Analysis and Research of Data Security Policy Based on Cloud Storage

2014 ◽  
Vol 912-914 ◽  
pp. 1160-1163
Author(s):  
Ning Wang
Keyword(s):  
Data Storage ◽  
Computer Technology ◽  
Data Security ◽  
Security Policy ◽  
Cloud Storage ◽  
Low Cost ◽  
Status Quo ◽  
Storage Security ◽  
Security Problem ◽  
The Status

Cloud computer technology is one of current hot areas of the development of the information technology, and the data storage service based on the cloud is developing rapidly, which makes more and more enterprises and individuals enjoy the efficiency, convenience as well as low cost supplied by cloud storage. However, at the same time, the security problem of cloud storage arouses users' attention. This paper firstly expounds the basic information and system of cloud storage, then analyses the status quo of the development of cloud storage, and finally offers some preventive strategies based on cloud storage security.

A New User-controlled and Efficient Encrypted Data Sharing Model in Cloud Storage

2019 ◽  
Vol 13 (4) ◽  
pp. 356-363
Author(s):  
Yuezhong Wu ◽  
Wei Chen ◽  
Shuhong Chen ◽  
Guojun Wang ◽  
Changyun Li
Keyword(s):  
Data Sharing ◽  
Data Security ◽  
Cloud Storage ◽  
Screening Program ◽  
Original Data ◽  
Third Party ◽  
Active System ◽  
Encrypted Data ◽  
Active User ◽  
User Data

Background: Cloud storage is generally used to provide on-demand services with sufficient scalability in an efficient network environment, and various encryption algorithms are typically applied to protect the data in the cloud. However, it is non-trivial to obtain the original data after encryption and efficient methods are needed to access the original data. Methods: In this paper, we propose a new user-controlled and efficient encrypted data sharing model in cloud storage. It preprocesses user data to ensure the confidentiality and integrity based on triple encryption scheme of CP-ABE ciphertext access control mechanism and integrity verification. Moreover, it adopts secondary screening program to achieve efficient ciphertext retrieval by using distributed Lucene technology and fine-grained decision tree. In this way, when a trustworthy third party is introduced, the security and reliability of data sharing can be guaranteed. To provide data security and efficient retrieval, we also combine active user with active system. Results: Experimental results show that the proposed model can ensure data security in cloud storage services platform as well as enhance the operational performance of data sharing. Conclusion: The proposed security sharing mechanism works well in an actual cloud storage environment.

A Comprehensive Report on Security and Privacy Challenges in Software as a Service

2021 ◽  
pp. 1714-1739
Author(s):  
Pradeep Kumar Tiwari ◽  
Sandeep Joshi
Keyword(s):  
Data Security ◽  
Cloud Storage ◽  
Software As A Service ◽  
Security And Privacy ◽  
Security Mechanism ◽  
Security Vulnerabilities ◽  
Important Challenge ◽  
Technical Challenges ◽  
Continuous Work ◽  
Cloud Network

Researchers have done tremendous works for data security, but a robust security mechanism is not available yet. Researchers are doing continuous work to build robust SaaS mechanism. SaaS has several security vulnerabilities. Data security is still the most important challenge to researcher and they can constantly do research to protect the data over the network but they are facing numerous technical challenges to completely secure the cloud network and cloud storage. This work would be helpful to understand data security and privacy problems. Researchers can find the new way to understand SaaS security vulnerabilities and currently available solutions.

scholarly journals Survey on Data Integrity, Recovery, and Proof of Retrievability Techniques in Cloud Storage

2018 ◽  
Vol 7 (3.6) ◽  
pp. 55
Author(s):  
Neha Narayan Kulkarni ◽  
Shital Kumar A. Jain ◽  
. .
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Data Security ◽  
Cloud Storage ◽  
Data Integrity ◽  
Data Recovery ◽  
Unstructured Data ◽  
Large Memory ◽  
Local Storage ◽  
Proof Of Retrievability

Recently the technologies are growing fast, so they have become the point of source and also the sink for data. Data is generated in large volume introducing the concept of structured and unstructured data evolving "Big Data" which needs large memory for storage. There are two possible solutions either increase the local storage or use the Cloud Storage. Cloud makes data available to the user anytime, anywhere, anything. Cloud allows the user to store their data virtually without investing much. However, this data is on cloud raising a concern of data security and recovery. This attack is made by the untrusted or unauthorized user remotely. The attacker may modify, delete or replace the data. Therefore, different models are proposed for a data integrity check and proof of retrievability. This paper includes the literature review related to various techniques for data integrity, data recovery and proof of retrievability.  

Security Policy of Data in Enterprise Data Trusteeship Database

2011 ◽  
Vol 187 ◽  
pp. 358-361
Author(s):  
Hua Jiang ◽  
Jing Wen
Keyword(s):  
Data Storage ◽  
Data Security ◽  
Security Policy ◽  
Maintenance Cost ◽  
Medium Size ◽  
Two Phase ◽  
Security Problem ◽  
Service Data ◽  
And Coping ◽  
Enterprise Security

As the low maintenance cost of data trusteeship, more and more medium-size and small size enterprises choose data trusteeship service. Data is valuable fortune of enterprise, security of enterprise data must be guaranteed in the condition of together using a same host. Data security includes data transmission security, data storage security and confidentiality security. The paper discusses the security problem and coping strategy of database data in a data trusteeship environment. Two-phase sub-keys encryption algorithm is used to encrypt the data and also analysis its usability and security. The realized method is further presented. The algorithm solves the data security problem of database in a data trusteeship environment effectively and further enhances the security of database data.

Research on Data Destruction Mechanism with Security Level in HDFS

2013 ◽  
Vol 834-836 ◽  
pp. 1795-1798
Author(s):  
Jun Qin ◽  
Ya Ping Zhang ◽  
Ping Zong
Keyword(s):  
Data Security ◽  
Cloud Storage ◽  
Storage System ◽  
Security Requirements ◽  
Security Level ◽  
Primary Concern ◽  
Simulation Experiments ◽  
Performance Requirements ◽  
Destruction Mechanism ◽  
And Performance

In cloud computing applications, the data security is a primary concern of user. In this paper, for the problem that data of the HDFS cannot be destroyed completely in open source cloud storage system, which may lead to data leakage, it designs a destruction mechanism of HDFS with multiple security level. This mechanism make data effectively destroyed by the method of data overwrite which makes a balance between security requirements and performance requirements. The Simulation experiments show that the mechanism can override a Block file in HDFS environment effectively to achieve the purpose of data destroying. At the same the overhead of different overwrite algorithm is different also which can ensure the security and efficiency is balanced.

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