Hybrid Cryptography Research Articles

Optimizing the Application of Hybrid Cryptographic Methods for Secure File Storage and Retrieval


 
 
 
 In the modern digital era, the protection of sensitive data from unauthorized access is of utmost importance. A key concern in this regard is secure file storage. To address this issue, hybrid cryptography offers a viable solution by combining the strengths of various encryption techniques in both a vertical and horizontal manner. In hybrid cryptography, the original symmetric key is encrypted with a different symmetric key, while the actual data is encrypted using yet another symmetric key. This approach allows for quick and efficient encryption and decryption of the data, while also providing the added security of multiple encryption methods for authentication. By employing hybrid cryptography, organizations can ensure the secure storage of their critical data, safeguarding it against unauthorized access and potential data breaches.
 
 
 

Towards secure IoT system from a smart city perspective: An optimized algorithm and implementation

AbstractSecuring Internet of Things (IoT) systems is crucial for maintaining the resilience and trustworthiness of smart cities. In this context, the routing protocol's efficiency is pivotal for large‐scale IoT applications. However, achieving dependable and energy‐efficient routing in wireless sensor networks (WSNs) poses significant challenges due to limited and non‐rechargeable node energy resources. Also, traditional approaches often fell short of ensuring robust security and efficient data transmission. Hence, the purpose of this research was to address these shortcomings by introducing the Blowfish Honey‐Improved Spotted Hyena Optimization (BONY‐ISHO) protocol aimed at bolstering the security and efficiency of clustering and data routing in WSNs. Firstly, it introduces blockchain technology to establish secure and authenticated clustering, ensuring that only legitimate cluster heads and member nodes can participate. This innovation significantly enhances network security. Secondly, our protocol incorporates a hybrid Blowfish‐Honey cryptographic technique for data protection within the Area of Interest (AOI). This dual‐layer security approach, comprising Blowfish encryption and Honey encryption for key management, guarantees robust privacy and security. Thirdly, we have optimized data routing through the Improved Spotted Hyena Optimization (ISHO) algorithm, extending the network's lifetime and conserving energy resources. Performance evaluations confirm the superiority of the BONY‐ISHO protocol and existing solutions. It achieves a higher packet delivery ratio (99.8%), increased throughput (45 000 kbps), reduced energy consumption (1.68 joules), and minimized latency (0.068 sec) when compared to traditional methods. These performance enhancements make the BONY‐ISHO protocol a compelling choice for securing and optimizing IoT‐based WSNs. Our study concludes that the BONY‐ISHO protocol is a highly effective solution for addressing security and efficiency challenges in IoT‐based WSNs. By combining blockchain‐based authentication, hybrid cryptography, and intelligent routing algorithms, we have achieved a comprehensive enhancement of network security and data transmission efficiency. The protocol's ability to thwart malicious nodes and optimize routing pathways ensures the integrity and reliability of IoT‐based WSNs.

HECC‐ABE: A novel blockchain‐based IoT healthcare data storage using hybrid cryptography schemes with key optimization by hybrid meta‐heuristic algorithm

AbstractThe most contemporary development in information technology is the Internet of Things (IoT), which integrates the digital world with the real world. It makes it possible for things and people to communicate via the Internet. Blockchain is one of the popular topics of interest right now, and it can be used in most IoT applications. The blockchain's salient characteristics, like decentralization, data integrity, confidentiality, protection, and openness, are the main reasons for implementing it in healthcare services. Hence, this paper introduces an effective approach for storing IoT‐based healthcare data storage in the blockchain. The procedures in this suggested paradigm are as follows: user authentication, user trust verification, and optimal key storage in the blockchain. Wearable sensors are inserted in or adhered to a patient's body and used by IoT networks to gather healthcare data. These details are supplied into the verification structure constructed by adaptive dilated long short term memory with attention network (AD‐LSTM‐AN). Once the user's authentication is confirmed, then the user's trust level is computed. The same AD‐LSTM‐AN‐based verification structure is used to verify the historical data that has been stored and retrieved by the user, together with their previous transactions, in this phase. The healthcare data are then sent to the hybrid elliptic curve cryptography with attribute‐based encryption (HECC‐ABE) cryptography schemes for data encryption once the authentication of the person who attempts to store the data is confirmed. An adaptive final position‐based golden eagle‐Harris hawks optimization (AFP‐GEHHO) algorithm is used for optimizing the keys of the encrypted data. The blockchain platform stores the encrypted data of the authorized user with a high level of trust. The same process is done in reverse order whenever a user needs to recover information that is saved in the blockchain to retrieve the initially stored healthcare data. The effectiveness of secure data storage in blockchain is tested through experimental simulations. Throughout the analysis, the designed model achieves 96% in terms of accuracy. Thus, the developed model shows more secure and effective, has less error and reduces the time and memory requirements compared to existing approaches.

Hybrid Cryptography and Steganography-Based Security System for IoT Networks

Despite the fact that many IoT devices are publicly accessible to everyone on the network, understanding the security risks and threats posed by cyber attacks is critical; as a result, it should be safeguarded. Plain text is constructed into encrypted text, before being delivered by using cryptography, and is then reconstructed back to plain text after receiving a response from the recipient. The steganography technique can be used to hide sensitive information incorporated in a text, audio, or video file. One approach is to hide data in bits that correspond to successive rows of pixels with the same color in an image file. As a consequence, the image file retains the original's appearance while also containing "noise" patterns made out of common, unencrypted data. To do this, the encrypted data is subtly applied to the redundant data. In this work, it is suggested that IoT network data be encrypted using cryptography, and that an encrypted message be concealed inside an image file using steganography. Additionally, it is suggested to enhance the number of bits that may be stored within a single picture pixel. The payload that may be sent through an image is significantly increased by incorporating Convolutional Neural Networks into the classic steganography technique. In this work, we propose, design, and train Convolutional Neural Networks (CNN) to enhance the amount of data that can be securely encrypted and decrypted to show the original message.

Applying Detection Leakage on Hybrid Cryptography to Secure Transaction Information in E-Commerce Apps

Technology advancements have driven a boost in electronic commerce use in the present day due to an increase in demand processes, regardless of whether goods, products, services, or payments are being bought or sold. Various goods are purchased and sold online by merchants (M)s for large amounts of money. Nonetheless, during the transmission of information via electronic commerce, Ms’ information may be compromised or attacked. In order to enhance the security of e-commerce transaction data, particularly sensitive M information, we have devised a protocol that combines the Fernet (FER) algorithm with the ElGamal (ELG) algorithm. Additionally, we have integrated data leakage detection (DLD) technology to verify the integrity of keys, encryptions, and decryptions. The integration of these algorithms ensures that electronic-commerce transactions are both highly secure and efficiently processed. Our analysis of the protocol’s security and performance indicates that it outperforms the algorithms used in previous studies, providing superior levels of security and performance.

A Survey on Hybrid Cryptography for Secure File Storage on the Cloud

Abstract: This paper suggests the use of hybrid cryptography for safe cloud file storage and gives a software to implement it. To establish higher security measures, the application mixes symmetric and asymmetric encryption algorithms. The data is encrypted using symmetric encryption, and the symmetric key is encrypted using asymmetric encryption, guaranteeing that the data is encrypted using a unique key for each user while also protecting the key itself. The Advanced Encryption Standard (AES) algorithm is used for symmetric encryption, whereas the Rivest-Shamir-Adleman (RSA) method is used for asymmetric encryption. It has functions like user authentication, file upload/download, and key management. This study illustrates the efficacy of hybrid cryptography for protecting cloud-stored information and gives a framework for implementing it.

Hybrid AES model with elliptic curve and ID based key generation for IOT in telemedicine

With the aid of various medical sensors, a remote patient monitoring system will be designed for Internet of Things (IoT)-based telemedicine applications. With the aid of AI algorithms, the healthcare sensor data will eventually be identified and forecasted. In the current healthcare sector, a lot of sensitive data is exchanged. The integration of an increasing number of digital technologies in hospitals, together with laboratory and outpatient examinations of patients and their accompanying files, have all contributed to the growth of data related to patient care in recent years. Electronic health record systems are medical management systems that include all of a patient's personal and medical data. As a consequence, it is crucial that this data be stored and secured in the cloud. This paper describes a data storage and security solution that is well suited for the Internet of Medical Things. Because of the shorter key length, the improved Elliptic Curve Cryptography (ECC) approach using Blake2 hashing takes substantially less time to encrypt. The data is encrypted with the created key and the Advanced Encrypted Standard (AES). The proposed security approach is a hybrid cryptography technique that combines symmetric and asymmetric key encryption, resulting in a more secure system.

IoT Network Security System Using Steganography and Hybrid Cryptography

IoT Network Security System Using Steganography and Hybrid Cryptography

SECURE FILE STORAGE ON CLOUD USING HYBRID CRYPTOGRAPHY

Our project aims to provide secure file storage for users on the cloud (specifically on AWS S3) by utilizing a hybrid cryptography approach. This involves encrypting files using both AES and RSA algorithms, with the user receiving the encryption key through email. To further enhance security, the key will be hidden behind an image or within a PDF document using steganography techniques. Additionally, the files stored in the S3 bucket will also be encrypted, but instead of encrypting the contents of the file, we will encrypt the file format itself. The file format can be decrypted using the GHE decryption key and software, which will be made available to end-users. Overall, our project aims to provide a robust and secure solution for cloud-based file storage.

A Hybrid Cryptography and LogiXGBoost Model for Intelligent and Privacy Protection in Wireless Body Sensor Networks (WBSNS)

A Hybrid Cryptography and LogiXGBoost Model for Intelligent and Privacy Protection in Wireless Body Sensor Networks (WBSNS)

Analysis of Hybrid Cryptography for Secure Exchange of Information

Analysis of Hybrid Cryptography for Secure Exchange of Information

The Design and Implementation of a Secure File Storage on the Cloud using Hybrid Cryptography

In recent years, cloud computing has become a popular way of storing and sharing data. However, security concerns have been raised about the safety of sensitive information stored on the cloud. Hybrid cryptography, which combines symmetric and asymmetric encryption, has been proposed as a solution to these concerns. This paper proposes a new hybrid cryptography approach for secure file storage on the cloud regardless of the type of deployment model i.e., either public cloud, private cloud, or hybrid cloud. The proposed approach uses a combination of the Advanced Encryption Standard (AES) algorithm, Triple Data Encryption Standard (DES) algorithm, and Rivest cipher 6 (RC6) algorithms are used to provide block-wise security to data. LSB steganography technique is introduced for key information security.

File Storage System using Hybrid Cryptography

Now a days file storage system is used in many areas where we can retrieve the data on the users request However, providing our sensitive, personal data to a third party is not exactly the best practice. The only alternative is to make a storage system of our own but that can be tedious to do so and also even if achieved the major stumbling trying to create a secure file storage system is using cryptography, even though it is an excellent and only security measure, but there is a significant drawback in using such technique. Cryptography is based primarily on generation and the proper using of keys if those keys are accidentally leaked or stolen then the entire data, data security is destroyed. A perfect solution is the use of hybrid cryptography in which current encryption is used in combination for additional security. Hybrid cryptography is a concept where we use multiple encryption algorithms to encrypt the file in such a way that the information security is massively improved. Instead of having one good algorithm we will now have multiple ‘good’ algorithms working in unison to protect the data.

Securing Critical User Information over the Internet of Medical Things Platforms Using a Hybrid Cryptography Scheme

The application of the Internet of Medical Things (IoMT) in medical systems has brought much ease in discharging healthcare services by medical practitioners. However, the security and privacy preservation of critical user data remain the reason the technology has not yet been fully maximized. Undoubtedly, a secure IoMT model that preserves individual users’ privacy will enhance the wide acceptability of IoMT technology. However, existing works that have attempted to solve these privacy and insecurity problems are not space-conservative, computationally intensive, and also vulnerable to security attacks. In this paper, an IoMT-based model that conserves the privacy of the data, is less computationally intensive, and is resistant to various cryptanalysis attacks is proposed. Specifically, an efficient privacy-preserving technique where an efficient searching algorithm through encrypted data was used and a hybrid cryptography algorithm that combines the modification of the Caesar cipher with the Elliptic Curve Diffie Hellman (ECDH) and Digital Signature Algorithm (DSA) were projected to achieve user data security and privacy preservation of the patient. Furthermore, the modified algorithm can secure messages during transmission, perform key exchanges between clients and healthcare centres, and guarantee user authentication by authorized healthcare centres. The proposed IoMT model, leveraging the hybrid cryptography algorithm, was analysed and compared against different security attacks. The analysis results revealed that the model is secure, preserves the privacy of critical user information, and shows robust resistance against different cryptanalysis attacks.

A crypto-steganography healthcare management: towards a secure communication channel for data COVID-19 updating

<span lang="EN-US">Nowadays, secure transmission massive volumes of medical data (such as COVID-19 data) are crucial but yet difficult in communication between hospitals. The confidentiality and integrity are two concerning challenges must be addressing to healthcare data. Also, the data availability challenge that related to network fail which may reason concerns to the arrival the COVID-19 data. The second challenge solved with the different tools such as virtual privet network (VPN) or blockchain technology. Towards overcoming the aforementioned for first challenges, a new scheme based on crypto steganography is proposed to secure updating (COVID-19) data. Three main contributions have been consisted within this study. The first contribution is responsible to encrypt the COVID-19 data prior to the embedding process, called hybrid cryptography (HC). The second contribution is related with the security in random blocks and pixels selection in hosting image. Three iterations of the Hénon Map function used with this contribution. The last contribution called inversing method which used with embedding process. <span>Three important measurements were used the peak signal-to-noise ratio (PSNR), the Histogram analysis and structural similarity index measure (SSIM). Based on the findings, the present scheme gives evidence to increase capacity, imperceptibility, and security to ovoid the existing methods problem.</span></span>

A security model to protect the isolation of medical data in the cloud using hybrid cryptography

A cloud computing platform delivers a cost-efficient path for cloud users to store and access data privately over remote storage via an Internet connection. Medical data is stored in the cloud since it is scalable, secure, reliable, provides ubiquitous access, and is highly available. It is required to be isolated in terms of physical, network, and operational for protecting data from internal threats or external cyber-attacks. It can be achievable through hybrid cryptography in which symmetric, as well as asymmetric cryptosystem, is being utilized. To assure the confidentiality and integrity of medical data, an improved Robust S-box-based Advanced Encryption Standard (IRS-AES) is proposed with Runge-Kutta Optimization (RKO) algorithm. RKO generates an enhanced and secured RS-box through the computation of the Mackey-Glass equation. Initially, the medical data are compressed using Improved Huffman Coding (IHC). The Deoxyribonucleic Acid (DNA)-based Modified Elliptic Curve Cryptography (MECC) algorithm is introduced for key generation, and the best key is selected with Bald Eagle Search optimization (BES) algorithm. Finally, the medical data are encrypted IRS-AES algorithm and stored in the cloud. The proposed RS-box security strength is evaluated using non-linearity, Strict Avalanche Criterion (SAC), Differential Probability (DP), Bit Independence Criterion (BIC), and Linear Probability (LP) parameters. The efficiency of the proposed algorithm is evaluated with image, audio, and video dataset. The evaluation metrics such as communication overhead, file upload time, computational cost, Mean Square Error (MSE), encryption and decryption time, Peak Signal-to-Noise Ratio (PSNR), key generation time, and Signal-to-Noise Ratio (SNR) are used for validating the proposed approach. The performance of the proposed approach is enhanced with the communication overhead of 11.51 for the image dataset. MSE and PSNR obtained are 16.2 and 8.465 for an audio dataset, 75.21 and 3.5 for the video dataset.

A Novel Hybrid Multikey Cryptography Technique for Video Communication

Online video streaming is becoming more widespread in people’s everyday entertainment routines. Protecting copyright and piracy has become a key concern in real-time video streaming systems. This research provides a revolutionary multi-key and hybrid cryptography approach to offer security. This work describes the software implementation of video encryption and decryption employing continuous systems based on the Elliptic Curve Cryptography approach as pseudorandom encryption key generators. This approach creates several keys to encrypt and decode small chunks of video files that are produced dynamically based on the video data. The suggested approach was implemented on the Android platform, where applications for sender and recipients had been created to enable streaming. The security and performance of the proposed system have been examined by implementing it on devices and streaming videos. The outcomes demonstrate superiority in terms of performance and security.

A Hybrid Cryptography Method using Extended Letters in Arabic and Persian Language

A Hybrid Cryptography Method using Extended Letters in Arabic and Persian Language

Hybrid Cryptosystem Ensuring CIA Triad

Any untoward incident occurs while transmitting data digitally may lead to threats whenever the data is transmitted to malicious destination unknowingly, there arises a question of data integrity. In this scenario cryptography plays a crucial role in ensuring the users both confidentiality and integrity while transmitting of data over various network platform, supporting with the algorithms like AES, hashing etc., to ensure end user safety. In this paper, an improved hybrid cryptography system which is a combination of message digest and symmetric key algorithm is being incorporated. This proposed system provides confidentiality as well as integrity.

A Hybrid Cryptography Technique for Cloud Data Security

A Hybrid Cryptography Technique for Cloud Data Security