Encryption Method Research Articles

Enhancing online health consultations through fuzzy logic-integrated attribute-based encryption system

Online health consultations are becoming more popular as a result of technological improvements. Patients routinely look for information about medical disorders online, which could jeopardize the privacy of medical records and increase the workload of healthcare professionals. Nonetheless, academics continue to be extremely concerned about issues related to the quality characteristics that relate to the current architectural models, such as energy consumption, latency, resource utilization, scalability, and packet loss. This method, however, also results in a significant strain being placed on medical experts who must sort through vast amounts of medical records to extract certain information. This paper presents a novel ciphertext policy attribute-based encryption method coupled with fuzzy logic to overcome these issues. This solution uses a hybrid structure of IPFS and blockchain to store data and enables complex bidirectional access control. Before being added to IPFS, medical records are encrypted. To ensure data integrity, related IPFS hash indexes are then added to the blockchain. Utilizing attribute-based technology, users’ data is encrypted to give them fine-grained bidirectional access control. A thorough security analysis proves the system’s resilience, especially when faced with chosen plaintext assaults inside the random oracle model. Tests for this study were conducted using 10–50 attribute sets. This paper’s technique solely makes use of a hash operation. All things considered; the study demonstrates that the proposed design is more efficient than earlier schemes. Thus, from the comparison study above, it can be concluded that the system presented in this work is more efficient. Results from simulations provide additional support for the suggested methodology by highlighting the improved computing efficiency of users as compared to baseline conventional systems. This study demonstrates how technological advancement and healthcare requirements can coexist harmoniously, paving the way for secure and effective online medical consultations that are powered by fuzzy logic.

Burn After Read: A Rewritable Multiplexing Optical Information Storage and Encryption Method

AbstractInformation storage and security are the building blocks of the information age. Optical information storage is a low‐cost, robust, and high‐capacity storage technique. Discovering new optical information storage media and techniques with beyond binary capacity and enhanced security is in demand. Here a beyond‐binary, “burn after read” and rewritable multiplexing optical information storage and encryption method is demonstrated via Ce:YAG trapping states. It is found that the thermo‐luminescence (TL) intensity of Ce:YAG trapping states is writing light power dependent, enabling multi‐gray‐level information storage and encoding.A new strategy to encode multiplexing information in a single pixel, increasing the storage capability is presented. Meanwhile, the burn after read feature protects the data from secondary leakage. This method has wide applications in data storage, anti‐counterfeiting, and encryption.

Chaotic Encryption Scheme for Colour Image using 3D Lorenz Chaotic Map and 3D Chen System

Chaos-based image encryption system is an encryption method that uses chaotic systems in encrypting digital images for the purpose of enhancing security. Chaos theory exhibits some distinctive characteristics, which include butterfly-like patterns, unpredictable behavior, and sensitive dependence to initial conditions. . In the past few decades, image encryption based on a single chaotic map has been a common technique in encrypting images. However, there are still unauthorized interceptors who illegally access and obtain the private information of the image. With that being the case, an encryption method that applies more than one chaotic system will contribute to creating a more complex relationship between the original and encrypted images, making it challenging for unauthorized individuals to decipher or extract the original content of the image without the appropriate decryption key. In this study, two chaotic maps, 3D Lorenz Map and 3D Chen system, are applied to generate random cryptographic keys for encrypting color images using permutation and diffusion mechanisms. The proposed algorithm that employs two chaotic maps is proven to be an effective system that achieves excellent results in security.

Secure Multiple-Image Transfer by Hybrid Chaos System: Encryption and Visually Meaningful Images

The secure transmission of information is one of the most important topics in the field of information technology. Considering that images contain important visual information, it is crucial to create a safe platform for image transfer. One commonly employed tool to enhance the complexity and randomness in image encryption methods is the chaos system. The logistic and sine maps are utilized in encryption algorithms but these systems have some weaknesses, notably chaotic behavior in a confined area. In this study, to address these weaknesses, a hybrid system based on the Atangana–Baleanu fractional derivative is proposed. The various tests employed to evaluate the behavior of the new system, including the NIST test, histogram analysis, Lyapunov exponent calculation, and bifurcation diagram, demonstrate the efficiency of the proposed system. Furthermore, in comparison to the logistic and sine maps, the proposed hybrid exhibits chaotic behavior over a broader range. This system is utilized to establish a secure environment for the transmission of multiple images within an encryption algorithm, subsequently concealing them within a meaningful image. Various tools employed to assess the security of the proposed algorithm, including histogram analysis, NPCR, UACI, and correlation values, indicate that the proposed hybrid system has application value in encryption.

A Study on the Navigating Cybersecurity Challenges in the Digital-era

In today's era Navigating cybersecurity concerns is a top priority for individuals, corporations, and governments in today's digital landscape. This in-depth research explores the complex realm of cybersecurity, looking at the new dangers and the methods used to successfully counter them. The swift growth of digital technologies, encompassing cloud computing and the widespread use of Internet of Things devices, has greatly expanded the attack surface, revealing weaknesses that malevolent actors can promptly take advantage of. Gaining an understanding of these weaknesses is essential to creating strong defenses. The present study centers on pivotal components of cybersecurity strategy, commencing with the pivotal function of encryption in safeguarding confidential information. An essential layer of security is provided by encryption methods and protocols, which prevent unauthorized users from reading data. Furthermore, the application of multi-factor authentication is examined as a crucial security precaution. The security of digital assets is greatly increased by MFA, which requires users to submit several kinds of authentication, such as passwords, biometric information, or security tokens. The study also explores the significance of intrusion prevention systems and intrusion detection systems in preventing unwanted access. IDS keeps an eye on networks for unusual behavior or security policy violations and instantly notifies administrators of any hazards. people can learn how to spot and avoid social engineering scams. Organizations may greatly lower the chance of successful cyber intrusions by arming users with knowledge. Finally This report concludes by emphasizing how urgent it is to address cybersecurity issues in the digital age. A proactive, multi-layered protection plan is essential due to the increasing sophistication and pervasiveness of cyber threats.

The Role of Cybersecurity in Blockchain

As the maintenance of blockchain grows, so does the importance of cybersecurity in ensuring its integrity and purity. This paper explores the critical role of cybersecurity in the context of blockchain technology. The paper begins by providing an overview of blockchain technology and its key features, highlighting its potential benefits and challenges. It then delves into the cybersecurity considerations specific to blockchain, including cryptographic principles, consensus mechanisms, and smart contract vulnerabilities. The paper also evaluates current cybersecurity practices and solutions tailored for blockchain environments, including encryption methods, consensus mechanism enhancements, and decentralized iden0tity management. Additionally, it highlights the importance of collaboration between cybersecurity experts, blockchain developers, and regulatory bodies to address emerging threats effectively. Keywords: Cybersecurity, Blockchain, Technology.

Adoption of Blockchain Technology for Data Management of Human Resource Demands in Organizational Enterprises

Human resource data accuracy has become a significant factor in assessing the effectiveness and performance of human resource management (HRM) in businesses. Numerous human resource hazards originating from asymmetric information continue to cost firms money and even put companies out of business despite the rapid progress of mobile technology and Internet technology. Blockchain is a transaction platform that makes use of the immutability qualities of immutable data records. Because of the dispersed nature of this technology, it has a broad variety of applications in numerous industries. Seeing the potential of this new technology, we picked the HRM sector since this data must be kept private and secret while still having great research value. This research presents a unique blockchain-based encryption method for establishing an HRM data method that decreases the danger of HRM data integrity. The data is authenticated using smart contracts, and data is encrypted using the proposed Improved Identity-based blowfish encryption algorithm (IIBEA) with Particle Swarm Optimization (PSO). New blocks are verified using the Proof of Work (PoW) consensus process. The suggested model's metrics are examined and compared to traditional encryption approaches. This model solves the lack of difference in the authenticity of HRM information, and it will give real and effective information to the HRM of organizational companies.

ESVFL: Efficient and secure verifiable federated learning with privacy-preserving

Federated learning has been widely applied as a distributed machine learning method in various fields, allowing a global model to be trained by sharing local gradients instead of raw data. However, direct sharing of local gradients still carries the risk of privacy data leakage, and the malicious server might falsify aggregated result to disrupt model updates. To address these issues, a lot of privacy-preserving and verifiable federated learning schemes have been proposed. However, existing schemes suffer from significant computation overhead in either encryption or verification. In this paper, we present ESVFL, an efficient and secure verifiable federated learning scheme with privacy-preserving. This scheme can simultaneously achieve low computation overhead for encryption and verification on the user side. We design an efficient privacy-preserving method to encrypt the users’ local gradients. Using this method, the computation and communication overheads of encryption on the user side is independent of the number of users. Users can efficiently verify the correctness of aggregated results returned by the cloud servers using cross-verification. During the verification process, there is no interaction among users and no additional computation is required. Furthermore, we also construct an efficient method to address the issue of user dropout. When some users drop out, online users do not incur any additional computation and communication overheads, while guaranteeing the correctness of the aggregated result of online users’ encrypted gradients. The security analysis and the performance evaluation demonstrate that ESVFL is secure and can achieve efficient encryption and verification.

Toward FPGA Intellectual Property (IP) Encryption from Netlist to Bitstream

Current IP encryption methods offered by FPGA vendors use an approach where the IP is decrypted during the CAD flow, and remains unencrypted in the bitstream. Given the ease of accessing modern bitstream-to-netlist tools, encrypted IP is vulnerable to inspection and theft from the IP user. While the entire bitstream can be encrypted, this is done by the user, and is not a mechanism to protect confidentiality of 3rd party IP. In this work we present a design methodology, along with a proof-of-concept tool, that demonstrates how IP can remain partially encrypted through the CAD flow and into the bitstream. We show how this approach can support multiple encryption keys from different vendors, and can be deployed using existing CAD tools and FPGA families. Our results document the benefits and costs of using such an approach to provide much greater protection for 3rd party IP.

Quantum Image Cryptography of Continuous Chaotic Maps by Using Pixel Shuffeling

Images are important data carriers because, compared to text data, they are harder to transfer or store securely and include higher volumes and redundancies of digital data. Images can be shielded against a variety of risks with security, including eavesdropping and illegal copying and alteration. Because of the potential quantum risk to the existing cryptographic encryption methods and the quick advancement towards the development of quantum computers, quantum image encryption algorithms have recently drawn increasing amounts of attention. The majority of quantum image encryption techniques such as diffusion and scrambling, involve two separate rounds. In this model, the three different chaotic maps are used separately for scrambling the images to determine the performance of the quantum image cryptography with different combination of the model. At first, the hash256 algorithm is used for generating the quantum key and the forward diffusion takes place for diffusing the first pixel to final pixel of the input image information. Then, the three different chaotic maps such as pixel permutation, Chen attractor and Lorenz attractor are used for scrambling the input image. Finally, the bit-level permutation and backward diffusion process are considered for the scrambled image. For evaluating the performance of the quantum image cryptography based on the three different chaotic maps, the NPCR, UACI, Entropy, SSIM, correlation characteristics and histogram analysis are determined. The attained NPCR, UACI, Entropy and SSIM of the CASIA2 dataset for Lorenz attractor are improved than the pixel permutation and Chen attractor. Thus, from the attained values, the Quantum Image Cryptography Based on Continuous Chaotic Map such as Lorenz attractor performs better for the statistical and differential analysis than the other chaotic maps.

A Study of An Image Encryption Model Based on Tent-Ushiki Chaotic Fusion

Aiming at the shortcomings of current image encryption, such as simple structure, few parameters and small key space, we propose the Tent-Ushiki chaotic mapping image encryption method based on the improved firefly optimization algorithm. First, a chaotic mapping model based on the fusion of Tent and Ushiki is proposed. Second, for the lack of parameter optimization in chaotic models in general, we introduce the firefly optimization algorithm and optimize the algorithm for the shortcomings in terms of the adaptive step size, the adjustment factor and the inertia weights. Finally, the improved firefly algorithm is used for the fusion of the chaotic parameters of Tent and Ushiki. In the simulation experiments, this paper’s algorithm performs well in the statistical analysis and adjacent element correlation of the classical image test and significantly outperforms the comparative algorithms in terms of information entropy and anti-attack, which demonstrates that the algorithm is able to optimize the image encryption effect better.

Secure Image Encryption Techniques with Fuzzy based Operation Modes for Trustworthy Accessing in Communication Devices

Digital networks present a number of interesting research problems, one of which is the secure image transfer through various channels of communication. In these circumstances, cryptography algorithms are commonly employed to securely encrypt and decode data at both the sending and receiving ends. To determine the most effective method of image encryption, a wide range of modern algorithms are analysed and compared. In this study, we describe several fuzzy modes of operation for image encryption. It guarantees the safety of digital image transfer. The work's goal is to provide the most trustworthy image encryption possible; This is achieved by integrating image encryption methods into a hybrid fuzzy based architecture. The proposed composite fuzzy-based encrypted systems (CFES) are recommended for use in order to ensure the security of data on various communications media. The composite fuzzy-based encrypted systems provide strong security while yet protecting users' privacy while viewing image content.

Demystifying the Network and Cloud Forensics’ Legal, Ethical, and Practical Considerations

As cybercrimes grow more sophisticated, network and cloud forensics have become vital investigative tools. However, complex legal, ethical, and practical challenges around extraterritorial evidence, privacy rights, volatile data, and specialized skills constrain these processes. This study critically reviews academic literature and industry reports to examine these multifaceted considerations holistically. It aims to aggregate the latest insights around regulations, technical protocols, certification regimes, and international cooperation frameworks shaping network and cloud forensics. The study follows qualitative research methodology, a doctrinal approach used for the analysis of regulation, and grounded theory used for the analysis of related literature. The results reveal gaps around the liability limitations of internet service and cloud providers, ethical bounds for ancillary data collection, and anti-forensic obfuscation techniques. Proposed solutions include accountability in technology design through transparency and oversight. Simplify procedures for cross-border legal assistance requests. Develop lightweight encryption methods that still enable lawful access as well as promote collaboration between industry and academia to advance cybersecurity tools.

Secure Cloud Storage Solution with “Seafile” & “NextCloud”: A Resilient Efficiency Assessment

Storage and file synchronization have become increasingly important services in our everyday lives. With cloud storage providers giving users access to file space in the cloud, one might wonder how efficient these cloud storage providers are with their encryption methods. There are many different cloud storage providers and programs to set up a cloud storage solution. This paper focuses on two secure cloud storage solutions, Seafile, and NextCloud, and determines the efficiency of these cloud storage solutions’ encryption methods. By determining the efficiency of these secure cloud storage providers’ encryption methods, it can help others determine which of these providers will fit their needs. To determine efficiency, the CPU, memory, and network usage of these cloud storage solutions will be measured at idle and when files are being uploaded to them. To measure the CPU, memory, and network usage, ‘dstat’ will be used to capture their usages and record them to a CSV file. It is expected that both cloud solutions will have better performance when they have files being uploaded to them with no encryption. However, with the encryption methods of both cloud solutions being lightweight, that was not the case.

StealthPassage: Encrypted Text Concealed with Hashing ,

An innovative method of protecting confidential data is to hide it using encryption and decryption. In order to make the secret message disappear to the unaided eye, this encryption method embeds it into the visible text. When it comes to protecting data from unwanted access, the emergence of digital communication has made novel approaches necessary. One such approach is concealed text encryption. In order to better understand of concealed text encryption, this study examines the fundamental algorithms and approaches as well as their principles and methodologies. This text encryption makes certain that the encrypted communication is not revealed to uninvited parties by utilizing cryptography, the art of hiding information within other data. The content of the encrypted file will disappear, which means no one can predict the information hiding behind the whitespace background, and it is very complex to decrypt the encrypted file. This method provides stronger security for our information than other methods of cryptography. Keyword: Encryption, Decryption, Hashing Algorithm

A novel chaotic image encryption is based on fractional wavelet decomposition and quantum transform model

A new chaotic image encryption scheme based on fractional order wavelet decomposition is proposed in this paper. Initially, the image undergoes a three-stage fractional-order wavelet decomposition, resulting in high-frequency and low-frequency components. High-frequency components are dislocated using a chaotic system, while low-frequency components are dislocated employing a fractional matrix model. Subsequently, the scrambled image undergoes quantum encoding followed by the Arnold transform to yield the final scrambled result. Ultimately, the encryption process involves iteratively acquiring the M4 key matrix and diffusing the quantum image through permutation to obtain the final encryption result. Simulation experiments and numerical analyses demonstrate the high security level of the proposed encryption method.

Security Analysis of Differential Chaotic Keying in Optical Communication

Space free optical communication (FSO) has the advantages of wide bandwidth resources, less susceptibility to attacks, strong resistance to interference, and low losses. The FSO system itself has high security, with the realization of single photon detection technology, the stealer can obtain information without blocking the beam propagation. So using chaotic encryption methods can further improve the security performance of communication systems. This article uses a gamma gamma turbulence model and utilizes the differential chaotic shift keying (DCSK) method of communication systems to improve the system’s resistance to attacks. The theoretical expression of the system error rate under this model is derived, and the security performance of the system is further analyzed. Through experimental simulation, it is proved that the system has better resistance to attacks and lower bit error rates.

An algorithm based on 6D fractional order hyperchaotic system and knight tour algorithm to encrypt image

Abstract The security guarantee of data transmission is becoming more crucial as the frequency of information interchange rises. Ensuring the security of images is essential since they serve as a vital transmission medium. This research suggests an image encryption method that combines the knight tour algorithm with a 6D fractional order hyperchaotic system. First, chaotic sequences are produced using a fractional order hyperchaotic system, which is then utilized to index order and jumble the entire image. To retrieve the image after the second scrambling, choose the knight tour beginning point and run ten rounds of knight tour algorithms on the scrambled image. Thirdly, to maximize the efficiency of picture encryption, employ diffusion methods. The outcomes of the imaging experiment were lastly tested and assessed. The security of the image can be successfully guaranteed by a high-dimensional fractional order hyperchaotic system. This is because its high dimensionality gives it a larger key space than the low dimensional system. This is why it can resist attacks more effectively. After a series of evaluation experiments, it is obvious that this encryption scheme has good encryption performance.

Sexological Diagnosis: Methodology of Diagnosis and Classification of Sexual Disorders in Men

The lecture presented a methodology for assessing sexual health and staging sexological diagnosis. Based on the assessment of the vast clinical material (23 601 married/partner couples and 4113 male patients without a partner, aged 16 to 85, who sought help on their own or on the referral of other doctors to the Kyiv Center for Family Planning, Sexology and Reproductive Health for the period from 1996 to 2019) the main clinical forms of sexual disharmony and sexual dysfunction in men are presented, as well as the frequency of certain forms and their etiopathogenetic study. It also gives examples of sexological diagnoses and methods of statistical encryption according to ICD-10.

Digital medical image encryption approach in real-time applications

Patient information and medical imaging data are now subject to stringent data security and confidentiality standards due to the proliferation of telemedicine techniques and medical imaging instruments. Because of the problems described above, as well as the possibility of data or information being stolen, this brings up the dilemma of transmitting data on medical images via an open network. In the past, potential solutions included the utilization of methods such as information concealment and image encryption. Nevertheless, attempting to reconstruct the original image utilizing these approaches may result in complications. In the process of this paper, an algorithm for safeguarding medical images based on the pixels of interest was established. Detection of image histogram peaks for the purpose of calculating peaks in medical images pixels of interest in medical image that have had their threshold values processed. The threshold is shown by taking the average of all the peaks in the histogram. After that, a Sudoku matrix is used to assign values of interest to each of these pixels. The proposed method will be assessed by a variety of statistical procedures, and the outcomes of these analyses will be compared to previously established standards. According to the findings, the suggested method has superior security performance compared to other image encryption methods already in use.