Enabling Parity Authenticator-Based Public Auditing With Protection of a Valid User Revocation in Cloud

Cloud computing is a promising computing model that enables convenient and on-demand network access to a shared pool of configurable computing resources. The first offered cloud service is moving data into the cloud: data owners let cloud service providers host their data on cloud servers and data consumers can access the data from the cloud servers. This new paradigm of data storage service also introduces new security challenges, because data owners and data servers have different identities and different business interests. Therefore, an independent auditing service is required to make sure that the data is correctly hosted in the Cloud. In this paper, we investigate this kind of problem and give an extensive survey of storage auditing methods in the literature. First, we give a set of requirements of the auditing protocol for data storage in cloud computing. Then, we introduce some existing auditing schemes and analyze them in terms of security and performance. Finally, some challenging issues are introduced in the design of efficient auditing protocol for data storage in cloud computing.

Efficient integrity verification of replicated data in cloud computing system

With the rapid development of cloud advancement, a data security challenge has emerged. In this paper, a technique based on elliptical cryptography and cuckoo search algorithm is proposed. With this technique, data owners securely store their data files in the cloud server. Initially the user sends a file storage request to store a file in a cloud server provider (CSP). The input file is checked whether it is sensitive or non-sensitive by the user. If the file is sensitive, then it would be split and stored in different virtual machines (VMs), and if the file is non-sensitive, then it would be assigned in a single VM. This approach was used for the first time as per the survey. To add further security, the sensitive data retrieval needs an encryption process that is supported by the proposed algorithm. If the data owner stores the sensitive data to cloud server, the data owner's document is encrypted by the double encryption technique. Here RSA and optimal elliptic curve cryptography (OECC) algorithm is used to encrypt the document with high security. The authors have used cuckoo search algorithm to identify the optimal key in ECC. This paper has proposed a novel cryptography approach for delivering mass distributed storage by which user's original data cannot be directly reached by cloud operators. Hence, this research has proved that the proposed work will give better securable data storage solving the security issues.

Providing security to the stored data on the cloud is one of the important challenges in cloud computing. Encrypted data which is stored on the cloud may be viewed or modified by the cloud service provider. To overcome this problem many techniques have been developed but, those cannot guarantee accurately about the security of the stored data. These modifications of the data by the service provider or by others should also be known to the data owner. For such purpose, data tagging technique can be used to audit the data. Auditing is done by using Third Party Auditor (TPA). TPA stores data information of the data owner and challenges to the cloud server, depending upon the data owner request. With the help of such mechanism, TPA can convince both, data owner and cloud server.

<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>

In trusted public cloud, allowing data consumers to recover the information with full integrity. The most of research efforts were focused on a single data owner for safe cloud-based encryption of encrypted data. Additionally, searchable encryption makes it possible for a data user to locate a specific encrypted document from a cloud of encrypted data by searching for keywords (KS). This study isn't useful for retrieving relevant results from keyword searches. Such issues may be overcome using the secure and privacy-preserving keyword search retrieval (SPKSR) technology, which allows users to recover hashed encrypted files from cloud data that is also hashed encrypted. Three distinct entities are included in the proposed system: (a) cloud server (CS), (b) data owner (DO), and (c) data users (DU). It is the CS that generates a searchable index tree for the owner’s hashed encrypted files. The CS keeps the index tree structure and the hashed encrypted document set in its own storage. The encrypted data is hashed and DU executes the “search” over it. Analyses and comparisons of the experimental findings of the suggested system with the other existing system demonstrate its superiority.KeywordsCloud serverCloud computingData usersData ownerIndex treeKeyword‐based searchHashed encrypted document

JCDC: A blockchain-based framework for secure data storage and circulation in JointCloud

With the rapid development of cloud computing, an increasing number of data owners are willing to employ cloud storage service. In cloud storage, the resource-constraint data owners can outsource their large-scale data to the remote cloud server, by which they can greatly reduce local storage overhead and computation cost. Despite plenty of attractive advantages, cloud storage inevitably suffers from some new security challenges due to the separation of outsourced data ownership and its management, such as secure data insertion and deletion. The cloud server may maliciously reserve some data copies and return a wrong deletion result to cheat the data owner. Moreover, it is very difficult for the data owner to securely insert some new data blocks into the outsourced data set. To solve the above two problems, we adopt the primitive of Merkle sum hash tree to design a novel publicly verifiable cloud data deletion scheme, which can also simultaneously achieve provable data storage and dynamic data insertion. Moreover, an interesting property of our proposed scheme is that it can satisfy private and public verifiability without requiring any trusted third party. Furthermore, we formally prove that our proposed scheme not only can achieve the desired security properties, but also can realize the high efficiency and practicality.

Nowadays, cloud services are used by numerous people all around the globe. One of its major applications is in the field of cloud storage. Users can store data in cloud without the need to have har...

Sensing-as-a-Service model provides the platform for data (or device) owners to sell their data to consumers (or buyers) with the help of middle men. The nature of entities involved in this model makes it difficult for the data owners to provide data security and efficient access control. To overcome these issues in Sensing-as-a-Service model, we propose an attribute based access control mechanism using which the data owners can ensure security of sensed or gathered data (irrespective of where it is stored either on a stand alone server or cloud server) as well as efficient access control. With an example it is explained how the data owners in cyber physical systems can specify decentralized access permission and secure their data using the proposed model. Also, the proposed model provides read only access to data buyers. Computation complexity of proposed scheme in offering Sensing-as-a-Service is also discussed.

This report documents the outcomes of Dagstuhl Seminar 11492 “Secure Architectures in the Cloud”. In cloud computing, data storage and processing are offered as services, and data are managed by external providers that reside outside the control of the data owner. The use of such services reduces the burden of the owners in managing their data, and may provide significant cost savings. However, cloud computing introduces new security and privacy concerns. In fact, there is little consensus on how to guarantee the confidentiality, integrity, and availability of data in cloud computing scenarios. Also, it is unclear to what extent parties can be held accountable in case something goes wrong. In this seminar, we searched for architectures, modelling approaches, and mechanisms that can help in providing guarantees for cloud security. We proposed the concept of verification-as-a-service that can guide architectures for verification of cloud architectures and configurations, as well as results of computations. We also proposed architectures for organizing customisability of security and privacy for cloud customers.

Cloud computing enables users with limited resources to accomplish complex computation. Meanwhile, the massive human physiological data generated by Wireless Body Area Network (WBAN) can be benefited by it through being stored in cloud servers. However, cloud storage of human physiological data is challenged by some issues, while one of them is soundness verification. Although local WBAN user is not powerful enough to compute the result on whole data repository, he may have concern on the correctness of the results from cloud which he pays for. To address this problem, this paper proposes a DMB+ tree data structure, and designs a query and verification algorithm for human physiological data in cloud computing environment based on DMB+ tree. By reducing the number of layers returned from the query tree, the algorithm reduces the height of the tree when verifying, thus improving the efficiency of query validation. The experimental results show that the performances in time and network traffic of DMB+ query verification are superior to Merkle tree and digital signature algorithm.

It has been found that the Cloud computing facilities have been used by users of various categories to meet their flexible computing needs which include Processing Powers, Storages, Servers, etc., and among these needs, Public Cloud storage has been used for storing huge data files of different formats and different sizes in Cloud. Because of data security concerns in Cloud, symmetric algorithms have been preferred for encryption and decryption of these data files. Because of limited Internet speed, we must have provision to identify fast and efficient symmetric algorithms for Cloud storages. In the literature survey, we have not found any framework to investigate the efficiency of symmetric algorithms in securing and storing data in Cloud based on various parameters like Encryption Time, Decryption Time, and Throughput, etc.

Cloud computing is Internet based technology where the users can subscribe high quality of services from data and software that resides solely in the remote servers. This provides many benefits for the users to create and store data in the remote servers thereby utilizing fewer resources in client system. However management of the data and software may not be fully trustworthy which possesses many security challenges. One of the security issues is the data storage security where frequent integrity checking of remotely stored data is carried out. RSA based storage security (RSASS) method uses public auditing of the remote data by improving existing RSA based signature generation. This public key cryptography technique is widely used for providing strong security. Using this RSASS method, the data storage correctness is assured and identification of misbehaving server with high probability is achieved. This method also supports dynamic operation on the data and tries to reduce the server computation time. The preliminary results achieved through RSASS, proposed scheme outperforms with improved security in data storage when compared with the existing methods.

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.