Cloud Computing Security Challenges Research Articles

Cloud Computing Security Issues, Challenges, and Solutions

Cloud computing has revolutionized the way agencies manage and deliver their IT offerings by means of imparting scalable, bendy, and fee-effective solutions. However, with these good sized blessings come complicated protection demanding situations. The allotted nature of cloud environments, coupled with multi-tenant infrastructures, offers new risks that require sturdy and adaptive security frameworks. This paper goals to provide an in-intensity exploration of the primary security problems in cloud computing, the underlying challenges companies face in securing cloud services, and the solutions designed to mitigate these dangers

Optimization and Security Challenges in Cloud Computing within Big Data Enviro

Optimization and Security Challenges in Cloud Computing within Big Data Enviro

Surveying Security Challenges in Cloud Computing: Current Landscape and Future Directions

Customers can access a shared computer resource pool on demand or on a pay-per-use basis using a cloud computing paradigm. Cloud computing has advantages for both users and cloud service providers (CSPs). Due to its benefits including cost effectiveness and versatility, it is one of the most alluring technological fields today. Given the lack of a central location, omniscience, and a preexisting trust connection, it allows the virtual organization to pool geographically dispersed resources to accomplish shared objectives. Despite the tremendous investment returns that cloud computing promises, customers are unsure about whether to use its services due to the security risks involved. This article is a survey that focuses more specifically on the various security vulnerabilities that have arisen because of how cloud computing systems deliver services. To deliver data secrecy, data integrity, and data availability, it makes several recommendations that should be implemented in further efforts.

Review Paper on Cloud Intrusion Detection System

The study proposes an enhanced cloud intrusion detection system (IDS) that tackles security challenges in cloud computing, focusing on data imbalance and feature selection. By integrating SMOTE for data imbalance and a hybrid feature selection method, the system achieves exceptional accuracies exceeding 98% and 99% on two datasets. The use of fewer informative features enhances system efficiency, showcasing its practical applicability and effectiveness in real-world scenarios. Overall, the study contributes significantly to cloud security by offering a holistic approach to IDS enhancement

Database Security Issues and Challenges in Cloud Computing

The majority of enterprises have recently enthusiastically embraced cloud computing, and at the same time, the database has moved to the cloud. This cloud database paradigm can lower data administration expenses and free up new business to concentrate on the product that is being delivered. Furthermore, issues with scalability, flexibility, performance, availability, and affordability can be resolved with cloud computing. Security, however, has been noted as posing a serious risk to cloud databases and has been essential in fostering public acceptance of cloud computing. Several security factors should be taken into account before implementing any cloud database management system. These features comprise, but are not restricted to, data privacy, data isolation, data availability, data integrity, confidentiality, and defense against insider threats. In this paper, we discuss the most recent research that took into account the security risks and problems associated with adopting cloud databases. In order to better comprehend these problems and how they affect cloud databases, we also provide a conceptual model. Additionally, we look into these problems to the extent that they are relevant and provide two instances of vendors and security features that were used for cloud-based databases. Finally, we provide an overview of the security risks associated with open cloud databases and suggest possible future paths.

Security challenges in cloud computing: A comprehensive analysis

The security issues surrounding cloud computing, a quickly developing technology that is now essential to both personal and business computing, are thoroughly examined in this study. Cloud computing presents serious security risks that require careful attention, despite its many advantages such as scalability, cost-effectiveness, and flexibility. In-depth discussions of a number of important security topics are covered in this paper, including network security, access control, data breaches, legal and regulatory framework compliance, and new threats and vulnerabilities. The paper illuminates the complexities of data and application security in the cloud environment by thoroughly examining these subjects. The study also looks at actual case studies to show how security breaches in cloud computing affect things and how to fix them. The study intends to offer insightful analyses of security challenges with practical implications by examining these cases and providing lessons learned from incidents that have happened in various cloud computing scenarios. Our comprehension of the complex nature of security threats and the tactics used to counter and mitigate them is improved by looking closely at these cases. This study looks into the potential benefits of cloud security enhancements from emerging technologies like artificial intelligence and machine learning, in addition to identifying existing challenges. The research investigates the potential benefits of these technologies in terms of automated security responses, adaptive access controls, and proactive threat detection. Cloud environments may be able to improve their security posture against new and sophisticated threats by utilizing the powers of AI and machine learning. Furthermore, by projecting future trends and challenges in cloud security, this paper offers a forward-looking view of the changing field. Comprehending these possible obstacles is crucial to creating proactive and flexible security approaches that can successfully tackle the ever-changing landscape of cloud computing. This paper's ultimate objective is to offer insightful information about practical approaches and industry best practices for safeguarding cloud environments. Organizations can navigate the complexity of the cloud landscape while protecting their data and applications from the ever-evolving threat landscape by striking a balance between the enormous potential of cloud computing and the necessity of maintaining strong security measures.

Cloud Computing Services and Security Challenges: A Review

An architecture of computing that provides services over the internet on the demand and desires of users that pay for the accessible resources that are shared is refer as the cloud computing. These resources are shared over the cloud and users do not have to acquire them physically. Some of the shared resources are: software, hardware, networks, services, applications and servers. Almost every industry from hospitals to education is moving towards the cloud for storage of data because of managing the effective cost and time of organizing the resources physically on their space. Storage of data over the data centers provided in the form of clouds is the key service of the cloud computing. Users store their desired data on clouds that are publicly available over the internet and away from their boundaries in cost effective manner. Therefore, techniques like encryption is used for obscuring the user’s information before uploading or storing to the shared cloud devices. The main aim of the techniques is to provide security to the data of users from unauthorized and malicious intrusions.

Supervised learning for Attack Detection in Cloud

In this study, we approach a supervised learning algorithm to detect attacks in cloud computing. We categorize “Normal” and “Attack” statuses on the dataset. The model evaluation process uses the kappa statistic, the F1-score, recall, accuracy, and precision. The system has a very high detection and efficiency rate, with a detection rate of over 99%. A total of 9594 cases and 44 distinct columns are included in the dataset. The study's results were displayed using a ROC curve and a confusion matrix. This study focuses on implementing a supervised learning algorithm for detecting attacks in cloud computing environments. The main objective is distinguishing between "Normal" and "Attack" statuses based on a carefully curated dataset. Several metrics, such as the kappa statistic, F1-score, recall, accuracy, and precision, are employed to evaluate the model's performance. The dataset utilized in this research comprises 9594 cases and encompasses 44 distinct columns, each representing specific features relevant to cloud computing security. Through a rigorous evaluation process, the algorithm demonstrates exceptional efficiency, achieving a remarkable detection rate of over 99%. Such high accuracy in identifying attacks is crucial for ensuring the integrity and security of cloud-based systems. The significance of this study lies in its successful application of a supervised learning approach to tackle cloud computing security challenges effectively. The model's high detection rate and efficiency indicate its potential for real-world deployment in cloud-based systems, contributing to enhanced threat detection and mitigation. These results hold promising implications for bolstering the security measures of cloud computing platforms and safeguarding sensitive data and services from potential attacks.

Cloud Security: Challenges and Future Scope

Now Cloud computing becomes so much popular coz satisfying business needs efficiently. Cloud features provide best lead to organizations to effectively access data and services with less cost over the internet. This also raise issues related with cloud security. This paper presents brief information regarding cloud computing security challenges. This information includes security mechanisms that should be consider for Cloud Service Models. This Work also focus on detail knowledge of security issues, threats which may use by attacker. It also explains cloud components levels threats and attack so more secure mechanism can identified for each component. This Paper introduced classification of Cloud security areas issues to develop secure Cloud Security services in future.

Cloud and internet-of-things secure integration along with security concerns

<span lang="EN-US">Cloud computing is a new technology which refers to an infrastructure where both software and hardware application are operate for the network with the help of internet. Cloud computing provide these services with the help of rule know as you pay as you go on. Internet of things (IoT) is a new technology which is growing rapidly in the field of telecommunications. The aim of IoT devices is to connect all things around us to the Internet and thus provide us with smarter cities, intelligent homes and generally more comfortable lives. The combation of cloud computing and IoT devices make rapid development of both technologies. In this paper, we present information about IoT and cloud computing with a focus on the security issues of both technologies. Concluding we present the contribution of cloud computing to the IoT technology. Thus, it shows how the cloud computing technology improves the function of the IoT. Finally present the security challenges of both technologies IoT and cloud computing.</span>

Security Challenges in Cloud Computing

Abstract: The most technological trend in the IT world is cloud computing, and because of its youth, both its users and its manufacturers have certain concerns. Looking over its literature, we can observe that the primary issues are trust, privacy, and security. That makes a significant barrier for users to use. Hence, to determine whether cloud computing would be accepted, we decided to assess various issues, including security. In this article, the security paradigm was the central issue, focusing on privacy safeguards and the need for trustworthiness to implement cloud computing. As a by-product, we have suggested radical innovations for enhancing security, reducing risks, improving trust, and protecting consumers, which are crucial for the adoption of cloud computing.

The Security Issues and challenges in Cloud Computing

A cloud computing model allows customers to use a pool of shared computer resources on-demand or pay-per-use basis. In terms of capital investment and operational cost reductions, cloud-based computing offers users and organizations many benefits. Despite these advantages, several challenges still limit the adoption of cloud computing. A crucial concern that is usually taken into account is security. Without this vital component, the computing model has a negative influence, which causes suffering on the human, ethical, and economic levels. This essay will look at the security issues that cloud entities must deal with. This group includes Cloud Service Provider, the Data Owner, and the Cloud User concentrating on the communication, computation, and service level agreements that make up the crypto-cloud. It will offer the required updates by evaluating the origins and consequences of different cyberattacks.

Major Cloud Computing Security Challenges with Innovative Approaches

Cloud computing is the most favored contemporary era as it has the cap potential to decrease its costs related to computing which improves its pliability and extensibility for further computer processes. Among the past some years, cloud computing has been well superior as a hopeful idea for business organization to one of the additives of the IT organization it really is fastest growing. There are important troubles like protection which the IT agencies take into difficulty that misplaced with the heavy insertion of cloud computing Technology. Though records may be saved in any vicinity. The important reality is Storage of records is saved best with inside the vicinity of the clients that's been the numerous varieties of worries created. In cloud computing region the maximum argued hassle is especially Security. This study mainly intends to analyze and address the major cloud computing security challenges with innovative approaches. To meet that aim, a range of scientific methods, including descriptive, analytical, observation and comparison are taken into account. Given the results, the major key to a success cloud computing projects is reaching stability among the commercial enterprise blessings and the hidden capacity dangers that can affect efficacy.

ESSENTIAL SECURITY DESIGN AND IMPLEMENTATION IN CLOUD COMPUTING

Cloud computing is a provision structure of online computer service on request and pay per use access to shared resources such as servers, storage, networks, applications, and resources virtual access. Cloud computing is entirely dependent on the internet technology in which client data is stored in data cloud provider center like Google, Amazon and Microsoft etc. This paper presents the computer history of cloud and service models, as well as the security issues and challenges of cloud computing, and discusses cloud computing privacy and explains current laws to protect data and guidelines around the world. Designing a secure virtual cloud path equipment and websites using open-source software (OpenStack) and explain the recommended tips that should always be followed by cloud protection according to the intended categories

A Review of Cybersecurity and Biometric Authentication in Cloud Network

Cloud computing uses few resources to give customers complete distant services via the internet. Data privacy, security, and reliability are major issues with cloud computing. Security is the biggest issue. This study discusses the biometrics framework and safe cloud computing identity management method. This paper discusses cloud computing security challenges and reviews cloud access framework approaches. It describes a novel fingerprint access-based authentication system to protect cloud services from DOS and DDoS attacks. This biometrics-based system can secure cloud services from illegal access. This study addresses cloud security and privacy via biometric face recognition. Cloud users' security and privacy are protected via biometrics recognition. This article discusses CPS and its applications, technologies, and standards. SIGNIFICANT DIFFICULTIES AND CHALLENGES ARE FOUND IN reviewing CPS security weaknesses, threats, and attacks. Presenting and analyzing current security measures and their key drawbacks. Finally, this extensive examination yields various recommendations.

Cloud Computing and Security Fundamentals

In today’s era almost all the organizations are preferring to use cloud as their primary storage. Once the organization uploads its data to cloud, then the organization has no control over it. Then comes the security challenges in handling data to cloud service providers. While selecting a Cloud Service Provider we need to be aware about that service provider before giving our data because as from now you will not have all the control. This paper gives a better understanding on the concept of cloud computing and the risks that came up after outsourcing data handling tasks. Section 1 is Introduction, Section 2 discusses on various Service Models in Cloud Computing, Section 3 contains Cloud Deployment Models, Section 4 focuses on Security Issues and Challenges in Cloud Computing.

An efficient and secure aggregation encryption scheme in edge computing

Edge computing is a highly virtualized paradigm that can services the Internet of Things(IoT) devices more efficiently. It is a non-trivial extension of cloud computing, which can not only meet the big data processing requirements of cloud computing, but also collect and analyze distributed data. However, it inherits many security and privacy challenges of cloud computing, such as: authentication and access control. To address these problem, we proposed a new efficient privacy-preserving aggregation scheme for edge computing. Our scheme consists of two steps. First, we divided the data of the end users with the Simulated Annealing Module Partition (SAMP) algorithm. And then, the end sensors and edge nodes performed respectively differential aggregation mechanism with the Differential Aggregation Encryption (DAE) algorithm which can make noise interference and encryption algorithm with trusted authority (TA). Experiment results show that the DAE can preserve user privacy, and has significantly less computation and communication overhead than existing approaches.

Quantum cryptography technique: A way to improve security challenges in mobile cloud computing (MCC)

Quantum cryptography concentrates on the solution of cryptography that is imperishable due to the reason of fortification of secrecy which is applied to the public key distribution of quantum. It is a very prominent technology in which 2 beings can securely communicate along with the sights belongings to quantum physics. However, on basis of classical level cryptography, the used encodes were bits for data. As quantum utilizes the photons or particles polarize ones for encoding the quantized property. This is presented in qubits as a unit. Transmissions depend directly on the inalienable mechanic's law of quantum for security. This paper includes detailed insight into the three most used and appreciated quantum cryptography applications that are providing its domain-wide service in the field of mobile cloud computing. These services are (it) DARPA Network, (ii) IPSEC implementation, and (iii) the twisted light HD implementation along with quantum elements, key distribution, and protocols.

Cloud Computing Security Challenges and Related Defensive Measures: A Survey and Taxonomy

Cloud Computing Security Challenges and Related Defensive Measures: A Survey and Taxonomy

Brief Study to Explore Trust and Security Challenges in Cloud Computing

Cloud Computing is an online strategy for dynamic allocation of services by reducing the usage of hardware and software resources. Existing models of cloud computing include different components: end-user computers, contact networks, access control frameworks, and software infrastructures. The data and the cloud infrastructure must be protected from any known and unknown attacks on all cloud platforms to achieve comprehensive cloud security. Trust issues arise from uncertainty about certain actions that can be defined through the concept of fuzzy belief. Trust is faith in quality provided by the cloud service provider and third-party agent on consumers and vice-versa where quality can be considered in terms of functionality, security, privacy, data safety, and reliability on cloud resources. Although the members of a social network have a strong level of trust, this trust may not be adequate in certain cases and becomes an obstacle in the successful implementation of cloud services. For example, a storage facility where users are vulnerable to missing, infected, or corrupted data, while providers are at risk of unknown data being hosted from their network. The relationship between two business partners decays more rapidly relative to the trust of users in the social network of the cloud. This paper aims to address the trust issues in existing cloud paradigms and highlights the existing flaws which will be resolved in the future course of action.