IJERT-Secure and Efficient Audit Service for Data Integrity in Cloud Storage (original) (raw)

Efficient audit service outsourcing for data integrity in clouds

Journal of Systems and Software, 2012

Cloud-based outsourced storage relieves the client's burden for storage management and maintenance by providing a comparably low-cost, scalable, location-independent platform. However, the fact that clients no longer have physical possession of data indicates that they are facing a potentially formidable risk for missing or corrupted data. To avoid the security risks, audit services are critical to ensure the integrity and availability of outsourced data and to achieve digital forensics and credibility on cloud computing. Provable data possession (PDP), which is a cryptographic technique for verifying the integrity of data without retrieving it at an untrusted server, can be used to realize audit services. In this paper, profiting from the interactive zero-knowledge proof system, we address the construction of an interactive PDP protocol to prevent the fraudulence of prover (soundness property) and the leakage of verified data (zero-knowledge property). We prove that our construction holds these properties based on the computation Diffie-Hellman assumption and the rewindable black-box knowledge extractor. We also propose an efficient mechanism with respect to probabilistic queries and periodic verification to reduce the audit costs per verification and implement abnormal detection timely. In addition, we present an efficient method for selecting an optimal parameter value to minimize computational overheads of cloud audit services. Our experimental results demonstrate the effectiveness of our approach.

An Auditing Protocol for Protected Data Storage in Cloud Computing

2016

Cloud computing is the utilization of computing resources (hardware and software) that are pooled as services over the internet. Cloud storage is an essential facility of cloud computing [1], which allows data owners (owners) to shift information from their confined computing systems to the cloud. Cloud computing is being determined by a lot of which includes Google, Amazon and Yahoo also some traditional vendors including IBM, Intel and Microsoft [2]. Once data goes into cloud, the customer drops the control over the data. This lack of control raises new fearsome and difficult issues related to privacy and reliability of data placed in cloud [3]. Sometimes, cloud service providers may be fraudulent. They may remove the data that have not been used for a longer period of time to save the storage space and state that the data is still perfectly stored in the cloud [1].

IJERT-Advanced Data Integrity Checking Mechanism in Cloud

International Journal of Engineering Research and Technology (IJERT), 2019

https://www.ijert.org/Advanced-Data-Integrity-Checking-Mechanism-in-Cloud https://www.ijert.org/research/Advanced-Data-Integrity-Checking-Mechanism-in-Cloud-IJERTCONV7IS08066.pdf Cloud computing is one of the important area, which includes the delivery of hosted services over the Internet. Both time and money can be saved by using the cloud services. The major application of cloud computing is cloud storage, which offers user scalability, flexibility, high quality storage and computation services. Files are outsourced to the cloud by the data owner for the long term storage. Cloud storage servers are not fully trustable; data owner requires dependable means to check the integrity of the files which is outsourced to the remote cloud servers. To solve this problem, data integrity checking mechanism has been presented. Many of the existing approaches have susceptibility in efficiency or data dynamics. However, there are some security issues which are to be solved for end users and enterprises for the storage of data in the cloud. The fact is that users will lose the physical control of their data after outsourcing. The data stored in the cloud can be hacked by the hacker, so the cloud user is worried about the integrity of the data stored in the cloud. The main goal of the project is to suggest an efficient public auditing technique using Third Party Auditor (TPA) to verify the integrity of data stored in the cloud. In the proposed system encryption and decryption can be performed by using AES algorithm and Secure Hash Algorithm (SHA-1) algorithm is used to generate verification metadata to check the integrity of the data.

A Survey on Integrity Verification in Cloud Computing

Cloud computing has been popular as the IT architectures. Cloud service providers offers many services based on cloud computing. Cloud storage service is one of the cloud services which can provide a huge storage space to solve the bottleneck of the storage space of local end users. Here the Cloud server allows the users to store their data on cloud without worrying about correctness and integrity of data. Cloud data storage has many advantages over local data storage. Users can upload their data on cloud and can access those data anytime anywhere without any additional burden. The Users need not to worry about storage and maintenance of cloud data. However, cloud storage service may have data security because the user’s data is stored at the untrusted servers instead of their own storage. In this paper, we will focus on data integrity which is very important cloud storage service. Public auditability is a model of outsourcing data integrity verification, which can achieve efficiency and security. Therefore, we survey the previous researches of data integrity based on public auditability to analyze security and efficiency. In this paper we propose a new idea for privacy preserving public auditing for data storage security in cloCloud computing has been popular as the IT architectures. Cloud service providers offers many services based on cloud computing. Cloud storage service is one of the cloud services which can provide a huge storage space to solve the bottleneck of the storage space of local end users. Here the Cloud server allows the users to store their data on cloud without worrying about correctness and integrity of data. Cloud data storage has many advantages over local data storage. Users can upload their data on cloud and can access those data anytime anywhere without any additional burden. The Users need not to worry about storage and maintenance of cloud data. However, cloud storage service may have data security because the user’s data is stored at the untrusted servers instead of their own storage. In this paper, we will focus on data integrity which is very important cloud storage service. Public auditability is a model of outsourcing data integrity verification, which can achieve efficiency and security. Therefore, we survey the previous researches of data integrity based on public auditability to analyze security and efficiency. In this paper we propose a new idea for privacy preserving public auditing for data storage security in cloud computing using AES algorithm and Secure Hash Algorithm. It will also support data dynamics where the users can insert, delete and update their data. Cloud computing has been popular as the IT architectures. Cloud service providers offers many services based on cloud computing. Cloud storage service is one of the cloud services which can provide a huge storage space to solve the bottleneck of the storage space of local end users. Here the Cloud server allows the users to store their data on cloud without worrying about correctness and integrity of data. Cloud data storage has many advantages over local data storage. Users can upload their data on cloud and can access those data anytime anywhere without any additional burden. The Users need not to worry about storage and maintenance of cloud data. However, cloud storage service may have data security because the user’s data is stored at the untrusted servers instead of their own storage. In this paper, we will focus on data integrity which is very important cloud storage service. Public auditability is a model of outsourcing data integrity verification, which can achieve efficiency and security. Therefore, we survey the previous researches of data integrity based on public auditability to analyze security and efficiency. In this paper we propose a new idea for privacy preserving public auditing for data storage security in cloud computing using AES algorithm and Secure Hash Algorithm. It will also support data dynamics where the users can insert, delete and update their data. ud computing using AES algorithm and Secure Hash Algorithm. It will also support data dynamics where the users can insert, delete and update their data.

Secure Cloud Data Audit using Protocol and Digital Signature Techniques

International Journal of Recent Technology and Engineering (IJRTE), 2019

Cloud computing is one of the important business models in the modern Information Technology. It provides various services (hardware, software) to the users with minimal interaction and low-cost. Storage service is one of the most useful services in cloud computing, which move data owners data from local computing system to the cloud. In this paradigm, once the data moves from the local computing system to the cloud, the data owner lost the physical control of the outsourced data on the cloud. So that, storage service creates data security challenges. Therefore, the integrity of the outsourced data has to be verified frequently using public or private verification method. In this paper we focus on two data security concern such as data confidentiality and remote data integrity on cloud storage system. In order to ensure the data integrity and reduce the data owners computational resources, in this work we have proposed a remote data integrity auditing methods such as Remote Data Aud...

MANAGING OF CLOUD STORAGE AUDITING FOR DATA INTEGRITY

Cloud storage auditing can be used to ensure the integrity from the data kept in public cloud, which is among the important security approaches to cloud storage. Our goal would be to design a cloud storage auditing protocol with built-in key-exposure resilience. Within our paper, we concentrate on this new facet of cloud storage auditing. We investigate how you can lessen the harm to the client's key exposure in cloud storage auditing, and provide the very first practical solution with this new problem setting. Within our design, we employ the binary tree structure and also the pre-order traversal method to update the key keys for that client. We create a novel authenticator construction to aid the forward security and also the property of block less verifiability.

Public Auditing Scheme for Integrity Verification in Distributed Cloud Storage System

Scientific Programming

Cloud storage provides a potential solution replacing physical disk drives in terms of prominent outsourcing services. A threaten from an untrusted server affects the security and integrity of the data. However, the major problem between the data integrity and cost of communication and computation is directly proportional to each other. It is hence necessary to develop a model that provides the trade-off between the data integrity and cost metrics in cloud environment. In this paper, we develop an integrity verification mechanism that enables the utilisation of cryptographic solution with algebraic signature. The model utilises elliptic curve digital signature algorithm (ECDSA) to verify the data outsources. The study further resists the malicious attacks including forgery attacks, replacing attacks and replay attacks. The symmetric encryption guarantees the privacy of the data. The simulation is conducted to test the efficacy of the algorithm in maintaining the data integrity with ...

Data Integrity Proof In Cloud Storage

Cloud computing has been envisioned as the de-facto solution to the rising storage costs of IT Enterprises. With the high costs of data storage devices as well as the rapid rate at which data is being generated it proves costly for enterprises or individual users to frequently update their hardware. Apart from reduction in storage costs data outsourcing to the cloud also helps in reducing the maintenance. Cloud storage moves the user’s data to large data centres, which are remotely located, on which user does not have any control. However, this unique feature of the cloud poses many new security challenges which need to be clearly understood and resolved. We provide a scheme which gives a proof of data integrity in the cloud which the customer can employ to check the correctness of his data in the cloud. This proof can be agreed upon by both the cloud and the customer and can be incorporated in the Service level agreement (SLA).

IJERT-Study Of Integrity Of Information Stored In Cloud

International Journal of Engineering Research and Technology (IJERT), 2012

https://www.ijert.org/study-of-integrity-of-information-stored-in-cloud https://www.ijert.org/research/study-of-integrity-of-information-stored-in-cloud-IJERTV1IS10145.pdf Cloud computing is having importance in current IT world. Cloud computing provides us with shared pool resources which we can access from anywhere without worrying about maintenance and management. It is important that data in the cloud should be correct, consistent and accessible and should have high quality. There is no guarantee that data stored in the cloud is secured and not altered by the Third Party Auditor (TPA). In this paper we provide scheme which gives trustworthiness of information stored in the cloud which the customer can employ to check the correctness of his data in the cloud. This proof can be agreed upon by both the cloud and the customer and can be incorporated in the Service level agreement (SLA). It also checks integrity with more accuracy.

Rigorous Public Auditing Support On Shared Data Stored In The Cloud By Privacy-Preserving Mechanism

2015

Cloud storage systems allow data owners to host their data on cloud servers and users (data consumers) can access their data from cloud servers. The paradigm of data hosting service also introduces new security challenges, which requires an independent auditing service to check the data integrity in the cloud server. Generally security in cloud is achieved by signing the data block before sending to the cloud server. Moreover, users should use cloud storage like the local storage and they didn't worry about the integrity of the data. In large-scale cloud storage systems, the data may be updated dynamically, so existing remote integrity checking methods served for static archive data are no longer applicable to check the data integrity. Thus, efficient and secure dynamic auditing protocols desired to convince data owners that the data is correctly stored in the cloud. The public auditability for cloud data storage security is of critical importance so that users can resort to an external audit party to check the integrity of stored data when needed. To securely introduce an effective third party auditor (TPA), these are : 1) TPA should be able to efficiently audit the cloud data storage without demanding the local copy of data, and introduce no additional on-line burden to the cloud user; 2) The third party auditing process should bring in no new vulnerabilities towards user data privacy. In this paper, we propose a secure cloud storage system supporting privacy-preserving and public auditing.