Encryption Methodologies Research Articles

Media image transmission and privacy protection for internet of things security

Internet of Things (IoT) is becoming more popular with the increase in advancements of technology and is widely used in various sectors. The data are collected from the real environment and then transmitted over the networks. Due to their restricted resources, processing capacity, and memory, IoT gadgets are susceptible to certain security risks. Several encryption methodologies were established to provide safe communication between IoT devices with minimal computing cost and bandwidth consumption, due to the rise in media date. This research proposes a revolutionary compact pixel crypto (CPC) technique that can accommodate the modest transmission speeds of IoT gadgets. The suggested techniques reduces the computational burden and data quantity by encrypting the image data using pixel driven selective encryption and bloke scanning compression. The suggested method’s effectiveness is examined using the network simulator (NS-2) platform. According to the findings of the experiments, the suggested method outperforms the previous approaches in terms of both packet rate and energy usage. The proposed approach shortens the time needed for node side encryption and decryption operations with improving the system’s energy effectiveness and connectivity performance.

Fast Color Image Encryption Algorithm Based on DNA Coding and Multi-Chaotic Systems

At present, there is a growing emphasis on safeguarding image data, yet conventional encryption methods are full of numerous limitations. In order to tackle the limitations of conventional color image encryption methodologies, such as inefficiency and insufficient security, this paper designs an expedited encryption method for color images that uses DNA coding in conjunction with multiple chaotic systems. The encryption algorithm proposed in this paper is based on three-dimensional permutation, global scrambling, one-dimensional diffusion and DNA coding. First of all, the encryption algorithm uses three-dimensional permutation algorithms to scramble the image, which disrupts the high correlation among the image pixels. Second, the RSA algorithm and the SHA-256 hashing algorithm are utilized to derive the starting value necessary for the chaotic system to produce the key. Third, the image is encrypted by using global scrambling and one-dimensional diffusion. Finally, DNA coding rules are used to perform DNA computing. The experimental results indicate that the encryption scheme exhibits a relatively weak inter-pixel correlation, uniform histogram distribution, and an information entropy value approaching eight. This shows that the proposed algorithm is able to protect the image safely and efficiently.

The Privacy-Centric Data Pipeline : Strategies for Implementing Robust Security Measures in Data Engineering

This article presents a comprehensive framework for addressing data privacy and security challenges in modern data engineering environments. As organizations grapple with ever-increasing volumes of sensitive data and an evolving regulatory landscape, data engineers face complex challenges in safeguarding information throughout its lifecycle. We explore key components of a robust data protection strategy, including regulatory compliance, technical safeguards, and organizational practices. Our analysis covers critical areas such as encryption methodologies, access control mechanisms, data masking techniques, and lifecycle management policies. We also examine the role of data governance frameworks and the importance of continuous employee training in maintaining a secure data ecosystem. By synthesizing current best practices and emerging trends, this article provides data engineers and organizations with actionable insights for implementing effective privacy and security measures. Our findings underscore the need for a holistic approach that integrates technical solutions with strong governance practices to ensure data integrity, confidentiality, and compliance in an increasingly data-driven world.

A Super Encryption Approach for Enhancing Digital Security using Column Transposition - Hill Cipher for 3D Image Protection

Image encryption is an indispensable technique in the realm of information security, serving as a pivotal mechanism to safeguard visual data against unauthorized access and potential breaches. This study scrutinizes the effectiveness of merging columnar transposition with the Hill Cipher methodologies, unveiling specific metrics from a curated set of sample images. Notably, employing column transposition with the key "JAYA" and the Hill Cipher with the key "UDINUSSMG," the encrypted images underwent rigorous evaluation. 'Lena.png' demonstrated an MSE of 513.32 with a PSNR of 7.89 dB, while 'Peppers.png' and 'Baboon.png' recorded MSE values of 466.67 and 423.92, respectively, with corresponding PSNR figures of 7.12 dB and 7.31 dB. Across all samples, a consistent BER of 50.00% indicated uniform error propagation, while entropy values settled uniformly at 7.9999, highlighting consistent data complexity. While the findings underscore a consistent error rate and complexity, there's a compelling need for further refinement to enhance image quality and security. Moreover, the study proposes future research avenues exploring a three-layer super encryption paradigm, amalgamating columnar transposition, Hill Cipher, and other robust algorithms. This approach aims to fortify encryption methodologies against evolving threats and challenges in data protection, offering heightened resilience and efficacy in safeguarding sensitive information.

Media Image Transmission and Privacy Protection for Internet of Things Security

Due to their restricted resources, processing capacity, and memory, Internet of Things (IoT) gadgets are susceptible to certain security risks. Encryption methodologies were established to provide safe communication between IoT devices with minimal computing cost and bandwidth consumption, due to the rise in media date. This research proposes a revolutionary compact pixel crypto (CPC) technique that can accommodate the modest transmission speeds of IoT gadgets. The suggested techniques reduces the computational burden and data quantity by encrypting the image data using pixel driven selective encryption and bloke scanning compression. The suggested method’s effectiveness is examined using the network simulator (NS-2) platform. According to the findings of the experiments, the suggested method outperforms the previous approaches in terms of both packet rate and energy usage. The proposed approach shortens the time needed for node side encryption and decryption operations with improving the system’s energy effectiveness and connectivity performance.

Visual Cryptography Based Authentication with AES for the Data

Abstract: In the rapidly evolving digital era, ensuring the security and integrity of data has become a critical priority, particularly with the widespread proliferation of sensitive information across diverse digital platforms. While traditional encryption techniques have demonstrated efficacy, they often encounter challenges such as data format alterations and potential disruptions to existing systems. To surmount these hurdles, this paper proposes an innovative encryption paradigm that amalgamates Advanced Encryption Standard (AES), eXclusive OR (XOR) operation, and a tailored translation methodology meticulously crafted to uphold data format fidelity. This novel approach not only streamlines database modifications but also fortifies security measures. Through a rigorous comparative analysis with extant encryption methodologies, the efficacy and security advantages of the proposed framework are underscored. By seamlessly integrating cryptographic principles and AES, the envisioned solution ensures data confidentiality while preserving database performance and structure integrity, thus furnishing a robust framework for safeguarding sensitive information in today's dynamic digital milieu.

Проблемы управления данными и решения в облачных средах.

The challenges of managing dynamic data that arise in cloud environments are discussed and new approaches to solving these problems are considered. Literature research was conducted, including case studies and opinions from industry experts. The study findings identified significant barriers to data management, including issues related to data security, data privacy compliance, data transfer challenges, and the risk of vendor lock-in. Various approaches have been proposed to solve problems - encryption methodologies, compliance systems, data transfer methods and multi-cloud environments. Implementing effective data management practices is paramount to harnessing the power of cloud computing while also maintaining data security and compliance measures.

An innovative image encryption algorithm enhanced with the Pan-Tompkins Algorithm for optimal security

This study introduces a cutting-edge image encryption algorithm aimed at elevating security standards. The Pan-Tompkins Algorithm (PTA) for key generation is proposed for the first time in this study. Additionally, employing steganography through the Least Significant Bit (LSB) method for embedding keys within the encrypted image enhances secure key distribution, thereby fortifying the encryption process. On the other hand, the integration of advanced algorithms, such as Zigzag scanning, the Affine Image Encryption Algorithm (AA), and the Vigenere Image Encryption Algorithm (VA), constitutes the fundamental innovation of the proposed image encryption algorithm. The proposed algorithm is named PanAAVA:Affine Algorithm and Vigenere Algorithm Encryption with PTA-Based Key Generation. The PanAAVA algorithm ensures unparalleled security by encrypting the positions and values of pixels using AA and VA. Notably, using PTA for key generation marks a distinctive and new key generation method feature of the algorithm. To assess the effectiveness of the PanAAVA, a comprehensive comparative analysis is conducted against well-established encryption methodologies, including Lena, Baboon, Airplane, and Pepper.The PanAAVA demonstrates exceptional proficiency in histogram analysis. The PanAAVA demonstrates a Unified Average Changing Intensity (UACI) of 33.4044%. Additionally, the Number of Pixels Change Rate (NPCR) is measured at 99.7442%, showcasing the algorithm’s effectiveness in inducing significant pixel changes. The proposed algorithm’s Mean Square Error (MSE) is calculated at 3.20679E5%. The proposed algorithm’s Peak Signal to Noise Ratio (PSNR) is recorded at 9.512475. The Key Space Size of the proposed algorithm is measured at 2209. Regarding correlation analysis, the PanAAVA achieves a high correlation score of 7.9996. The proposed algorithm successfully passes the National Institute of Standards and Technology (NIST) analysis, demonstrating a remarkably strong correlation close to 0 and a Structural Similarity Index Measure (SSIM) of 0.9977. Furthermore, regarding quantum communication, the proposed algorithm maintains stable key rates of 47.5 ± 0.8 kHz during the day and 50.9 ± 0.7 kHz at night. Additionally, PanAAVA achieves low Quantum Bit Error Rate (QBER) values of 4.77 ± 0.02, ensuring reliable and secure communication. The PanAAVA also demonstrates robust asymmetries at 49.81 ± 0.02 and 50.14 ± 0.03 for a crystal length of 20 mm. highlighting PanAAVA’s adaptability and effectiveness in different scenarios. PanAAVA outperforms other encryption algorithms concerning performance measurements and comparisons. In conclusion, the PanAAVA emerges as a beacon of superior security capabilities and innovation in image encryption, showcasing the potential to redefine standards in the field.

Implementation and evaluation of a decentralized medical data exchange system based on the IOTA Tangle and approximate algorithms for optimal data placement


 
 
 
 
 
 
 
 © Voronin V., Rybalchenko A., Shmatko O., Kolomiitsev O., Tretiak V., Kliuchka Ya., 2023
 
 
 
 
 
 
 
 
 Facilitating the transfer of patient medical information across healthcare providers is crucial for ensuring high-quality care. However, this process encounters obstacles pertaining to privacy, security, and centralised control. This article outlines the creation of a decentralised system for exchanging medical data. The system utilises Distributed Ledger Technology, specifically the IOTA Tangle (open protocol (and network) for data and value transfer). This document outlines the structure and fundamental elements of a system designed for the secure and unalterable storage and transfer of medical records. The system employs masking and encryption methodologies to protect patient confidentiality while enabling healthcare practitioners to access complete information with patient authorization. The IOTA Tangle facilitates transactions without any fees and ensures the verification of data integrity through its Directed Acyclic Graph (DAG) topology. Simulation trials validate the system’s capability to securely communicate medical data on a large scale, while incurring lower resource costs than typical blockchain systems. The system demonstrates the feasibility of a decentralised and self-governing method for efficient and confidential sharing of medical data, utilising Distributed Ledger Technology (DLT). The secure data sharing platform facilitates the implementation of novel care and research frameworks, all the while upholding patient confidentiality and adhering to healthcare ethical standards. Also, in the development of billing Online Transaction Processing (OLTP) systems, which are designed for input, structured storage and processing of information in real time, the use of cloud technology is proposed. The problems that arise and their relevance to the solution of an integer linear programming problem with Boolean variables are shown. Approximate algorithms for optimal data placement and mathematical models for optimizing the structure of a distributed database of a cloud system are proposed, taking into account the limitations on the amount of node memory, the available costs of renting cloud resources, and the number of replicas of fragments of the distributed database.

Decentralized federated learning based on blockchain: concepts, framework, and challenges

Decentralized federated learning integrates advanced technologies, including distributed computing and secure encryption methodologies, to facilitate a robust and efficient mechanism for safeguarding data privacy and security during collaborative model training endeavors. The incorporation of blockchain technology into Federated Learning provides a transformative framework characterized by its inherent decentralization and data immutability, making it a focal point of contemporary research inquiry. The literature on the integration of blockchain technology with federated learning frameworks is presently deficient in comprehensive summary works. Such summaries are essential for advancing understanding of the implementation challenges and for guiding future research efforts in this domain. Therefore, in this work, we first summarize a typical decentralized federated learning framework based on blockchain and describe its operational workflow and its applications in the fields of the Internet of Things, the Internet of Vehicles, etc. A systematic summary of the challenges confronting this framework and an analysis of the solutions proposed to address these challenges are provided. Finally, this work provides insight into the possible future research directions.

Advancements in Intelligent Encryption Systems and its Applications

The digital era has underscored the necessity for resilient and fortified communication protocols. While traditional encryption methodologies remain indispensable, they confront escalating hurdles posed by evolving cyber threats and burgeoning data intricacies. This special issue endeavours to probe into the strides made in intelligent encryption systems and their capacity to redefine data security amidst these challenges.

SecuTwin for All: Enhancing Disability-focused Healthcare Through Secure Digital Twin Technology and Connected Health Monitoring

In the evolving domain of disability-focused healthcare, the integration of secure digital twin technology and connected health systems emerges as a pivotal innovation. The “SecuTwin for All” framework represents a novel approach designed to transcend traditional healthcare monitoring barriers, ensuring comprehensive, real-time, and personalized health data management for individuals with disabilities. This enhanced framework is predicated on the seamless amalgamation of wearable computing devices, mobile health (mHealth) applications, and digital twin technology. At its core, SecuTwin for All incorporates dynamic digital representations of patients to facilitate tailored health insights, thereby promoting an inclusive health monitoring ecosystem that is accessible, secure, and efficient. Central to the SecuTwin for All framework is its commitment to data integrity and privacy. Employing state-of-the-art encryption methodologies alongside stringent data privacy protocols, the framework guarantees the safeguarding of sensitive health information. The design ethos of the wearable devices underscores an intuitive user experience, characterized by user-friendly interfaces and seamless integration with mobile applications. These devices are instrumental in capturing and transmitting vital health data in real time, thus enabling continuous monitoring and immediate intervention when necessary. The mHealth application, a critical conduit within the framework, supports robust data processing and incorporates advanced user authentication mechanisms. This ensures both enhanced usability and security, addressing key concerns in digital health platforms. The effectiveness of the SecuTwin for All framework was rigorously evaluated within a simulated healthcare environment tailored to replicate complex real-world scenarios. This simulation was meticulously designed to assess the framework’s proficiency in managing diverse health data types and user interactions, specifically focusing on the unique needs of individuals with disabilities. Simulation results were compelling, demonstrating the framework’s exceptional performance across multiple metrics: a 98% success rate in user experience satisfaction, a 97% compliance rate with data privacy standards, and a 99% effectiveness in thwarting cybersecurity threats.

Entropic uncertainty in quantum-state cryptography : A mathematical framework for quantum-resilient encryption

In the escalating race between cryptographic security and quantum computing capabilities, the need for robust encryption methodologies that can withstand the prowess of quantum algorithms is more pressing than ever. This paper introduces a novel cryptographic framework, grounded in the principles of quantum mechanics and the entropic uncertainty principle, to forge a path towards quantum-resilient encryption. At the heart of this approach lies the integration of the entropic uncertainty inherent in quantum states, a fundamental aspect often overlooked in traditional cryptographic strategies. By harnessing this intrinsic uncertainty of quantum mechanics, we propose a mathematical framework that not only challenges the conventional paradigms of encryption but also sets a new benchmark for security in the quantum computing era. The paper delves into the theoretical underpinnings of quantum mechanics relevant to cryptography, with a particular focus on the entropic uncertainty principle. This principle, which posits a natural limit on the precision with which certain pairs of physical properties can be known, serves as the cornerstone of our proposed encryption method. We meticulously develop and outline a mathematical model that leverages this principle, ensuring that the encrypted information remains secure against the formidable computational capabilities of quantum algorithms. We contrast our approach with existing cryptographic methods, highlighting the enhanced security features offered by the entropic uncertainty-based model. The findings underscore the potential of this framework to serve as a resilient encryption mechanism in a landscape increasingly dominated by quantum computing technologies. This research paves the way for a new era of encryption, one that embraces the uncertainty of quantum mechanics as its shield against the threats posed by quantum computing.

Advancements in Intelligent Encryption Systems and its Applications

The digital era has underscored the necessity for resilient and fortified communication protocols. While traditional encryption methodologies remain indispensable, they confront escalating hurdles posed by evolving cyber threats and burgeoning data intricacies. This special issue endeavours to probe into the strides made in intelligent encryption systems and their capacity to redefine data security amidst these challenges.

Memristör Tabanlı Kaotik Sistemler ve DNA Kodlama Kullanılarak Görüntü Şifreleme Uygulaması

The rapid advancement of internet technologies has accentuated the need for robust data security mechanisms, particularly in the realm of image transmission. Addressing this, our study introduces a cutting-edge encryption system that blends arithmetic operations with DNA-inspired biological processes and the complexity of chaotic systems, presenting a significant evolution in encryption methodologies. The system employs a synergetic fusion of DNA-based encryption and XOR operations, bolstered by a memristor-based chaotic system, to heighten the security barriers of image encryption. This innovative approach not only provides a secure means to transmit images over the internet but also lays new groundwork in the field of cryptographic research. Rigorous security analyses, including correlation, histogram, and differential attack assessments, are performed, with the findings validating the robustness and efficacy of the encryption process. The outcomes of this research extend the discourse on data security, offering a fortified method that could revolutionize the protection of information in an increasingly digitalized world.

Privacy-preserving based encryption techniques for securing data in cloud computing environments

A successful strategy for comprehensive data processing and storage is cloud computing. Nevertheless, in cloud environments maintaining confidentiality for critical data remains one of the biggest concerns for end-users as well as service providers. Homomorphic encryption has been proved to be one of the efficient techniques to handle the data securely in cloud while keeping the data secret. The importance of privacy preserving encryption in cloud computing environments is discussed in this paper to justify the significance of these protocols within the IT Industry that has evolved through the availability of elastic, on-demand resources. This paper presents an overview of privacy-preserving encryption techniques that enhance data security in cloud computing. We explore various encryption methodologies, including Symmetric, Asymmetric, and homomorphic encryption, as well as Encryption Protocols like SMPC, ZKPs, PRE and Functional Encryption. These protocols ensure data confidentiality and regulatory compliance while addressing the challenges of maintaining data utility and minimising exposure risks. By proposing a comprehensive framework that integrates these techniques, we aim to provide a robust solution for safeguarding data privacy in cloud environments, ultimately fostering trust and confidence in cloud services. However, as cloud adoption continues to grow, optimising these encryption protocols for computational efficiency and adaptability remains essential to achieving seamless, secure cloud operations across industries.

FPGA-Based Chaotic Image Encryption Using Systolic Arrays

Along with the recent advancements in video streaming, concerns over the security of transferred data have increased. Thus, the development of fast and reliable image encryption methodologies has become an emerging research area in the field of communications. In this paper, a systolic array-based image encryption architecture is proposed. Systolic arrays are used to apply the convolution operation, and a Lü–Chen chaotic oscillator is used to obtain a convolutional filter. To decrease resource consumption, a method to fuse confusion and diffusion processes by using systolic arrays is also proposed in this paper. The results show that the proposed method is highly secure against some differential and statistical attacks. It is also shown that the proposed method has a high speed of encryption compared to other methods.

Secure LoRa Wireless Communication for Soldier Tracking with the help of Interfacing Two Arduino Uno Devices in Military Operations

In this paper, a Secured LoRa Wireless Communication for Soldier Tracking with the help of Interfacing Two Arduino Uno Devices in Military Operations is presented in brief. This segment introduces a robust and highly secure wireless communication system built upon Long-Range (LoRa) technology, tailored for military applications. The proposed system leverages Arduino microcontrollers to establish a dependable data link between two remote military units, ensuring energy-efficient communication across extended distances. We delve into the system's design, implementation, and encryption methodologies employed to fortify data security. Rigorous testing and evaluation substantiate the system's capability to fulfill the stringent requirements of military communications, including long-range coverage, resilience to interference, and data confidentiality. This research significantly advances military communication technologies, providing a practical solution for safeguarded and efficient data exchange between deployed units. While this paper primarily focuses on long-distance communication, it also delves into the field of Automotive Wireless Communication, specifically Vehicle-to-Vehicle Communication, offering an introductory overview of the latter. The work carried out is the second semester mini-project by the students of Electronics & Communication Engineering under the guidance of the faculties.

Novel encryption technique for enhanced security performance in IoT devices and comparative algorithmic approach of lightweight block ciphers

In recent times, security for hardware and software appliances has proved to be a quintessential extravagance that not many are able to afford or attempt to deliver. This is due to the escalated hacks and technologies that are contrived for smoother pragmatism. Internet of Things (IoT) has become a norm that caters to many quotidian difficulties faced by working class, and is considered to be the rapidly growing technology for sensor-collaborative working. The high necessitation to procure integrated platforms with virtual technologies has therefore augmented the development of IoT globally. However, while its incorporation with adept cognizance is entailed with good maintenance, adequate updations, and systematic security add- ons, there are still persisting glitches that impact the resilience and complete reliability of the devices. Cyberattacks, hacking and data pilferage are some of the common problems that can cause serious detriments when the privacy of data is high. The recent encryption methodologies entailing light-weight block ciphers have ameliorated the veracity, and authentication of devices for registered users. Vast research pertaining this field of study is articulated through encryption and decryption algorithms using AES, RES and other ciphers.

Sulfuric-acid-mediated synthesis strategy for multi-colour aggregation-induced emission fluorescent carbon dots: Application in anti-counterfeiting, information encryption, and rapid cytoplasmic imaging

Aggregation-induced emission fluorescent carbon dots (AIE-CDs) have applications in the fields of multi-colour anti-counterfeiting, information encryption, and imaging. In this study, four AIE-CDs (B-AIE-CDs, G-AIE-CDs, Y-AIE-CDs, and O-AIE-CDs) with blue, green, yellow, and orange fluorescence at high concentrations were fabricated using crystal violet as a precursor, solutions with different sulfuric acid concentrations as solvents under different temperatures and reaction times for the first time. The structural properties and fluorescence behaviour of the AIE-CDs were investigated. The results revealed that the sulfuric acid concentration had a significant effect on the fluorescence colour of the AIE-CDs because sulfuric acid can affect the degree of carbonisation, the type and content of nitrogen. Moreover, the reaction temperature and time affected the surface-defect state and the degree of carbonisation of the AIE-CDs, which affected the emission wavelength and quantum yield (QY) of the AIE-CDs. Furthermore, to exploit the unique characteristics (polychromatic aggregation fluorescence and acid-sensitive properties) of the obtained-AIE-CDs, anti-counterfeiting and information encryption methodologies (i.e., acid-stimuli-response producing multi-colour fluorescence) were preliminarily developed. Finally, B-AIE-CDs with a high QY of 43.5% were successfully used for rapid cytoplasmic imaging, demonstrating their applicability in biological fields.