Decryption Technique Research Articles

Data protection enhancement in smart grid communication: An efficient multi-layer encrypting approach based on chaotic techniques and steganography

In this study, a multi-layer encryption system is proposed through which sensitive and important data in smart grids can be secured from unauthorized persons as well as cyber threats. The suggested system is analyzed using fundamental performance assessment metrics say as average processing times across ten runs, peak signal-to-noise ratio (PSNR), and root mean square error (RMSE). The encryption process involves hiding the data encrypted by a digital dictionary and the advanced encryption standard (AES) algorithm in an image. In this way, AES encryption suggests rapid processing with a short average time per each block; similarly, the decryption technique, which includes the dictionary and AES decryption also renders the results in a justified computational time nominating it as a practical approach. It is worth noting that the small key era and dictionary construction instances provoke innovations in the general efficiency of the encryption mechanism. The conducted study, based on recorded values for PSNR, RMSE, UACI, and NPCR, demonstrates that the proposed multi-layer encryption system, which incorporates dictionary encryption and AES, is a robust and a fast method to shield important information and attaining a balance between protection and computational time.

Applying Polynomials for Developing Post Quantum Cryptography Algorithms to Secure Online Information - An Initial Hypothesis

In the contemporary era, a vast array of applications employs encryption techniques to ensure the safeguarding and privacy of data. Quantum computers are expected to threaten conventional security methods and two existing approaches, namely Shor's and Grover's algorithms, are expediting the process of breaking both asymmetric and symmetric key classical algorithms. The objective of this article is to explore the possibilities of creating a new polynomial based encryption algorithm that can be both classically and quantum safe. Polynomial reconstruction problem is considered as a nondeterministic polynomial time hard problem (NP hard), and the degree of the polynomials provide the usage of scalable key lengths. The primary contribution of this study is the proposal of a novel encryption and decryption technique that employs polynomials and various polynomial interpolations, specifically designed for optimal performance in the context of a block cipher. This study also explores various root convergence techniques and provides algorithmic insights, working principles and the implementation of these techniques, which can potentially be utilized in the design of a proposed block-cipher symmetric cryptography algorithm. From the implementation, comparison and analysis of Durand Kernal, Laguerre and Aberth Ehrlich methods, it is evident that Laguerre method is performing better than other root finding approaches. The present study introduces a novel approach in the field of polynomial-based cryptography algorithms within the floating-point domain, thereby offering a promising solution for enhancing the security of future communication systems.

Study of Chaotic-based Audio Encryption Algorithms: A Review

Nowadays, multimedia communication has become very widespread and this requires it to be protected from attackers and transmitted securely for reliability. Encryption and decryption techniques are useful in providing effective security for speech signals to ensure that these signals are transmitted with secure data and prevent third parties or the public from reading private messages. Due to the rapid improvement in digital communications over the recent period up to the present, the security of voice data transmitted over various networks has been classified as a favored field of study in earlier years. The contributions to audio encryption are discussed in this review. This Comprehensive review mainly focuses on presenting several kinds of methods for audio encryption and decryption the analysis of these methods with their advantages and disadvantages have been investigated thoroughly. It will be classified into encryption based on traditional methods and encryption based on advanced chaotic systems. They are divided into two types, continuous-time system, and discrete-time system, and also classified based on the synchronization method and the implementation method. In the fields of information and communications security, system designers face many challenges in both cost, performance, and architecture design, Field Programmable gate arrays (FPGAs) provide an excellent balance between computational power and processing flexibility. In addition, encryption methods will be classified based on Chaos-based Pseudo Random Bit Generator, Fractional-order systems, and hybrid chaotic generator systems, which is an advantageous point for this review compared with previous ones. Audio algorithms are presented, discussed, and compared, highlighting important advantages and disadvantages. Audio signals have a large volume and a strong correlation between data samples. Therefore, if traditional cryptography systems are used to encrypt such huge data, they gain significant overhead. Standard symmetric encryption systems also have a small key-space, which makes them vulnerable to attacks. On the other hand, encryption by asymmetric algorithms is not ideal due to low processing speed and complexity. Therefore, great importance has been given to using chaotic theory to encode audio files. Therefore, when proposing an appropriate encryption method to ensure a high degree of security, the key space, which is the critical part of every encryption system, and the key sensitivity must be taken into account. The key sensitivity is related to the initial values and control variables of the chaotic system chosen as the audio encryption algorithm. In addition, the proposed algorithm should eliminate the problems of periodic windows, such as limited chaotic range and non-uniform distribution, and the quality of the recovered audio signal remains good, which confirms the convenience, reliability, and high security.

Detection of black hole attacks in vehicle-to-vehicle communications using ad hoc networks and on demand protocols

PurposeThe potential of vehicle ad hoc networks (VANETs) to improve driver and passenger safety and security has made them a hot topic in the field of intelligent transportation systems (ITSs). VANETs have different characteristics and system architectures from mobile ad hoc networks (MANETs), with a primary focus on vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. But protecting VANETs from malicious assaults is crucial because they can undermine network security and safety.Design/methodology/approachThe black hole attack is a well-known danger to VANETs. It occurs when a hostile node introduces phony routing tables into the network, potentially damaging it and interfering with communication. A safe ad hoc on-demand distance vector (AODV) routing protocol has been created in response to this issue. By adding cryptographic features for source and target node verification to the route request (RREQ) and route reply (RREP) packets, this protocol improves upon the original AODV routing system.FindingsThrough the use of cryptographic-based encryption and decryption techniques, the suggested method fortifies the VANET connection. In addition, other network metrics are taken into account to assess the effectiveness of the secure AODV routing protocol under black hole attacks, including packet loss, end-to-end latency, packet delivery ratio (PDR) and routing request overhead. Results from simulations using an NS-2.33 simulator show how well the suggested fix works to enhance system performance and lessen the effects of black hole assaults on VANETs.Originality/valueAll things considered, the safe AODV routing protocol provides a strong method for improving security and dependability in VANET systems, protecting against malevolent attacks and guaranteeing smooth communication between cars and infrastructure.

Session password Blum–Goldwasser cryptography based user three layer authentication for secured financial transaction

Cloud computing is an eminent and evolving technology that offers various services such as data transaction, authentication, distribution and so on. In this article, session password Blum–Goldwasser Cryptography based user authentication (SPBGCUA) method is proposed to enhance the communication security of cloud services with minimum overhead. Moreover, SPBGCUA is a cryptographic technique that provides secured authentication mechanism for financial transaction with higher confidentiality rate. In order to fill the security lack of recent authentication techniques, this method develops dynamic security structure with key generation, encryption, authentication and decryption techniques. Finally, analysis is performed using SPBGCUA Method on factors such as authentication accuracy, data confidentiality rate and data integrity for number of financial data and cloud users.

Beyond pixels and ciphers: Navigating the advancements and challenges in visual cryptography

<p>Visual cryptography (VC) has emerged as a pivotal solution for secure information transmission, leveraging its unique capability to encrypt images in a user-friendly and accessible manner. This survey paper provides an in-depth analysis of various VC methods, highlighting their distinct encryption and decryption techniques, applicability, and security levels. The study delves into the technical specifications of each VC type, offering insights into secret image formats, the number of secret images used, types of shares, pixel expansion, and complexity. Significant attention is given to the practical applications of VC, ranging from secure document verification and anti-counterfeiting measures to digital watermarking and online data protection. The paper also identifies key challenges in the field, such as image quality retention post-decryption, computational efficiency, and scalability. Future prospects of VC are explored, particularly its potential integration with emerging technologies like AI and blockchain. This survey aims to provide a comprehensive understanding of VC’s current state, its diverse applications, and the future possibilities, making it a valuable resource for researchers and practitioners in the field of data security and cryptography.</p>

Efficient First-price Sealed E-auction Protocol Under Secure Multi-party Computational Malicious Model

<p>To solve the problems of existing e-auction protocols such as semi-trustworthiness of outsourced third parties, collusive attacks among participants, unsatisfactory decentralized structure, and inability of public verification, we propose an efficient first-price sealed e-auction protocol under a secure multi-party computational malicious model. First, the protocol combines the additive homomorphism of the ElGamal cryptographic algorithm to achieve a decentralized structure and eliminate the problem of semi-trustworthiness of outsourced third parties; it uses (n, n) threshold encryption and decryption techniques to solve the problem of collusion attacks among participants and uses Hash-based Message Authentication Code (HMAC) technology to achieve public verifiability of auction results. Additionally, the protocol proposes a method to quickly find the maximum value of the data encoding, which can avoid multiple processing of confidential data and thus effectively reduce the number of communication rounds. The combination of zero-knowledge proof and ideal/realistic simulation paradigm proves that the protocol in this paper is resistant to up to n-1 party collusion attacks and satisfies the security of the secure multi-party computational malicious model. Finally, after theoretical analysis and simulation experiments, the protocol not only satisfies higher security performance but also has greater overall operational efficiency.</p> <p> </p>

Data Rakshak

Abstract: Information security is essential as data exchange moves towards an electronic system. In today's visual communication system, picture, text, and video protection are crucial. Unauthorized uses of private videos, text, and image data must be prevented. It can be difficult to find and identify unauthorized users. Several researchers have proposed several methods for protecting the transfer of texts. We created an encryption and decryption technique with security in mind. We have primarily concentrated on data security, which may be utilized by security agencies, the IT sector, SMBs, the healthcare industry, governmental organizations, the legal industry, financial and banking institutions, etc

A New Application for Encryption and Decryption Using the TAS Algorithm

Abstract: Encryption is based on precise algorithms and specific mathematical operations it is indispensable for the security and safety of information and files that are of great importance in our lives. This paper discusses a new encryption and decryption technique, we used very powerful and complex encryption and decryption algorithms. Our study relies on encrypting the blocks according to the code writing style by making the encryption process for each individual block individually and does not depend on all the blocks that precede it in the message. We focus on sending several messages with different keys. These algorithms will have a high ability to maintain confidentiality and increase the security of information.

A secure multi‐authority attribute based encryption approach for robust smart grids

AbstractThis paper presents EMBASS, an Enhanced Multi‐Authority Attribute‐Based Encryption System for Smart Grids. EMBASS supports outsourced decryption to devices with limited resources. It also uses a proxy to add fake values to the access policy in order to protect against malicious users. Additionally, a proxy user assistant is utilized to create an intermediate key for each fog node in the decryption process, and a chain decryption technique is used to further delegate the decryption process. The security properties and performance of the proposed system are analyzed, discussed and compared to state of the art approaches. EMBASS has been discussed for usage with smart grids, and experimentation shows that it yields promising results compared to state‐of‐the‐art approaches.

Ellipse‐Like Orbital Angular Momentum Multiplexed Holography and Efficient Decryption Utilizing a Composite Ellipse‐Like Lens

AbstractThe utilization of orbital angular momentum (OAM) as an independent degree of freedom for information encryption has gained significant attention. Nevertheless, the multiplexing capacity of OAM is still constrained, and there is a lack of research on accelerated decryption techniques in OAM multiplexed holography. In this study, ellipse‐like orbital angular momentum (EL‐OAM) multiplexed holography is proposed and implemented. The ellipse‐like (EL) beam incorporates three modulatable parameters: topological charge, power index, and radial shift. To achieve efficient decryption, a composite ellipse‐like lens (CELL) is introduced that generates two EL beams carrying different OAMs at distinct axial positions, resulting in two reconstruction holographic images with approximately equal intensity. The mode selectivity of EL‐OAM based on the aforementioned parameters is investigated. Experimental verification demonstrates the feasibility of EL‐OAM multiplexed holography and its potential for fast decryption in various dimensions. This breakthrough opens up new possibilities for practical information encryption and decryption systems.

Stochastic Gradient Deep Multilayer Neural Network based Linear Congruential Generative Cryptosystem for Secured Data Communication in Cloud

Cloud computing is a kind of distributed computing that use a vast network of interconnected resources accessible over the internet. Security is a crucial concern in cloud computing due to the fact that users save their data on the cloud for convenient access from any location and at any time. Consequently, many users are worried about safeguarding their sensitive data in an unsafe location. Therefore, cloud computing architecture requires an innovative cryptographic method that ensures the secrecy, authenticity, integrity, and non-repudiation of data transfer in the cloud. A new technique called SEMcrypt, which stands for Stochastic Gradient DEep Multilayer Neural Network based Linear Congruential Generative Cryptography, has been developed to enhance secure data transmission. SEMcrypt ensures higher data confidentiality and reduces the time required for communication between the cloud user (i.e., patient) and the server. The SEMcrypt approach has two distinct processes: categorization and secure data transport. Initially, the data is gathered from the patients and is used as input for the stochastic gradient regularised deep multilayer neural network. The deep neural network consists of one input layer, two hidden layers, and one output layer. At first, the information is gathered from the patients and sent to the input layer. Next, the patient data that has been gathered is examined in hidden layer 1 using the generalised Tikhonov regularisation function. The patient data that has been analysed is sent to hidden layer 2. The hyperbolic tangent activation function is used at that layer to classify the patient data. Subsequently, the categorised data undergoes encryption via the use of Linear Congruential Generative Goldwasser-Micali encryption, ensuring safe transfer of the data. Subsequently, the encrypted data is sent to the cloud server. The patient data is encrypted on the server side using the Linear Congruential Generative Goldwasser-Micali decryption technique to prevent unauthorised access or assaults. Consequently, the authorised recipient receives the unaltered information, which is then kept in the database for further analysis. Secured data transmission is achieved by ensuring better levels of data confidentiality and reducing the time required for the process. The experimental assessment focuses on criteria such as the time it takes to generate keys, the level of data confidentiality and integrity, the computing time, and the accuracy of categorization. The empirical findings demonstrate that our suggested SEMcrypt approach delivers efficient performance outcomes by attaining superior levels of data confidentiality and integrity within a minimal timeframe.

RSA and AES Based Hybrid Encryption Technique for Enhancing Data Security in Cloud Computing

Cloud computing security has become the most crucial problem in its growth. Encryption has been developed as a solution and plays a vital role in the security of information systems in cloud computing. Many methods are required to secure the shared data. The advanced internet, networking firms, health information, and cloud applications have significantly increased our data every minute. The current work focuses on cryptography to protect sensitive data exchanged between personal users, companies, organizations, or in the cloud applications and others during data transfer across the network. Firstly, data sent from the sender to the network receiver must be encrypted using the cryptographic algorithm. Secondly, the recipient shows the original data using the decryption technique. In this paper, we have proposed a model to use a hybrid encryption and decryption process based on AES-128 and the RSA algorithm. Furthermore, we used the HMAC algorithm to ensure the integrity and authenticity of data. Our experiment work has been done to explain the time required and throughput for encryption and decryption of three encrypting algorithms, AES, RSA, and hybrid algorithms, based on different data sizes, and their efficiency is compared. The results of the experiments show that the hybrid algorithm is better in terms of security.

Comparative Analysis of Multi-Level Algorithm with Different Encryption and Decryption Security Algorithms

This research explores network data encryption and decryption strategies used in communication networks. The majority of network communication systems revolve around information sharing on mobile phones, networked PCs, and other internet-connected electronic devices. As information travels through several networks and is subject to numerous types of assaults, unsecure data can be read, altered, or faked by anybody with access to it. To defend against this form of assault, data encryption / decryption techniques are utilized. To illustrate the effects and evaluate the efficacy of each decoding and encryption method used in network technologies, Visual Basic simulation studies that encrypted and decrypt data were created, developed, and tested. Further study was for comparative analysis of Multi-Level Algorithm with different Security Algorithms for encrypting data approach.

FPGA realization of four chaotic interference cases in a terrestrial trajectory model and application in image transmission

This article presents a technique to integrate two dynamical models, a four-wing spherical chaotic oscillator and the elliptical path described by the planet Earth during its translation movement around the sun. Four application cases are derived from the system by varying the dynamics of the chaotic oscillator and these can be applied in information encryption to transmit RGB and grayscale images modulated by CSK. Consequently, the three main contributions of this work are (1) the emulation of the trajectories of the planet Earth with chaotic interference, (2) the CSK modulation and image encryption in a master-slave synchronization topology, and (3) the CSK demodulation for decryption without loss of information with respect to the original information. The three contributions are based on VHDL code implementation. The results of the synchronization, encryption and decryption technique were verified by means of time series and the encrypted images showed a correlation less than − 0.000142 and − 0.0003439 for RGB and grayscale format, respectively, while the retrieved image shows a complete correlation with the image original. In this work, the co-simulations were performed between MATLAB/Simulink and Vivado, using the VHDL language on two FPGA boards from different manufacturers, namely, Xilinx Artix-7 AC701 and Intel Cyclone IV.

Efficiently Encryption Decryption schema for Secure File Storage System in Cloud Computing

Cloud computing finds applications in different industries, providing various services and data storage capabilities. While data stored in the cloud can be retrieved based on user requests, data security remains a primary concern. To address these security concerns, a proposed system employs the combined strength of the Triple Data Encryption Standard (AES) and Blowfish algorithms. The lack of robust and efficient secure file storage systems in cloud computing poses significant risks to data confidentiality and integrity.Existing solutions often lack strong encryption mechanisms and reliable server-side encryption and decryption capabilities. This research aims to develop a secure file storage system that leverages server encryption and decryption techniques to ensure data confidentiality, integrity, and access control in cloud environments. The objective is to design a system that effectively protects sensitive files during storage, transmission, and processing, while maintaining efficient data access and retrieval for authorized users. Key Words: Server-Side Encryption, Secure Key Storage Decryption, Encryption, Secure File Storage, Blowfish

Data Security of Mobile Cloud Computing on Cloud Server

Mobile cloud computing refers to the technology that allows services, such as software, virtual hardware, and bandwidth, to be delivered over the Internet. This technology primarily benefits mobile devices, particularly smartphones. The popularity of mobile cloud computing is rapidly increasing among consumers, and major companies like Apple, Google, Facebook, and Amazon have a large user base in this field. With the help of cloud storage services, users can conveniently access their data anytime, anywhere, and from any device, including mobile devices. While this provides flexibility and scalability in data management, it also introduces new security risks that need to be addressed. However, these security concerns can be mitigated by implementing appropriate data handling practices. Cloud server providers can enhance data security by employing encryption and decryption techniques when storing data in the cloud. In this study, we propose various encryption and decryption methods to safeguard data in the cloud, ensuring that confidential information remains inaccessible to unauthorized individuals or machines due to its encrypted form.

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.

A Novel Image Encryption Algorithm Using DNA Cryptography

Many different technologies are used to encode and decode photos. However, the DNA cryptography method is the most significant of all of these. The study of DNA computing has given rise to a brand-new instinctive cryptographic field called DNA cryptography. Data transfers in today's environment require the highest level of security because they can be insecure. To safeguard the data from unauthorized recipients, our picture encryption technology either modifies the original image's pixels or inserts information inside them using the image as a cover. The image's pixels are transformed into DNA molecules of the form A C G T before being shared with recipients, who may then use decryption techniques to access the data.

File Storage System Using Hybrid Cryptography

Data stored in the cloud is increasingly gaining popularity for all users including personal, institutions and business purposes. The data is usually highly protected, encrypted and replicated depending on the security and scalability needs. Despite the advances in technology, the practical usefulness and longevity of cloud storage is limited in today’s systems. This project provides a solution to the problem of securely storing the client’s data by maintaining the confidentiality and integrity of the data within the cloud. This project addresses the problem of ensuring data confidentiality against cloud and against accesses beyond authorized rights. To resolve these issues, we designed a data encryption model that is in charge of storing data in an encrypted format in the cloud. To improve the efficiency of the designed architecture, the service in form of the model designed allows the users to choose the level of security of the data and according to this level different encryption algorithms are used. Data transmitted through internet is getting larger every day. Therefore an algorithm is required by which our data can be transferred speedily and securely. The main aim of this particular research is to protect the transmitted data with the help of encryption and decryption techniques.