Security Analysis on a Public POR Scheme in Cloud Storage

2014 ◽  
Vol 556-562 ◽  
pp. 5395-5399
Author(s):  
Jian Hong Zhang ◽  
Wen Jing Tang
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Security Analysis ◽  
Data Integrity ◽  
Data File ◽  
Cloud Data ◽  
Security Proof ◽  
Cloud Server ◽  
Cloud Data Storage ◽  
Active Attack

Data integrity is one of the biggest concerns with cloud data storage for cloud user. Besides, the cloud user’s constrained computing capabilities make the task of data integrity auditing expensive and even formidable. Recently, a proof-of-retrievability scheme proposed by Yuan et al. has addressed the issue, and security proof of the scheme was provided. Unfortunately, in this work we show that the scheme is insecure. Namely, the cloud server who maliciously modifies the data file can pass the verification, and the client who executes the cloud storage auditing can recover the whole data file through the interactive process. Furthermore, we also show that the protocol is vulnerable to an efficient active attack, which means that the active attacker is able to arbitrarily modify the cloud data without being detected by the auditor in the auditing process. After giving the corresponding attacks to Yuan et al.’s scheme, we suggest a solution to fix the problems.

Design and Implementation of Hybrid EC-RSA Security Algorithm Based on TPA for Cloud Storage

2017 ◽  
Vol 3 (11) ◽  
pp. 6 ◽  
Author(s):  
Arshi Jabbar ◽  
Prof. Umesh Lilhore
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Third Party ◽  
Main Role ◽  
New Thought ◽  
Cloud Data ◽  
Data Owner ◽  
Cloud Server ◽  
Cloud Data Storage ◽  
Encryption Decryption

Cloud storage is one among the service provided by Cloud computing within which information is maintained, managed, secured remotely and created available to users over a network. The user concerning about the integrity of data hold on within the cloud because the user’s data will be attacked or changed by outside attacker. Therefore, a new thought referred to as information auditing is introduced that check the integrity of knowledge with the assistance of an entity referred to as Third Party Auditor (TPA). The aim of this work is to develop an auditing scheme that is secure, economical to use and possess the capabilities like privacy conserving, public auditing, maintaining the information integrity together with confidentiality. It comprises 3 entities: data owner, TPA and cloud server. The data owner performs numerous operations like splitting the file to blocks, encrypting them, generating a hash value for every, concatenating it and generating a signature on that. The TPA performs the main role of knowledge integrity check. It performs activities like generating hash value for encrypted blocks received from cloud server, concatenating them and generates signature on that. It later compares each the signatures to verify whether or not the information stored on cloud is tampered or not. It verifies the integrity of data on demand of the users. To make sure data protection or security of cloud data storage at cloud end, security architecture is designed that secures the data using encryption/decryption algorithm where the proposed algorithm is a hybrid encryption algorithm that uses the concept of EC-RSA, AES algorithm and Blowfish algorithm along with SHA-256 for auditing purpose. Presented experiment results show that the proposed concept is reasonable, it enhancing efficiency about 40% in terms of execution time i.e. encryption as well as decryption time and security and providing confidentiality of cloud data at could end.

scholarly journals DDEAS: Distributed Deduplication System with Efficient Access in Cloud Data Storage

2019 ◽  
Vol 9 (2) ◽  
pp. 1943-1949
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Service Providers ◽  
Similar Data ◽  
Data Set ◽  
Cloud Data ◽  
Network Bandwidth ◽  
File Access ◽  
Cloud Storage Service ◽  
Cloud Data Storage

Cloud storage service is one of the vital function of cloud computing that helps cloud users to outsource a massive volume of data without upgrading their devices. However, cloud data storage offered by Cloud Service Providers (CSPs) faces data redundancy problems. The data de-duplication technique aims to eliminate redundant data segments and keeps a single instance of the data set, even if similar data set is owned by any number of users. Since data blocks are distributed among the multiple individual servers, the user needs to download each block of the file before reconstructing the file, which reduces the system efficiency. We propose a server level data recover module in the cloud storage system to improve file access efficiency and reduce network bandwidth utilization time. In the proposed method, erasure coding is used to store blocks in distributed cloud storage and The MD5 (Message Digest 5) is used for data integrity. Executing recover algorithm helps user to directly fetch the file without downloading each block from the cloud servers. The proposed scheme improves the time efficiency of the system and quick access ability to the stored data. Thus consumes less network bandwidth and reduces user processing overhead while data file is downloading.

An Empirical Model of Data Integrity in Multi Cloud Data Storage

2014 ◽  
Vol 10 (9) ◽  
pp. 466-469
Author(s):  
T.Ravi Kiran ◽  
◽  
G. Roshini ◽  
K.Swetha Harshini ◽  
G.Aparna Gayathri
Keyword(s):  
Data Storage ◽  
Empirical Model ◽  
Data Integrity ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Multi Cloud

Data Storage Technology and its Development Based on Cloud Computing

2013 ◽  
Vol 756-759 ◽  
pp. 1275-1279
Author(s):  
Lin Na Huang ◽  
Feng Hua Liu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
High Performance ◽  
File System ◽  
Storage System ◽  
Distributed File System ◽  
Cloud Data ◽  
Storage Technology ◽  
Cloud Data Storage

Cloud storage of high performance is the basic condition for cloud computing. This article introduces the concept and advantage of cloud storage, discusses the infrastructure of cloud storage system as well as the architecture of cloud data storage, researches the details about the design of Distributed File System within cloud data storage, at the same time, puts forward different developing strategies for the enterprises according to the different roles that the enterprises are acting as during the developing process of cloud computing.

scholarly journals Towards Virtuous Cloud Data Storage Using Access Policy Hiding in Ciphertext Policy Attribute-Based Encryption

2021 ◽  
Vol 13 (11) ◽  
pp. 279
Author(s):  
Siti Dhalila Mohd Satar ◽  
Masnida Hussin ◽  
Zurina Mohd Hanapi ◽  
Mohamad Afendee Mohamed
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Security Analysis ◽  
Data Access ◽  
Logical Connective ◽  
Encrypted Data ◽  
Cloud Data ◽  
Access Policy ◽  
Attribute Based Encryption ◽  
Ciphertext Policy

Managing and controlling access to the tremendous data in Cloud storage is very challenging. Due to various entities engaged in the Cloud environment, there is a high possibility of data tampering. Cloud encryption is being employed to control data access while securing Cloud data. The encrypted data are sent to Cloud storage with an access policy defined by the data owner. Only authorized users can decrypt the encrypted data. However, the access policy of the encrypted data is in readable form, which results in privacy leakage. To address this issue, we proposed a reinforcement hiding in access policy over Cloud storage by enhancing the Ciphertext Policy Attribute-based Encryption (CP-ABE) algorithm. Besides the encryption process, the reinforced CP-ABE used logical connective operations to hide the attribute value of data in the access policy. These attributes were converted into scrambled data along with a ciphertext form that provides a better unreadability feature. It means that a two-level concealed tactic is employed to secure data from any unauthorized access during a data transaction. Experimental results revealed that our reinforced CP-ABE had a low computational overhead and consumed low storage costs. Furthermore, a case study on security analysis shows that our approach is secure against a passive attack such as traffic analysis.

scholarly journals Cloud Data Storage using Attribute based Encryption with Verifiable Outsourcing Auditor Security Schemes

2019 ◽  
Vol 8 (2S11) ◽  
pp. 133-138
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Service Providers ◽  
Government Control ◽  
Cloud Data ◽  
Attribute Based Encryption ◽  
Cloud Storage Service ◽  
Confidential Data ◽  
Cloud Data Storage ◽  
And Storage

Cloud storage services turned out to be continuously elegant. Owing to the implication of security, a few cloud storage secret composing schemes are anticipated to monitor data from those that don't approach. Every single such plan accepted that cloud storage providers region unit safe and can't be hacked; at the same time, in pursue, a few experts may drive cloud storage providers to uncover client insider facts or confidential data on the cloud, hence by and large going around storage mystery composing schemes. Amid this paper, we tend to bless our style for a pristine cloud storage mystery composing subject that permits cloud storage providers to make persuading false client privileged insights to protect client security. Since coercers can't reveal whenever acquired insider facts zone unit genuine or not, the cloud storage providers ensure that client security keeps on being immovably secured. The vast majority of the anticipated schemes expect cloud storage service providers or dependable outsiders taking care of key administration square measure solid and can't be hacked; nonetheless, in pursue, a few substances would conceivably capture interchanges among clients and cloud storage providers at that point urge storage providers to unfasten client privileged insights by misuse government control or diverse proposes that. All through this case, scrambled information square measure thought to be known and storage provider's square measure asked for to unfasten client insider facts

scholarly journals Scalability of Mobile Cloud Storage

2021 ◽  
Vol 15 (21) ◽  
pp. 199
Author(s):  
Nur Syahela Hussien ◽  
Sarina Sulaiman ◽  
Abdulaziz Aborujilah ◽  
Merlinda Wibowo ◽  
Hussein Samma
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Storage Management ◽  
Management Systems ◽  
Mobile Cloud ◽  
Data Management Systems ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Stable Performance ◽  
Access To Data

<span>Today, there are high demands on Mobile Cloud Storage (MCS) services that need to manage the increasing number of works with stable performance. This situation brings a challenge for data management systems because when the number of works increased MCS needs to manage the data wisely to avoid latency occur. If latency occurs it will slow down the data performance and it should avoid that problem when using MCS. Moreover, MCS should provide users access to data faster and correctly. Hence, the research focuses on the scalability of mobile cloud data storage management, which is study the scalable on how deep the data folder itself that increase the number of works.</span>

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