid RSA–AES-Based Software-Defined Network to Improve the Security of MANET

Abstract Software-defined networking offers a flexible and programmatically efficient network design. Security in today’s ad hoc mobile wireless network is paramount and incredibly challenging. Software-defined network is used to automatically and dynamically manage and control large network devices, network services, traffic paths, network topology, and packet management (quality of service). Recently different attackers are attacking our data when forwarding from one device to another. Therefore, software-defined networking and a Hybrid Rivest, Shamir, and Adelman (RSA)–Advanced Encryption Standard (AES) cryptography algorithm are needed to establish the concept of software-defined networking in mobile ad hoc networks to improve security and routing efficiency. The proposed Hybrid Cryptography Algorithm (HCA)-Based SDN mainly creates strong detection, prevention, and authentication mechanisms for MANET. The proposed secure data channel throughput increased by 0.4%, and the suggested system latency was 3.6% lower than the Normal MANET. It is already proved that the Hybrid cryptography algorithm also generates a key for security faster than RSA (Rivest, Shamir, and Adelman). The performance of the RSA–AES (hybrid) approach for encrypting and decrypting broad data significantly beats the RSA-Blowfish algorithm. In decrypting files, the hybrid approach (RSA–AES) outperforms the RSA-Blowfish method 11.2 times more efficiently when the file size is 32 kB; however, efficiency is increased by 77.1 times when the file size exceeds 4,096 kB. The experimental result shows that as the file size increases the hybrid RSA–AES solution outperforms RSA when the file is only 145 bytes; however, when the file is 6,460 bytes in size, the efficiency is multiplied by 61.3. As file size increases, RSA is less efficient than the hybrid encryption method. This is more preferred to be implemented for different parts of wireless networks like MANET.

Encryption of Card Details Using AES with a 128-bit Key a Secure Approach to Data Protection

Data security is a critical concern in today's digital age, particularly regarding the protection of sensitive information such as cardholder data. This research paper explores the implementation of Advanced Encryption Standard (AES) encryption with a 128-bit key as a means of safeguarding card details. The project demonstrates the encryption and decryption process, ensuring data confidentiality and integrity. Utilizing the pycryptodome library in Python, the AES encryption technique is applied to encrypt card details, offering a secure approach to data protection. The methodology section outlines the AES encryption process, emphasizing key generation, encryption, and decryption. A detailed explanation of the Python implementation highlights the importance of key length and randomness in the encryption process. The results section presents the outcomes of encrypting and decrypting card details using AES encryption, analyzing the efficiency and security of the encryption process. Additionally, potential vulnerabilities and challenges encountered during implementation are discussed, along with their resolutions. In the discussion section, the research findings are interpreted in the context of data security and encryption standards. A comparison between AES encryption and other encryption algorithms is provided, evaluating performance and security aspects. Consideration is given to future research directions in the field of data encryption and security. Overall, this research paper underscores the significance of AES encryption with a 128-bit key for protecting cardholder information. By implementing AES encryption, organizations can enhance data security measures, ensuring the confidentiality and integrity of sensitive data in digital transactions. This abstract provides a concise overview of the research paper, summarizing the objectives, methodology, results, and implications of implementing AES encryption for card data protection. It highlights the importance of data security and encryption techniques in safeguarding sensitive information in digital transactions. Tokenizing cards enhances security, ensures regulatory compliance, boosts customer trust, and streamlines payment processes while reducing liability for organizations. Future developments may involve tokenizing cards even without customer consent. Keywords: Tokenization, Payment systems, Encryption, Fraud prevention

Enhancing Data Protection through Advanced Encryption or Improving Data Security with Advanced Encryption

The protection of information content is becoming a key concern with the recent exponential growth of digital data interchange over computer networks. Numerous security vulnerabilities can readily jeopardize the information sent over a network. An enhanced modification for the Advanced Encryption Standard (AES) algorithm is proposed and implemented using an additional key that generated using a linear feedback shift register (LFSR), which provides an efficient technique to pseudo random number generation and also reduces the number of rounds. Cryptography plays a crucial role in ensuring the security of digital data transmission over these unsafe networks. When compared to the original AES algorithm result, the suggested technique produces the expected results for several data types, including text, images, It is more important than ever to strengthen data protection procedures in an era of rising cyber dangers and growing reliance on digital data. A thorough framework for "Enhancing Data Protection through Advanced Encryption" (EDPAE) is introduced in this study. The project's goal is to protect sensitive data by utilizing state-of-the-art encryption techniques in response to the ever-changing cyber security scenario. In addition, the project places a strong emphasis on how to seamlessly incorporate advanced encryption into current data storage and communication systems in order to minimize interference with user operations and greatly improve overall security posture. In order to guarantee the secure creation, distribution, and storage of encryption keys and to reduce potential risks related to key compromise, key management features are addressed.

Deep-Learning-Based Neural Distinguisher for Format-Preserving Encryption Schemes FF1 and FF3

Distinguishing data that satisfy the differential characteristic from random data is called a distinguisher attack. At CRYPTO’19, Gohr presented the first deep-learning-based distinguisher for round-reduced SPECK. Building upon Gohr’s work, various works have been conducted. Among many other works, we propose the first neural distinguisher using single and multiple differences for format-preserving encryption (FPE) schemes FF1 and FF3. We harnessed the differential characteristics used in FF1 and FF3 classical distinguishers. They used SKINNY as the inner encryption algorithm for FF3. On the other hand, we employ the standard FF1 and FF3 implementations with AES encryption (which may be more robust). This work utilizes the differentials employed in FF1 and FF3 classical distinguishers. In short, when using a single 0x0F (resp. 0x08) differential, we achieve the highest accuracy of 0.85 (resp. 0.98) for FF1 (resp. FF3) in the 10-round (resp. 8-round) number domain. In the lowercase domain, due to an increased number of plaintext and ciphertext combinations, we can distinguish with the highest accuracy of 0.52 (resp. 0.55) for FF1 (resp. FF3) in a maximum of 2 rounds. Furthermore, we present an advanced neural distinguisher designed with multiple differentials for FF1 and FF3. With this sophisticated model, we still demonstrate valid accuracy in guessing the input difference used for encryption.

An Open-Source Face-Aware Capture System

Poor-quality facial images pose challenges in biometric authentication, especially in passport photo acquisition and recognition. This study proposes a novel and open-source solution to address these issues by introducing a real-time facial image quality analysis utilizing computer vision technology on a low-power single-board computer. We present an open-source complete hardware solution that consists of a Jetson processor, a 16 MP autofocus RGB camera, a custom enclosure, and a touch sensor LCD for user interaction. To ensure the integrity and confidentiality of captured facial data, Advanced Encryption Standard (AES) is used for secure image storage. Using the pilot data collection, the system demonstrated its ability to capture high-quality images, achieving 98.98% accuracy in storing images of acceptable quality. This open-source, readily deployable, secure system offers promising potential for diverse real-time applications such as passport verification, security systems, etc.

A lightweight logisticsed chaotic S-box encryption for IoT enabled smart health care applications

<p>The Internet of Things (IoT) acts as the major enabler for realizing more intelligent devices and establishes a new dimension of communication between humans and machines using the Internet. These intelligent devices find their role in numerous domains namely health care, automation, smart homes & other people-assisted applications. Although sensor-driven gadgets have significantly improved people’s daily lives, the majority of IoT systems have been plagued by security backlogs, which results in privacy issues. Recently, Advanced Encryption Standard (AES) provides immense light of research in maintaining security and privacy among IoT health care devices. But encrypted data generated still needs to be improvised to defend against the various IoT attacks. The proposed scheme is implemented in the IoT infrastructure that consists of real-time health care sensors interfaced with the ESP8266. Extensive experimentation has been carried out to evaluate the proposed schemes and S-box tests are conducted and analyzed. Additionally, the efficacy of the suggested methods is evaluated with regard to of time and memory usage in comparison to the other encryption schemes already in use. Experimental findings demonstrate that the suggested L-DAL-SBoX has outperformed the other existing algorithms and finds its strong place in IoT security.</p>

A Compact Hardware Design and Implementation on FPGA Based Hybrid of AES and Keccak SHA3-512 for Enhancing Data Security

Data security means protecting important information from unauthorised persons. In a security system, cryptography is the most secure method. Cryptography has many kinds, but the Advanced Encryption Standard (AES) is the most secure system. If combined with AES and Secure Hash Algorithm-3-512Bits (SHA3-512), it becomes compact, more secure, and more authenticated for data communications. The proposed methodology is a hybrid cryptography technique that combines AES with the SHA3-512 algorithm. This system becomes a strong, secure system and produces a strong cipher text. The proposed method AES/SHA3-512 is Hardware implementation on the Artix-7 FPGA family yields the lowest cost and highest hardware efficiency with a reduction in area usage of LUT 18.49%, Flip Flops 0.83%, and IO 3.8%. The proposed architecture is synthesised and simulated using the Vivado 2017.2 version Tool.

Combination of AES (Advanced Encryption Standard) and SHA256 Algorithms for Data Security in Bill Payment Applications

In the era of information technology development, digital payments and e-payments are becoming a dominant trend, supported by the crucial role of payment gateways such as Midtrans. Midtrans uses APIs to facilitate various online transactions, including debit cards. In this research, two cryptographic algorithms will be combined, namely Advance Encryption Standard (AES) with 256 bits and Secure Hash Algorithm (SHA) with 256 bits. The importance of data security in e-payments is recognized, with the application of cryptographic algorithms to protect sensitive transaction information. Yayasan Antero Prosesi Edukasi (YAPE) as an educational marketing consultant faced the challenge of time-consuming and inefficient manual payments. In an effort towards efficiency and security, YAPE plans to develop an online payment application with Midtrans Payment Gateway and the use of AES-256 and SHA-256 cryptographic algorithms. This step is expected to help the foundation keep up with technological developments, provide ease of payment, and achieve computerized efficiency. The results showed that the use of a combination of AES 256 bit and SHA256 encryption significantly increased security, making hacking attempts ineffective because encrypted data could not be accessed, with quite complicated calculation stages.

Designing And Implementing a Chat System with Enhanced Security Via AES Encryption Methods

As technology has advanced, we have ushered in the age of the Internet, where online communication tools have become the preferred method for information exchange. While this shift offers unprecedented convenience and efficiency, it also introduces a slew of security concerns. Messages traversing the vast expanse of the internet are vulnerable to interception, tampering, and even fabrication by malicious entities. Such actions can disrupt communications and lead to significant repercussions for all involved parties. Given these threats, the imperative for robust encryption becomes clear. Typically, to safeguard the contents of a message, the sender encrypts it using a specific key. In the absence of this key, adversaries find it challenging, if not impossible, to decipher the encrypted message. Upon receipt, the intended recipient, equipped with the necessary key, decrypts the message to access its original content. Beyond encryption, digital signatures are often employed to verify the authenticity of the sender and prevent message forgery. Such cryptographic measures are pivotal in maintaining the sanctity of digital communications. This article embarks on an exploration of prevalent encryption techniques employed by contemporary online communication tools. It delves deeper into the AES (Advanced Encryption Standard) method, spotlighting its mechanics and efficacy. Culminating in a tangible application, the article presents the design of a rudimentary chat system underpinned by AES encryption, showcasing its potential in real-world secure communication scenarios.

BANK OF PASSWORDS: a secure Android password manager implemented based on specific requirements

Passwords serve as a vital means to safeguard our digital accounts. Many individuals resort to conventional methods like writing down passwords on paper or storing them on cloud services, often overlooking security risks, forgetting, and divulging is the most notable, which leads to loss of access to accounts, or potential breaches. In this paper, we propose the development of an Android application named "BANK OF PASSWORD" to address this issue. Our work focuses on creating a lightweight app equipped with essential functionalities desired by users, including password addition, updating, copying, searching, and deletion. To ensure the security of stored passwords, our approach incorporates various protective measures, such as access restriction through a login process and the utilization of SHA256 hashing and AES256 encryption for password encryption, where stored passwords are securely encrypted and stored as ciphertexts within an SQLite database. A fingerprint authentication was implemented as a second login method. Extensive testing of the application demonstrates the successful functioning of all proposed features and requirements on devices running API level 26 or above.

An Energy-Efficient Cluster Head Selection and Secure Data Transmission in WSN using Spider Monkey Optimized Algorithm and Hybrid Cryptographic with Security

To conserve energy in wireless sensor networks, clustering is the well-known strategies. However, choosing a cluster head that is energy efficient is crucial for the best clustering. Because data packets must be transmitted between cluster members and the sink node, improper cluster head selection (CHs) uses more energy than other sensor nodes. As a result, it lowers the network's performance and lifespan. Due to the requirement that this network implement appropriate security measures to guarantee secure communication. This paper provides a novel cluster head selection technique that addresses issues of networks’ lives and energy usages using Spider Monkey Optimised Fuzzy C-Means Algorithm (SMOFCM). The CH is chosen using the Spider Monkey Optimisation method in the proposed SMOFCM approach, which builds on the Fuzzy C-means clustering framework. The hybrid cryptographic technique is appropriate for WSN for safe data transmission because it can address sensor challenges such processing power, storage capability, and energy. The Rivest-Shamir-Adleman (RSA), advanced encryption standards (AES), and the suggested algorithm are all used at various stages. Because asymmetric key cryptography makes key management simpler but symmetric key cryptography offers a high level of security. The AES algorithm has been created for phase 1. Phase 2 employed RSA, and all phases were carried out concurrently. According to the simulation results, it reduces energy use, lengthens the network's lifespan, and offers faster encryption, decryption, and execution times for secure data transmission

End-to-end security enabled intelligent remote IoT monitoring system

Introduction: Internet of things (IoT) compose of million of devices connected together over the internet. IoT plays a vital role now a days and especially in future, the most of the monitoring and data collection. The data should be secure while collection and as well in the process of transferring till the destination whether Service Organization Control (SOC) or to cloud for storage. In this paper, a secure IoT based intelligent monitoring system is proposed.Methods: An intelligent IoT station that interacts via cellular connection to relay data to the cloud is constructed using the Waspmote platform. The algorithm is injected to automatically filter and only keep the new data for transfer to avoid redundancy. The advanced encryption standard (AES) 256-bit method is enabled for onboard data encryption and then the generated cipher text is transmitted. The encrypted data is then stored over the cloud to ensure privacy. Moreover, the mobile application (mApp) is developed to be installed on handheld devices for calling the secure data from the cloud, decrypting it, and displaying it as per user input, whether real-time or historical.Results and Discussion: The encryption algortihm helps in securing the proposed monitoring system from brute force, man in the middle, phishing, spoofing, and denial of service (DoS) attacks. The results of the real testbed experimentation demonstrate the complexity evaluation and reliability of IoT monitoring systems with end-to-end data security in terms of encryption algorithm delay and data rate, respectively.

AES-128 reduced-round permutation by replacing the MixColumns function

Ensuring the protection of digital data is of utmost importance in our current reliance on network operations. However, security measures such as data encryption often result in decreased performance speed. This paper enhanced the 128-bit version of the advanced encryption standard (AES) by substituting the MixColumns function with a permutation-based approach and decreasing the overall number of rounds. The evaluation results indicate a substantial enhancement in the speed of encryption and decryption, with a 76.76% improvement in encryption time and a 55.46% improvement in decryption time. Furthermore, it is important to mention that the modifications implemented in the standard AES did not compromise its security in relation to the strict avalanche criterion. The avalanche effect of the modified AES is 52.92%, surpassing the minimum requirement of 50%. Finally, the modified AES demonstrated a 31.12% increase in throughput for encryption and a 25.50% increase for decryption when compared to the original AES, using the sample dataset.

PENGGABUNGAN KRIPTOGRAFI RIVEST SHAMIR ADLEMAN (RSA) DAN ADVANCED ENCRYPTION STANDARD (AES) PADA APLIKASI PENGIRIM E-MAIL

One of the most commonly used communication tools is e-mail. Messages sent via e-mail can contain confidential information, security measures are needed for confidential messages sent via e-mail. Cryptography is one of the security measures that can be taken. Based on the types of keys, there are two types of cryptography namely symmetric and asymmetric. Symmetric cryptography uses the same key in the encryption and decryption process, while asymmetric cryptography uses different keys. Symmetric keys can be encrypted by asymmetric keys to make the transmission of secret keys more secure. The symmetric and asymmetric cryptography chosen are AES (Advanced Encryption Standard) and enhanced RSA (Rivest Shamir Adleman). RSA cryptography is known for its strong security based on the difficulty of exponential and factorization operations, while AES cryptography is a secure cryptography standard that has a relatively fast computation time. An e-mail application to send secret messages using combined cryptography algorithm constructed using Python programming language.

Smart plant disease net: Adaptive Dense Hybrid Convolution network with attention mechanism for IoT-based plant disease detection by improved optimization approach

ABSTRACT Plant diseases are rising nowadays. Plant diseases lead to high economic losses. Internet of Things (IoT) technology has found its application in various sectors. This led to the introduction of smart farming, in which IoT has been utilized to help identify the exact spot of the diseased affected region on the leaf from the vast farmland in a well-organized and automated manner. Thus, the main focus of this task is the introduction of a novel plant disease detection model that relies on IoT technology. The collected images are given to the Image Transmission phase. Here, the encryption task is performed by employing the Advanced Encryption Standard (AES) and also the decrypted plant images are fed to the pre-processing stage. The Mask Regions with Convolutional Neural Networks (R-CNN) are used to segment the pre-processed images. Then, the segmented images are given to the detection phase in which the Adaptive Dense Hybrid Convolution Network with Attention Mechanism (ADHCN-AM) approach is utilized to perform the detection of plant disease. From the ADHCN-AM, the final detected plant disease outcomes are obtained. Throughout the entire validation, the offered model shows 95% enhancement in terms of MCC showcasing its effectiveness over the existing approaches.

Perancangan Integrasi Sistem Enkripsi dan Steganografi untuk Pengamanan Data Suara Manusia Berbasis Web

Audio steganography on images is a method used to secretly hide audio messages in images. The Least Significant Bit (LSB) method is also combined with Advanced Encryption Standard (AES) to increase the security of confidential messages. Audio messages that you want to keep secret can be encrypted using Advanced Encryption Standard (AES) before being inserted into the image. Advanced Encryption Standard (AES) can be combined with the use of Rivest Shamir Adleman (RSA) on Advanced Encryption Standard (AES) keys. Rivest Shamir Adleman (RSA) is used to increase the security of Advanced Encryption Standard (AES) keys. The Advanced Encryption Standard (AES) key can be encrypted using Rivest Shamir Adleman (RSA) before being inserted into the image using the Least Significant Bit (LSB) Method, so that only recipients who have the Rivest Shamir Adleman (RSA) key are suitable for accessing the audio message. kept secret. The results of this processing can be measured from the PSNR (Peak-Signal-to-Noise Ratio) figure.

A COMPARATIVE REVIEW OF DATA ENCRYPTION METHODS IN THE USA AND EUROPE

Data encryption is a critical aspect of modern information security, and understanding the approaches taken by different regions is vital for a comprehensive analysis. In the United States and Europe, data encryption methods vary in implementation, legal frameworks, and overall priorities. In the United States, encryption methods are primarily governed by a combination of federal laws and industry standards. The National Institute of Standards and Technology (NIST) plays a central role in recommending cryptographic standards, while the Department of Commerce oversees export controls on encryption technology. The focus in the U.S. is on balancing national security needs with individual privacy rights. The tension between law enforcement's desire for access to encrypted data for criminal investigations and the right to privacy has sparked debates and legal battles. On the other hand, Europe has taken a more privacy-centric approach to data protection. The General Data Protection Regulation (GDPR) is a cornerstone in the European Union's efforts to safeguard individual privacy rights. GDPR mandates the use of encryption to protect personal data, and failure to implement adequate measures can result in hefty fines. European countries also emphasize the importance of end-to-end encryption in communication services to ensure confidentiality. Both regions prioritize encryption, but their approaches reflect different values and legal philosophies. The U.S. tends to navigate a delicate balance between national security and individual rights, while Europe places a stronger emphasis on the protection of personal data as a fundamental right. In terms of technological implementation, the encryption algorithms adopted in both regions are often aligned with global standards. Advanced Encryption Standard (AES) is widely accepted and implemented in various sectors. However, the choice of key management and the level of regulatory oversight differ, contributing to the nuanced landscape of data protection. In conclusion, a comparative review of data encryption methods in the USA and Europe reveals the complex interplay between security, privacy, and legal frameworks. Understanding these differences is crucial for multinational organizations and individuals navigating the intricate landscape of global data protection.
 Keywords: Data, Encryption, USA, Europe, Review.

An In-Depth Analysis on Efficiency and Vulnerabilities on a Cloud-Based Searchable Symmetric Encryption Solution

Searchable Symmetric Encryption (SSE) has come to be as an integral cryptographic approach in a world where digital privacy is essential. The capacity to search through encrypted data whilst maintaining its integrity meets the most important demand for security and confidentiality in a society that is increasingly dependent on cloud-based services and data storage. SSE offers efficient processing of queries over encrypted datasets, allowing entities to comply with data privacy rules while preserving database usability. Our research goes into this need, concentrating on the development and thorough testing of an SSE system based on Curtmola’s architecture and employing Advanced Encryption Standard (AES) in Cypher Block Chaining (CBC) mode. A primary goal of the research is to conduct a thorough evaluation of the security and performance of the system. In order to assess search performance, a variety of database settings were extensively tested, and the system's security was tested by simulating intricate threat scenarios such as count attacks and leakage abuse. The efficiency of operation and cryptographic robustness of the SSE system are critically examined by these reviews.