Cloud Computing Security Research Articles

Data Security in Cloud Computing

In recent years, cloud computing was and still is one of the most pragmatic and popular topics of research because of its advantages. Cloud storage allows organizations to store information of service providers at remote sites. However, cloud computing has encountered challenges, notably security issues and scheduling problems, primarily stemming from concerns related to data confidentiality and efficient resource allocation among users. These challenges are inherent to cloud computing, where data and computational resources are shared among multiple users and often hosted on remote servers operated by third-party providers. Hence, our objective is to identify and analyze the challenges associated with cloud computing, with a particular focus on data security. in addition to conduct scientific review and compare multiple recent research studies. The focus will be on identify challenges and advantages of cloud computing and data security when going through various data security measures that are currently employed in cloud computing. eventually we will come up with valid recommendations based on the findings.

Fuzzy associated trust-based data security in cloud computing by mining user behaviour

Fuzzy associated trust-based data security in cloud computing by mining user behaviour

Fuzzy associated trust-based data security in cloud computing by mining user behaviour

Fuzzy associated trust-based data security in cloud computing by mining user behaviour

Security and Privacy Issues in Cloud, Fog and Edge Computing

Security and Privacy Issues in Cloud, Fog and Edge Computing

A Data-Intelligent Scheme Toward Smart Rescue and Micro-Services

A considerable portion of the world frequently experiences flooding during the monsoon season. As a result of this catastrophic event, hundreds of individuals have become homeless. In addition, rescuers are not usually effective enough to rescue the majority of victims. This is due to inadequate rescue operations infrastructure, a severe flaw in today’s technologically advanced society. This manuscript proposes a microservice-dependent secure rescue framework that uses geographic information system mapping with a K-Means clustering algorithm to identify flood-prone regions. Numerous microservices, such as fleet management, cloud computing, and data security, integrate and execute the framework in pre- and post-flood situations. Labeling data from the proposed framework generates a support vector machine-based classifier for predicting flood risk. Furthermore, a hybrid A* algorithm is developed to find an optimal route for the rescue operation. Based on the K-means clustering results, which reduced the variance by 89.2 percent overall, dividing the data into six clusters was the best option for this study. The smoothness of the suggested hybrid algorithm is also used to verify its superiority.

A Novel redundancy Technique to enhance the security of Cloud Computing

A Novel redundancy Technique to enhance the security of Cloud Computing

Cloud Computing Security Problems and Solution Methods

Cloud Computing Security Problems and Solution Methods

Adoption of Cloud Enabling Cyber-Security Model in Organizations

Objectives: To carry out a systematic review on Cloud Computing (CC) security problems in order to suggest a cyber-security model for a secure CC environment. Methods: ResearchGate, PLOS One, MDPI, Wiley, Springer, Scopus, IEEE Xplore, IOP Conf. Series, and TechScience Press are used as sources in this research. Cloud security, risks to CC, issues with the current models, and the proposed model are among the significant keywords included in this article. Analysis and evaluation of the cloud computing security models have been conducted on the basis of factors like the technology used, authorization, security level, malicious insiders, VPN, encryption, etc. Findings: After doing comprehensive study of the previous models, it was analyzed that the client service provider’s (CSP) are focusing on their own security but not of client’s security. One problem is that there is no real set of standards to measure cloud security. Encryption key should be known to client only. Also, clients are not aware of security policies of CSPs. Furthermore, to overcome some issues certification programs should be there for CSPs so that clients are able to judge the CSPs according to their needs. Lastly, periodical awareness programs should be conducted for both CSP and client employees. Novelty: In this research a security model is proposed in which it is tried to implement solutions to various threats like hacking, unauthorized access of data, data encryption and authentication. It has proposed to develop a Cyber Security Model (CSM) for improvement of security features of cloud when it is used by organizations. In this study features like Single Sign-On for users to get proper authorization; key supervision is used for encryption of data and VPN controller is implemented to guard data from hackers have been added. Keywords: Cloud Computing; CyberSecurity; Cloud Security Challenges; Data Protection; Security Model

Review Article: Cryptographic Algorithms for Enhancing Security in Cloud Computing.

Review Article: Cryptographic Algorithms for Enhancing Security in Cloud Computing.

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

In recent years, cloud computing can be one of the most pragmatic and popular topics of research because of its advantages. Cloud storage allows organizations to store information of service providers at remote sites.Cloud computing has faced some challenges such as security issues and scheduling problems due to confidentiality and good mapping among the users and available resources. Hence, in this paper,Secure Aware Scheduling Model (SASM) is designed to enhance the security and manage the scheduling in cloud computing. The proposed model is working with two phase of operations such as security enhancement and best scheduling process. The first phase of proposed model is security enhancement which can beattained with the assistance of Split XOR (SXOR) function.The SXOR functioncan be utilized to enhance the security in cloud computing by encryption and decryption process. In the SXOR function, the optimal key selection can be attained with the assistance of Black Widow Optimization (BWO). The second phase of projected model can be Optimal Scheduling Process (OSP) which used to reduce waiting time and execution time of the users in cloud computing. The main objective of the projected model can be security enhancement as well as optimal scheduling in cloud computing.The projected model is developed using MATLAB and the performance is investigatedthroughthe performance metrices such as attack level, encryption time, decryption time, memory usage of decryption, memory usage on encryption,make span, success rate and average waiting timecorrespondingly. The projectedtechniquecan becontrasted with the conventional TechniquesSXOR-Mayfly Algorithm (SXOR-MA), SXOR-Particle Swarm Optimization (SXOR-PSO) and Elliptical Curve Cryptography-Emperor Penguin Optimization (ECC-EPO) respectively.

Performance Comparison of Xen AND Hyper-V in Cloud Computing While Using Cryptosystems

Abstract Cloud computing is internet-distributed computing model transferring processes from personal computers or servers to cloud servers. Nowadays, security and performance of cloud computing is considered challenging for both users and cloud service providers. Securing data on cloud computing servers will ensures privacy, confidentiality, integrity, and availability. Using cryptographic techniques is one of the major methods to ensure the data security while storing and transmission. Hypervisor in a cloud is a software that provides abstraction and called virtual machine monitor. Hyper-V and Xen are two different types of hypervisors. In this paper, eight different types of cryptographic algorithms are deployed by using the two hypervisors with instances, to measure the hypervisors performance while encryption and decryption. CPU utilization and response time are measured while encryption and decryption are having different data types and sizes. Results show that Xen is better than Hyper-V in most results on average at 15% and 6.1% for time duration and CPU utilization respectively. Keywords: Cloud Computing, Virtualization, Hypervisors, Xen, Hyper-V, Cryptographic Algorithm

Data Security in Cloud Computing: A Research Perspective

Security plays a very important role in the life of every living being. Today, in the ‘Technology’ engulfed businesses, data security is crucial for users and vendors alike. Cloud computing as a technology is the driving force behind all the financial transactions being completed every second across the globe. In the current context, Cloud data security is crucial and is of utmost importance. Data Security in the cloud refers to the technologies, policies, services, security controls that protect data in the cloud from loss, leakage or misuse through security breaches and unauthorized access. Securing data in the cloud is essential in e-commerce because attacks on the data can result in loss of revenue for businesses. Cyber criminals use advanced tools and techniques to steal information from the cloud servers for financial gain and other unscrupulous benefits. Securing data while it is at rest or in transit is most important for businesses. Efficient Data security tools and techniques must be applied to protect the data resident in the cloud. This paper closely examines the Issues and challenges of Data Security in Cloud Computing with reference to e-commerce. Keywords: Challenges, Cloud Computing, Data Security, E-Commerce, Public Cloud.

Risks & Solutions for Data Security in Cloud Computing

Risks & Solutions for Data Security in Cloud Computing

Users’ attitude on perceived security of mobile cloud computing: empirical evidence from SME users in China

PurposeThe purpose of this paper is to rank the users’ attitude on major components of mobile cloud computing (MCC) security and investigate the degree of impact of these components on MCC security as a whole.Design/methodology/approachHypotheses were evolved and tested by data collected through an online survey-questionnaire. The survey was administered to 363 users from Chinese organizations. Statistical analysis was carried out and structural equation model was built to validate the interactions.FindingsThe eight components of MCC security in the order of importance are as follows: mobile device related, user identity related, deployment model related, application-level security issues, data related, virtualization related, network related and service delivery related. The empirical analysis validates that these security issues are having significant impact on perceived security of MCC.Practical implicationsConstant vigilance on these eight issues and improving the level of user awareness on these issues enhance the overall security.Social implicationsThese issues can be used for designing and developing secured MCC system.Originality/valueWhile several previous research has studied various security factors in the MCC security domain, a consolidated understanding on the different components of MCC security is missing. This empirical research has identified and ranked the major components of MCC security. The degree of impact of each of these components on overall MCC security is identified. This provides a different perspective for managing MCC security by explaining what components are most important.

An Outline of the Problems and Potential Solutions for Cloud Computing Security

An Outline of the Problems and Potential Solutions for Cloud Computing Security

Applications of Blockchain Technology for Cloud Computing Security

Applications of Blockchain Technology for Cloud Computing Security

Cloud Computing Security for Multi-Cloud Service Providers: Controls and Techniques in our Modern Threat Landscape

Cloud Computing Security for Multi-Cloud Service Providers: Controls and Techniques in our Modern Threat Landscape

A Review on Security of Data in Cloud Computing Using Steganography Techniques

With the growth of information on the cloud, cloud security is seen as more essential than before. Currently, millions of users are utilizing the cloud. The security of cloud computing is exigently required, where data are being transmitted or transferred between the users and servers. Steganography is considered as the most effective techniques for securing the communication in the cloud. Steganography refers to writing hidden messages in a way that only the sender and receiver have the ability to safely know and transfer the hidden information in the means of communications. This paper review some of the recent steganography techniques that have been proposed to improve the security of data in the cloud and to make it more immune to cyber-attacks and eavesdropping.

Cloud Security Adoption Factors in Educational Institutions

In recent years, cloud computing technology has emerged as one of the technologies that are currently hot or often used both in the world of work, online shopping (E-Commerce), and the world of education. Before we use any technology, we must first understand the security system that exists in that technology, including the security system in Cloud Computing Technology. In the world of education today, many schools and universities have implemented Cloud Computing Technology in learning systems and database storage. Currently, Cloud Computing provides 3 different services such as Saas, PaaS, and IaaS which can be used by organizations as private, public, and, Hybrid. Security is the main concern so that there is no data theft in the world of Education. This journal was created using the Literature Study by searching from several selected journals that already exist as knowledge, in order to better understand the Cloud Computing security system.

Data Security Challenges and Solutions in Cloud Computing: Critical Review

This paper was prepare, based on the sensitivity of data security topics, and based on the controversy surrounding cloud-computing security. Therefore, this paper aimed to contribute by providing some tips and directions related to cloud security through critical review for a number of recent studies. Then, extracting the most important latest problems and solutions that related to data security in cloud computing; and presenting them all in one study to become a comprehensive reference. The study found that the most important problems are data leakage, data remoteness, privacy and data segregation. As for the most important solutions that this paper reached to meet these challenges, were using practical strategies like models and standards, and using different emerging and programming technologies such as encryption, digital signatures, hashing, and blockchain, smart contracts, IoTs sensors and devices, edge computing, and fog computing. The study recommended researchers to conduct more theoretical and practical research on the subject, and recommended the cloud services providers to adopt several practical strategies and emerging technologies for higher protection.