Strong Encryption Research Articles

The Current Status of Digital Currency Development in China

Abstract: Digital currencies, as innovative products in the field of financial technology, are characterized by their decentralized structure and strong encryption based on blockchain and other technologies. Although your mention of relying on local area networks may be a bit of a misnomer in the broad sense, as the operation of digital currencies relies more broadly on the Internet rather than a single local area network, the concepts of digital encryption and decentralization it emphasizes are accurate. Legal digital currencies, such as the Digital Currency Electronic Payment (DCEP) issued by the People's Bank of China, represent a milestone in this field. They not only integrate the security and transparency of blockchain technology but also achieve a perfect combination of controllable anonymity and legal tender status through the deep integration of the generalized account system with the banking system. The issuance of DCEP marks an important step forward for China in the field of digital currencies and is expected to have a profound impact on the financial market, promoting the modernization and upgrading of the payment system, enhancing transaction efficiency and security, and at the same time, providing the public with more convenient and secure payment options, further integrating into and changing people's daily lifestyles.

Integration of BWT scrambling and data compression in an innovative system enhances protection and versatile management of sensor feeds (SEC)

The proposed Sensor Data Encryption with Compression (SEC) system is presented as an innovative solution for sensor data processing, aiming to achieve optimal efficiency while improving security and adaptability by integrating robust cryptography with advanced compression techniques. The system's objective is to create a reliable framework for managing sensitive sensor data by effectively tackling challenges in data processing through a balanced combination of strong cryptography and sophisticated compression methods. The SEC system utilizes advanced encryption and compression techniques, including the scrambling of Burrows-Wheeler Transform (BWT), Move-to-Front (MTF) encoding, Run-Length Encoding (RLE), and Huffman coding, to attain exceptional compression efficiency while maintaining data integrity. The practical implementation of the SEC system shows an impressive 85% enhancement in data compression efficiency, as evidenced by reduced Bits per Character (BPC) across various sensor data inputs, along with improved resistance to cryptanalysis due to an increased unicity distance. Consequently, the SEC system demonstrates itself to be a robust and efficient solution, achieving superior data compression and enhanced cryptographic resilience, thereby addressing critical challenges in sensor data processing.

Innovative Soft Cryptosystem for Encrypting and Decrypting Messages with IDEA

This paper introduces an advanced cryptosystem for message encryption and decryption, integrating the International Data Encryption Algorithm (IDEA) with soft set and soft matrix principles. Soft sets, conceptualized by Molodtsov, are adept at managing uncertainty, making them ideal for cryptographic frameworks. Our approach utilizes inverse and characteristic products of soft sets and matrices, combined with the robust IDEA algorithm, to significantly enhance security. The IDEA algorithm operates on 64 -bit data blocks with a 128 -bit key, ensuring strong encryption. Additionally, we incorporate the symmetric to introduce complex permutations, further strengthening the cryptographic process by ensuring unique encryptions for identical plaintexts. This layered approach drastically improves resilience against unauthorized decryption. Practical applications demonstrate the system's efficacy, highlighting its superior security and reliability for data transmission in environments with high uncertainty. This innovative cryptosystem provides a formidable solution for contemporary encryption challenges.

A robust approach to satellite image encryption using chaotic map and circulant matrices

AbstractIn the modern era, where satellite imagery is vital for applications like ecological monitoring and national security, ensuring the safety and integrity of these data repositories is crucial. This study presents an improved satellite image encryption technique that combines the cryptographic strength of the circulant matrix in the Hill cipher with the dynamic characteristics of the hyperbolic tangent tent map, further enhanced by the Kronecker XOR product. The algorithm initiates with computing alterations by a shift amount. After preserving the leftmost pixel in each row, it executes XOR operations between alternating rows, combining the value of the current even or odd row with corresponding pixels in the adjacent rows followed by encryption using the Hill cipher. The resulting image undergoes a diffusion process utilizing a hyperbolic tangent tent map. The Kronecker XOR product operation is then applied to individual pixels to produce a secure image followed by additional diffusion with keys from the hyperbolic tangent tent map to achieve the final encrypted image. We conducted simulations using MATLAB to assess the efficiency of the proposed satellite image encryption from theoretical and statistical perspectives. The results exhibit robust encryption performance as demonstrated by metrics such as an entropy value of 7.9982, a UACI of 33.5333%, and an NPCR of 99.6038%. The experiment results demonstrate the proposed image encryption scheme's reliability, practicability, and efficiency in securing satellite images during data storage and transmission. Comprehensive testing against various attacks including correlation, histogram, chi‐square, NPCR, PSNR, UACI, SSIM, key space and key sensitivity analysis confirms the scheme's robustness, efficiency and speed. These findings verify the scheme's ability to come across the most stringent encryption and decryption standards, making it an effective solution for securing sensitive satellite image data.

Implementing a Three-Step Security Protocol for Advanced Online Election Systems: A Novel Approach

Organization of voting is the strength of character of all equalitarianism and system. Our country utilize an offline voting systems that are incompetent and disorganized by cause of the demand for abundant man power, and more refinement time for announcement outcome. Our Online Voting System aims at minimizing the division between traditional voting methods by facilitating and updating them. Our system makes it possible for voters to vote their favorable candidates from home through safe and stable online voting. By integrating India's Aadhaar card system and implementing OTPs (One Time Passwords) for better security, ensure a resilient and trustworthy voting process with full integrity. Once they login, voters are led through a strict authentication rules that checks for the genuineness of their ID cards before allowing them to continue. This comprehensive verification mechanism provides that only individuals who meet the requirements are able to participate thereby considerably decreasing the chance for electoral fraud. In addition to that, we also ensure that the system gives space to vote in secret and the votes are protected using strong cryptography measures. Our platform aims at fulfilling this object by leveraging advanced technologies. In this regard, we work towards a better and more egalitarian and democratic electoral system.

Parametrization of generalized triangle groups and construction of substitution-box for medical image encryption

The construction of strong encryption techniques is crucial to meet the increasing demand for secure transmission as well as storage of medical images. A substitution box (S-Box) is an important component of block ciphers and nonlinearity is an important attribute to consider while designing secure S-boxes. As a result, it is required to create new approaches for producing S-boxes with high non-linearity scores. We present a method of parametrization of the generalized triangle group 〈x,y|x2=y5=wk=1〉 as linear groups, where w=xyxy2xy4 which is extended by the parametrization for triangle group 〈x,y,t|x2=y5=t2=(xt)2=(yt)2=(xy)k=1〉. This parametrization is then used for the construction of a highly nonlinear and secure substitution box designed for 28 elements, tailored specifically for the finite generalized triangle group case with k=2 for θ=64 which is parameter for all homomorphism from H5 to PSL(2,q), possessing an order of 1200. We rigorously evaluate and analyze various common security indicators associated with the proposed substitution box. The proposed S-box is evaluated for picture encryption using various statistical approaches. Comparative analysis and additional scrutiny reveal promising attributes, affirming its suitability, efficacy, and potential applicability in the domain of medical image encryption. Our S-box achieves the necessary conditions for secure communication as well as image encryption, as confirmed by positive examination results.

Prioritizing cybersecurity initiatives in aviation: A dematel-QSFS methodology

The aviation industry's growing dependence on digital technologies necessitates robust cybersecurity measures to counter advanced threats. This study integrates the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method with Quantum Spherical Fuzzy Sets (QSFS) to enable precise and reliable decision-making under uncertainty. Key criteria, identified through expert evaluations, include Threat Detection Systems (TDS), Data Encryption Protocols (DEP), Regulatory Compliance (RC), Incident Response Plans (IRP), User Training (UT), Access Control Mechanisms (ACM), and Network Security Solutions (NSS). Analysis using the proposed method revealed that “Regulatory Compliance” and “Threat Detection Systems” are the most influential factors, emphasizing the need for strict adherence to standards and advanced threat detection capabilities. Additionally, the significance of “User Training” and “Data Encryption Protocols” underscores the importance of comprehensive training programs and strong encryption measures. By incorporating strategic management theories such as the Resource-Based View (RBV), Contingency Theory, and Risk Management Theory, this study presents a strategic framework to assist aviation organizations, policymakers, and researchers in developing effective cybersecurity strategies, ensuring the safety and security of global air travel.

Prospects for Legal Regulation of Quantum Communication

The leading countries across the world have entered the race to develop quantum technologies that will enable them to ensure their continued economic prosperity. Among these technologies, a special place is occupied by quantum communication, which is designed to ensure information security in an era where a quantum computer is capable of compromising a number of cryptography algorithms. In this article, this new digital technology includes quantum key distribution and encryption methods that are cryptographically resistant to a quantum computer. The study does not consider the regulation of the quantum communication sub-technology, the so-called “quantum internet,” due to the technical limitations of the existing equipment. The authors note that their predictions about the cryptographic strength of encryption algorithms are based solely on modern knowledge about the capabilities of quantum computing and do not take into account its hidden potential, for example, in terms of cryptanalysis information systems based on a machine learning model generated by a quantum computer. Currently, the only data protection system that is not subject to quantum threats is the technology of quantum key distribution. In today’s information and digital age, information security systems are an important element of critical infrastructure. Given the importance of these technologies, different states use different methods to regulate this field. This article puts forward and substantiates the hypothesis that the implementation of a combination of regulatory legal acts could have a greater positive impact on the development of quantum communication and ensure an acceptable level of information security in the post-quantum era. The analysis showed that a significant number of states and interstate associations are conducting research in this area, relying only on investment growth. This strategy has prevented any country from achieving the competencies of the People’s Republic of China. The authors also analyzed the methods of legal support used by China, Russia, and other countries in the field of quantum communication, which made it possible to identify a model of legal regulation of quantum communication that stimulates this technology’s development.

Smart Tender Management System Using Blockchain in Python

-Blockchain technology has been adopted by a number of industries, including government agencies, financial services, healthcare, and agriculture, to improve their operations in the quickly changing modern world. But the industry for tenders hasn't yet completely realized all of its advantages. Due to problems including bias, bad record- keeping, lack of transparency, vulnerability to hackers, and data tampering, inadequate tender management procedures can cause large losses. We suggest using blockchain technology to ensure improved security and effectiveness in tender management as a solution to these problems. We can create a secure transaction management system that protects important documents and transactions related to the tendering process by utilizing encryption and the immutable nature of blockchain. By safely storing bid proposals, firm profiles, historical data, tender documents, and other information, this system fosters transparency and integrity. The Admin and Company modules are the two main components of the Smart Tender Management System. Administrators can oversee applications, handle tenders, and keep an eye on transaction logs with the help of the admin module. Companies can register, submit proposals, and monitor the status of their applications using the Company module. The solution improves security, lowers expenses, and simplifies tender processing by doing away with intermediaries and utilizing strong encryption techniques. This fosters an easy- to-use and effective experience for all parties involved KeyWords: Block chain Technology, Encryption, Smart Contracts, Tender Management.

Reinforcing RC5: Dynamic S-Box Generation and Magic Square-Based Key Expansion

The ever-increasing and ever-demanding growth of the field of cryptanalysis imposesa continuous requirement foralgorithm modifications. This paperintroduces modifications in widely-used RC5 block cipher to cater to the increasing security demands, i.e. dynamic S-box generation and magic square-based key expansion. The main purpose is to improve the complexity and linearity of the algorithm as a result making it resistantto newly-devised attacks. A small (3 × 3) magic square is taken for generating dynamic S-boxes and constants to add unpredictable randomness during the key expansion phase. SHA-256 hash function is used for S-boxes generation meanwhile properties of magic square are exploited for constants derivation purpose. Proposed changes resulted in improved security against differential, linear,and algebraic attacks respectively meanwhile efficiency is still sustained so that this modified version can be well-suited for recentapplications that necessitate strong encryption services.

Arabic Text Steganography: Literature Survey

The use of strong encryption and hiding techniques is essential for secure digital communication. The aim of this article is to give a thorough study of advanced steganography methods designed especially for embedding information in Arabic text, which may be sensitive in nature and needs to be transmitted securely. This review is focusedon four main criteria; embedding rate, invisibility, robustness against detection, and text quality. We conducted a comprehensive survey of text steganography and examined its distinct characteristics, including the nature of the script, accents, and linguistic rules. Several researchers have utilized these distinct characteristics of Arabic writing for developing a number of techniques for embedding information. This article gives a detailed analysis of the strengths, weaknesses, possible applications, and major challenges. The conclusions of this review can help researchers and practitioners to select an ideal method according to their own needs regarding storage capacity, security, and text quality. Moreover, the article underscores the need for giving priority to Arabic text steganography which has become highly important as the use of hidden communication increases in Arabic-speaking communities, while also preserving the cultural and linguistic integrity

COBLAH: A chaotic OBL initialized hybrid algebraic-heuristic algorithm for optimal S-box construction

The Substitution box (S-box) is the main nonlinear component responsible for the cryptographic strength of any Substitution-Permutation Network (SPN) based block cipher. Generating the S-box with optimal cryptographic properties is one of cryptography's most challenging combinatorial problems because of its enormous search space, lack of guidance, and conflicting performance criteria. This paper introduces a novel Chaotic Opposition-based Learning Initialized Hybrid Algebraic-Heuristic (COBLAH) algorithm, combining the favorable traits of Algebraic and heuristics methods based on Galois field inversion, affine mapping, and Genetic Algorithm (GA). The Galois field inversion and affine mapping are used to construct the S-box, while the GA guides the algebraic construction to find the best bit-matrix and additive vector based on any irreducible polynomial for GF(28). GA initializes with a random population generated using a newly constructed cosine-cubic map incorporated with binarization and Opposition-based Learning (OBL). Further, Multi-Objective Optimization Ratio Analysis (MOORA) is utilized to identify the best S-box from the final optimized population. The performance of the proposed algorithm is evaluated by comparing the generated COBLAH S-box with more than twenty state-of-the-art S-boxes, including Advanced Encryption Standard (AES), Skipjack, Gray, and Affine Power Affine (APA). The COBLAH S-box has nonlinearity 112, Strict Avalanche Criterion (SAC) offset 0.0202, Distance to SAC (DSAC) 332, Differential Approximation Probability (DP) 0.0625, Linear Approximation Probability (LP) 0.0156, Bit Independence Criterion-Strict Avalanche Criterion (BIC-SAC) 0.50006, and Bit Independence Criterion-Nonlinearity (BIC-NL) 112, which stands as the optimal observed thus far. The absence of fixed and opposite fixed points and the fact that it adheres to a single cycle aligns the COBLAH S-box with an ideal S-box. In addition, an image encryption mechanism is utilized to encrypt and decrypt the different images sourced from the standard USC-SIPI image dataset using COBLAH S-box and compared against different state-of-the-art S-boxes based on various image characteristics.

FOR PSEUDORANDOM SEQUENCES BASED ON ELLIPTIC CURVE ISOGENIES GENERATING METHOD

The pseudorandom sequences generation is a cryptographic systems fundamental aspect that affects cryptographic strength. One of these sequences advanced generating methods involves the use of elliptic curves (ECs), in particular by exploiting the isogeny properties of ECs. This approach not only improves the security features of cryptographic algorithms, but also ensures efficiency and reliability in the generation process. The use of isogenic transformations - morphisms between elliptic curves that preserve their group structure - further enriches the technique by introducing complex algebraic operations that are difficult to solve. Recent research has detailed the effectiveness of pseudorandom sequence generators based on elliptic curves. Methods have been developed that exploit the properties of elliptic curves over finite fields to generate sequences with low correlation and high linear complexity. There is also another approach that uses linear shift feedback registers (LFSRs) in combination with elliptic curve points to generate pseudorandom sequences. The new obtained method makes it possible to increase the number of internal states of the Dual_EC_DRBG generator by √n times, where n is the number of cyclic subgroups of simple order of the initial curve. This increases the complexity of disclosing the law of formation of the DRBG by an attacker. The application of the developed method also allows to avoid the existing disadvantages of Dual_EC_DRBG The article investigates the use of EC isogenies in the generation of pseudorandom sequences, considering their potential for improving cryptographic strength. By means of a detailed analysis of the algebraic structure and properties of these transformations, a method for PSPs generating is developed that can potentially provide advantages over existing methods in terms of security and efficiency in the transition period to post-quantum cryptography.

Attacking Connection Tracking Frameworks as used by Virtual Private Networks

VPNs (Virtual Private Networks) have become an essential privacy-enhancing technology, particularly for at-risk users like dissidents, journalists, NGOs, and others vulnerable to targeted threats. While previous research investigating VPN security has focused on cryptographic strength or traffic leakages, there remains a gap in understanding how lower-level primitives fundamental to VPN operations, like connection tracking, might undermine the security and privacy that VPNs are intended to provide. In this paper, we examine the connection tracking frameworks used in common operating systems, identifying a novel exploit primitive that we refer to as the port shadow. We use the port shadow to build four attacks against VPNs that allow an attacker to intercept and redirect encrypted traffic, de-anonymize a VPN peer, or even portscan a VPN peer behind the VPN server. We build a formal model of modern connection tracking frameworks and identify that the root cause of the port shadow lies in five shared, limited resources. Through bounded model checking, we propose and verify six mitigations in terms of enforcing process isolation. We hope our work leads to more attention on the security aspects of lower-level systems and the implications of integrating them into security-critical applications.

Improvement the International Data Encryption Algorithm(IDEA)based on Chaos Theory

Background: The (IDEA), which represents International Data Encryption Algorithm is a widely used cipher algorithm that has raised concerns due to the discovery of numerous weak keys, as highlighted in previous research. These weak keys, specifically those containing consecutive sequences of single digits, have been found to impede the algorithm's evolution and result in a sluggish avalanche effect. To address these vulnerabilities, this research aims to develop an enhanced and secure encryption algorithm by incorporating Chaos Theory principles into IDEA. Materials and methods: The primary objective is to address the weaknesses associated with IDEA's key generation process by leveraging Chaos Theory to generate strong, highly random keys that replace the algorithm's weak keys t. The study also aims to assess the security and cryptographic strength of the enhanced IDEA algorithm through evaluations and comparisons with the original algorithm. Results: The results showed that the proposed key passed 11 tests out of the 15 total tests, while the Traditional key of IDEA passed only 7. This indicates that the proposed method is superior by 4 tests over the Traditional method of generating keys. Also, cipher text 1 with the proposed key passed 10 tests out of the 15 total tests, while with the Traditional key passed only 8 . Conclusion: This indicates the superiority of the proposed method of IDEA in encryption over the traditional method of IDEA.

Advanced color image encryption using third-order differential equations and three-dimensional logistic map

Image encryption stands out as a crucial technique employed to securely transmit images across the Internet. In this paper, we introduce a novel algorithm for encrypting color images. The algorithm is built upon the principles of differential equations, XOR operations, and chaotic maps. First, the plain image is three-dimensional pixel shuffled via a logistic map. Afterward, the differential equations are used as a mathematical tool for encrypting images. The third-order ordinary differential equations are used to encrypt the shuffled images. The color values of the plain image are considered coefficients for the independent variable X. Subsequently, an alternate matrix of the same size is generated using a three-dimensional logistic map, taking into account its color values as the exponents linked to the independent variable X. A set of third-order differential equations emerged, containing an equivalent number of elements as the color values present in the plain image. This set of differential equations is addressed in the following manner: combining XOR and integration three times with respect to the independent variable X for each set of obtained differential equations while treating the integration constant as zero. Ultimately, a set of ordinary equations involving the independent variable X is derived, where the coefficients of X represent color values for the cipher image. The results from experiments and the security analysis affirm the resilience of the proposed algorithm against established security attacks. It exhibits a substantial key space, heightened key sensitivity, and a strong encryption effect.

STATISTICAL PROPERTIES OF THE PSEUDORANDOM SEQUENCE GENERATION ALGORITHM

One of the most important issues in the design of cryptographic algorithms is studying their cryptographic strength. Among the factors determining the reliability of cryptographic algorithms, a good pseudorandom sequence generator, which is used for key generation, holds particular significance. The main goal of this work is to verify the normal distribution of pseudorandom sequences obtained using the generation algorithm and demonstrate that there is no mutual statistical correlation between the values of the resulting sequence. If these requirements are met, we will consider such a generator reliable. This article describes the pseudorandom sequence generation algorithm and outlines the steps for each operation involved in this algorithm. To verify the properties of the pseudorandom sequence generated by the proposed algorithm, it was programmatically implemented in the Microsoft Visual C++ integrated development environment. To assess the statistical security of the pseudorandom sequence generation algorithm, 1000 files with a block length of 10000 bits and an initial data length of 256 bits were selected. Statistical analysis was conducted using tests by D. Knuth and NIST. As shown in the works of researchers, the pseudorandom sequence generation algorithm, verified by these tests, can be considered among the reliable algorithms. The results of each graphical test by D. Knuth are presented separately. The graphical tests were evaluated using values obtained from each test, while the chi-squared criterion with degrees of freedom was used to analyze the evaluation tests. The success or failure of the test was determined using a program developed by the Information Security Laboratory. Analysis of the data from the D. Knuth tests showed good results. In the NIST tests, the P-value for the selected sequence was calculated, and corresponding evaluations were made. The output data obtained from the NIST tests also showed very good results. The proposed pseudorandom sequence generation algorithm allows generating and selecting a high-quality pseudorandom sequence of a specified length for use in the field of information security.

Encryption of messages by the sum of a real variable functions.

The article proposes a cryptosystem with symmetric keys, where the keys are functions of a real variable. These functions can be either continuous or discrete and must satisfy certain constraints. The number of key functions is determined by the number of binary digits that encode a character in the ASCII table. Each binary digit has its own key function. The cipher of a character is represented by a one-dimensional array of real numbers. These numbers are obtained by summing the key functions, which correspond to “1” in the ASCII code of the character. The amplitudes of these functions are random and unknown to the receiving party. Decryption is a multi-level process, in which integral disproportion functions are calculated at each level. To increase the cryptographic strength, the encryption/decryption process involves a permutation of the key-functions according to a secret scheme agreed upon by both parties. Computer simulation has demonstrated the high cryptographic resistance of the proposed system to the determination of the coefficients within the key functions, as well as to the rearrangement of the key functions themselves. It is shown that adjacent identical symbols in an encrypted message have different ciphers, which also complicates hacking the system.

Audio encryption framework based on chaotic map and DNA encoding

In this work, an audio encryption framework is proposed based on the chaos theory and DNA encoding. Traditional encryption algorithms designed for text data might not be efficient for handling the bulk data of audio files, leading to slow processing times and increased storage requirements. Striking the right balance between robust encryption and efficient processing is crucial. Additionally, some encryption methods can introduce noise or artifacts into the audio signal, impacting its clarity. Maintaining high-fidelity audio quality while ensuring strong encryption remains an ongoing area of research. Despite these challenges, the need for secure audio communication is undeniable. The RCM chaotic map is used to introduce chaotic properties in the encryption framework. A novel pseudorandom bit generator approach is proposed and used for encryption purposes. The proposed work is a symmetric encryption approach and is completely lossless. The proposed approach uses some lightweight computational procedures that make the algorithm simple and computationally less expensive which makes it suitable for real-time applications. Furthermore, the proposed approach shows significant performance and resilience against various cryptographic attacks. A new scrambling algorithm is proposed to add a layer of security. The proposed scramble algorithm uses logistic map beside the RCM map. The proposed approach achieved 98.28 % NSCR value and 33.63 % UACI values on average. The experimental outcomes are encouraging for practical applications of the proposed approach.

Enhancing healthcare in the digital era: A secure e-health system for heart disease prediction and cloud security

In the modern world, due to changing lifestyles, more people are infected by deadly diseases, especially heart disorders. An early prognosis is the only possible way of increasing survival rate. One of the key elements of this context is the healthcare digitalization that is carried out through Internet of Things (IoTs) and cloud computing. However, main issue in cloud with IoT is false diagnosis, which leads to cause a major impact on patient’s life. Moreover, data communication through cloud servers can be compromised by attackers due to security issues. Therefore, to overcome these issues, this paper proposes a novel secure e-healthcare system with dual objectives- accurate disease prediction and improved cloud security. A novel diagnosis approach ‘Hybrid Binary Particle Firefly Optimized Extreme Learning Machine classifier (HybBPF-ELM)’ to predict HD is designed, that recognize the subject with HD abnormality from the normal ones. The prediction accuracy and time efficiency of training process are improved by the adoption of a Hybrid Binary Particle Firefly Optimizer (HBPFO) through fine-tuning weight and bias of Extreme Learning Machine (ELM) classifier. Additionally, a new intelligent encryption and decryption framework ‘IEDF’ is introduced for cloud security. It combines four encryption algorithms, including Advanced Encryption Standard (AES), Data Encryption Standard (DES), Rivest- Shamir-Adleman (RSA), and Modified Blow Fish (MBF) to enhance cryptographic strength and key security. Along with this, an Automatic Sequence Encryption (ASC) for data block encryption is employed to ensure strong security and network performance. The integration of HD prediction module and cloud security framework within e-healthcare system assists healthcare experts in securely storing and transferring data for advanced diagnosis. The results show that our proposed system achieves an overall prediction accuracy of 99.36 % and less processing time for encryption and decryption of 127.55 s and 452.01 s at 2.2 GB file size respectively.