A Review of Encryption Algorithms for Enhancing Data Security in Cloud Computing

Abstract: Encryption is essential in preventing unauthorized access to sensitive data in light of the growing concerns about data security in cloud computing. Homomorphic encryption promises to enable secure calculations on encrypted data without the need for decryption, particularly for cloud-based operations. To evaluate the effectiveness and applicability of several homomorphic encryption algorithms for safe cloud computing, we compare and contrast them in this research paper. Partially homomorphic encryption (PHE), somewhat homomorphic encryption (SHE), and fully homomorphic encryption (FHE) are the three basic homomorphic encryption subtypes that we examine. The implications of this study can aid cloud service providers and organizations in selecting the most appropriate homomorphic encryption scheme based on their specific security requirements and performance considerations. The research contributes to the ongoing efforts to enhance data privacy in cloud computing environments, opening new possibilities for secure data processing in an increasingly connected digital world. The exploration of homomorphic encryption schemes in this study opens new avenues for research and development in the field of cryptographic techniques. As technology continues to evolve, so too must our approaches to safeguarding data. This research serves as a catalyst for further innovations in homomorphic encryption algorithms, enabling even more efficient and robust methods for secure data processing in cloud environments and beyond. The insights derived from this research paper not only empower cloud service providers and organizations to make informed decisions about selecting the most appropriate homomorphic encryption scheme but also contribute to the broader mission of fortifying data privacy and security in cloud computing.

All the organization wants to implement the same security parameters as they are already using with their internal data/resources. It is mandatory to understand and find the data protection challenges before outsourcing the data security in cloud computing. In present research we are discussing about the impact of security in cloud computing including all the challenges associated with it.

Cloud computing is the present technology which is gaining greater attentions. Nowadays, among all the technologies that includes the network security, data protections, virtualization security, application integrity and identity management, the cloud is the most essential and key aspect. Among all the above mentioned issues, data protection is one of the most important security element because organizations cannot transfer their data to the remote machines as there is no guarantee of data protection by the cloud service providers. Many techniques are already available to protect the data in cloud. Though there are many number of techniques implemented to have focus on security of data but still some challenges persist. Cloud computing solves not only the computing problems but also caters loads of data with software updates etc. The user will be confident in utilising the cloud sources only if there is an appropriate collaboration between cloud client and cloud service provider. The most popular security techniques include SSL (Secure Socket Layer) Encryption, Algorithms like AES, Blowfish, DES, RSA, Cloud Computing, and Data Security. This paper mainly focus on how to analyse and evaluate the most important security encryption algorithms for data protection in cloud computing. Furthermore, this paper also discusses about some of the new security techniques for data protection which will be recommended in order to have improved security in cloud computing. Keywords: Cloud, Data Protection, Security, Asymmetric Algorithms, Symmetric Algorithm.

<p>Cloud computing has spread widely among different organizations due to its advantages, such as cost reduction, resource pooling, broad network access, and ease of administration. It increases the abilities of physical resources by optimizing shared use. Clients’ valuable items (data and applications) are moved outside of regulatory supervision in a shared environment where many clients are grouped together. However, this process poses security concerns, such as sensitive information theft and personally identifiable data leakage. Many researchers have contributed to reducing the problem of data security in cloud computing by developing a variety of technologies to secure cloud data, including encryption. In this study, a set of encryption algorithms (advance encryption standard (AES), data encryption standard (DES), Blowfish, Rivest-Shamir-Adleman (RSA) encryption, and international data encryption algorithm (IDEA) was compared in terms of security, data encipherment capacity, memory usage, and encipherment time to determine the optimal algorithm for securing cloud information from hackers. Results show that RSA and IDEA are less secure than AES, Blowfish, and DES). The AES algorithm encrypts a huge amount of data, takes the least encipherment time, and is faster than other algorithms, and the Blowfish algorithm requires the least amount of memory space.</p>

Most cloud users and officialdoms have a great interest in adoption and use cloud services like cloud storage to store their data on cloud environment. With the speedy growing in cloud computing technology, user's data security and privacy in cloud computing technology is the utmost dangerous issues because data owner stores their sensitive data onto remote cloud storage. However, successful retrieval of confidential data and computation on confidential data is hard to succeed by traditional cryptographic algorithm. Hence, to warrant the cloud security we are using the cryptographic algorithms that supports for computation over encrypted data. In this, Homomorphic cryptographic algorithm is one such technique that has interested homomorphic cryptographic algorithm used to secure user data in cloud server. It performs computation on cipher texts data can be operated directly without affecting the confidentiality of the encryption algorithms. We have established a framework for security of data on a cloud storage by using fully homomorphic cryptographic algorithm. Indeed, In this study, we have evaluated complexity of three homomorphic cryptographic algorithm those are SDC FHE, Paillier and RSA with encryption time, decryption time, throughput and memory usage

Cloud computing is one of the result of rapid growth of computing technology which has now affect the very way by which organizations and individuals uses IT resources such as application, storage, etc. by providing shared virtual versions of such resources which comes with the benefit of reducing the cost of hardware and software installation, but the concerns of organizations lies within the security and privacy of their data at rest on the cloud storage, among such concerns are the unauthorized usage by possible malicious insider within the cloud provider organisation and other cloud users. Despite the fact that service providers used many mechanisms to protect unauthorized access to data stored in their cloud storage, but there is no any mechanism to protect unauthorized access to the client’s data by the cloud service administrator. In this work we show how a steganography which is a technique of concealing the existence of a data inside a cover medium can be used to improve the security of data in the cloud by using additional layer of security that is user centric. However, the application of the proposed technique is implemented using a particular case study.

In the distributed systems security of data is a vital functionality, sharing of information in cloud storage is a provident technique. Nowadays, the main challenges is data security in cloud computing. To overcome this problem we proposed a novel Dynamic Privacy Aggregate Key Re-Encryption (DPAK-RE) algorithm. The DPAK-RE algorithm provides security to sharing the information in the cloud. We describe a secure data sharing with other users in cloud storage. Data corner is authorized to the admittance approach related with individual information that is to be stored within jurisdiction. The authenticate users can aggregate several groups of top-secret keys and makes them as enfold together a solitary key and potential of entire keys being aggregated. This aggregate key is Re-encrypted and generates the personal key as a constant key size. This Personal key provides more secure of the privacy information for data sharing in cloud storage. The execution investigation and the security confirmation demonstrate that the proposed scheme can accomplish more effective and secure information sharing in a cloud environment.

Ponte Academic JournalJun 2017, Volume 73, Issue 6 SOA-BASED PROCEDURE WITH DYNAMIC SECURITY FOR ADAPTIVE CLOUD COMPUTING FRAMEWORKAuthor(s): Vasu Yadav Dokku ,V. Krishna ReddyJ. Ponte - Jun 2017 - Volume 73 - Issue 6 doi: 10.21506/j.ponte.2017.6.9 Abstract:Cloud computing is defined as a ondemand delivery of resources and applications whenever user wants and pay according to its usage. In the cloud data outsourcing and providing real-time data privacy are said to be important concepts to share the data to registered users only. Different cloud approaches was introduced to provide privacy for outsourced data, based on their limitations and advantages, a cloud computing adoption framework (CCAF) was introduced to provide dynamic and customized data privacy in the cloud. In this framework, they used business process modeling notation (BPMN) for data usage and data sharing and outsourcing data in distributed cloud computing. To identify general users and intruders using convergent encryption technique it is possible to provide data security in cloud computing. To provide third party service to outsourced business modeling then CCAF framework will fail to provide dynamic authentication in distributed computing. So in this paper, we propose and implement Novel Cross-Realm Privacy (NCRP) approach for collaborating Service-Oriented Architecture to various security states in outsourced data to provide multiparty business services for dynamic authentication. We improve the CCAF framework, by means of changing the process when outsourcing the data. Our experimental results give the implementation of proposed approach with dynamic authentication and describe the improved performance evaluation with the scalability of outsourced data in cloud computing framework. Download full text:Check if you have access through your login credentials or your institution Username Password

Cloud computing is the new bending curve in the line of Information Technology and computing paradigm. Cloud computing has simultaneously revolutionized business and government sectors by stretching its arms in every possible field, from not only to Information communication technology to medical advancements to a more diverse agriculture field which was untouched by technology for a decade. Cloud computing enlightens path for another dimension of computing which is expected to rise even more than mobile computing, i.e., Internet of Things (IOT) or internet of everything. As new dimensions are being added up to the cloud domain every day this gives a window to hackers and intruders to breach the doors. The security problem is amplified under cloud computing as it introduces new problem domains. One of the major problem domain identified is data security, where security of user’s data is the utmost priority. Providing privacy to the user and the data stored by the user is to be ensured by the cloud service provider. This paper aims at the security model for cloud computing which ensures the data security and integrity of user’s data stored in the cloud using cryptography.

Generally, enterprises store data in internal storage and establish firewalls to protect against intruders attempting to access the data. In cloud computing, data is stored in storage provided by service providers. Information privacy protection involves storing data in encrypted form. The cloud system is responsible for both storage and the encryption or decryption of data, allowing system administrators to access encrypted data and decryption keys. This capability poses a risk to information privacy as it enables unauthorized access to information. This survey discusses Data Storage in Cloud Computing, focusing on the concept of storing encryption and decryption services alongside the storage service. Additionally, the survey examines storage system architecture, security challenges, services, and user application systems to provide a comparison of various cloud models. In addition to the fundamental aspects of data storage and encryption, this survey delves into the evolving landscape of cloud computing, addressing the dynamic nature of storage system architectures. Enterprises increasingly rely on cloud service providers for scalable and flexible storage solutions, prompting a critical examination of the security challenges associated with this paradigm shift. The survey examines how storage services in different cloud models affect user applications and privacy. It stresses the importance of understanding cloud providers' services amidst evolving technology and growing threats. The study delves into trends like edge computing and distributed storage, evaluating their impact on cloud storage security. Overall, it aims to provide a comprehensive overview for enterprises and researchers to make informed decisions on data security in Cloud Computing.

Cloud computing is defined as the management and provision of resources, software, applications, and information as services over the internet. Numerous organizations are adopting cloud services because of the economy and technology changes. Over the past year, cloud computing has made life easier for other people or organizations by allowing people to have access to information from anywhere in the world through the internet. However, cloud computing introduces a series of security concerns, which data security is a major concern. Data security is basically linked with any security in the cloud. If the network or infrastructure security is compromised, the possibility there is a possibility of data being affected. Data security has three important principles that are Confidentiality, Integrity, and Availability (CIA) that needs to always be maintained. Understanding the security concerns in cloud computing is an important requirement for those who are planning to move to the cloud solution. Thus, this paper aims to investigate and develop a hybrid data security framework to mitigate data security challenges in the cloud, focusing on legal frameworks such as POPIA and GDPR. A survey was conducted to investigate which techniques are more effective in protecting data and the evaluation ensured that CIA triads are covered. The limitation on the existing techniques is that they address only one principle or two, but not all three at the same time. The best technique among the others will be used integrated when designing the proposed framework in order to address CIA. Having more than one security technique to address data security will improve the security in the cloud and will also bring more business to cloud service providers when customers see the security in data enhanced.

<span lang="EN-US">Cloud Computing is the ability to improve the utility or train new human resources without investing in new infrastructure, or add capabilities to existence without the latest software licensing. It expanded the capabilities of Information Technology (IT). From the past few years, cloud computing has developed from a good business concept in the best rising sectors of the IT industry. But more information on individuals and companies was put in the cloud, and concerns began to think about how secure the cloud environment was. Despite cloud surrounding structures, enterprise users still do not want to expand their business in the cloud. Security reduces the growth of cloud computing and continues to spread the market with complexity with data privacy and data protection. The security of cloud computing has constantly been an significant aspect of improved quality of service from cloud service providers. Data storage in the cloud has a problem related to data security. However, cloud computing construct many new security challenges which have not been well examine. In order to ensure that the user's data in the cloud is secure, we have proposed an effective mechanism with a distinctive feature of data integrity and privacy. This paper focusing on problems relating to the cloud data storage techniques and security in virtual environment. We recommend a method for providing data storage and security in cloud using public key Cryptosystem, which uses the concept of the modified RSA algorithm to provide better security for the data stored in the cloud. </span>

Ensuring data correctness and data completeness in cloud computing, in addition to security technologies, many other factors need also be considered, such as the behaviors of participants of cloud computing. This paper discusses the data correctness and completeness in cloud computing based on the perspective of game theory. It built a complete information static game theory frame between a trusted data center and an un-trusted database service provider, and gave the mixed strategy Nash equilibrium. It also proposed some countermeasures and suggestions to improve the data security in cloud computing.

Ciphertext-policy attribute-based encryption (CP-ABE) is becoming a promising solution to guarantee data security in cloud computing. In this paper, we present an attribute-based secure data sharing scheme with Efficient revocation (EABDS) in cloud computing. Our scheme first encrypts data with Data encryption key (DEK) using symmetric encryption and then encrypts DEK based on CP-ABE, which guarantees the data confidentiality and achieves fine-grained access control. In order to solve the key escrow problem in current attribute based data sharing schemes, our scheme adopts additively homomorphic encryption to generate attribute secret keys of users by attribute authority in cooperation with key server, which prevents attribute authority from accessing the data by generating attribute secret keys alone. Our scheme presents an immediate attribute revocation method that achieves both forward and backward security. The computation overhead of user is also reduced by delegating most of the decryption operations to the key server. The security and performance analysis results show that our scheme is more secure and efficient.

WITHDRAWN: Efficient Secure Aware Scheduling Model for Enhancing Security and Workflow Model in Cloud Computing