Identity-Based Public Verification with Privacy-Preserving for Data Storage Security in Cloud Computing

Author(s):  
Jining ZHAO ◽  
Chunxiang XU ◽  
Fagen LI ◽  
Wenzheng ZHANG
2015 ◽  
Vol 6 (2) ◽  
pp. 301 ◽  
Author(s):  
Komal Gajanan Nadekar ◽  
Siddhata Hushar Ramteke ◽  
Priyanka Suresh Babulkar ◽  
Jotesh R. Dhuriya ◽  
Nikesh Aote

2019 ◽  
Vol 127 ◽  
pp. 59-69 ◽  
Author(s):  
Hui Tian ◽  
Fulin Nan ◽  
Chin-Chen Chang ◽  
Yongfeng Huang ◽  
Jing Lu ◽  
...  

2013 ◽  
Vol 70 (24) ◽  
pp. 33-37 ◽  
Author(s):  
Navdeep Aggarwal ◽  
Parshant Tyagi ◽  
Bhanu P. Dubey ◽  
Emmanuel S. Pilli

2013 ◽  
Vol 278-280 ◽  
pp. 1767-1770 ◽  
Author(s):  
Guo You Chen ◽  
Jia Jia Miao ◽  
Feng Xie ◽  
Han Dong Mao

Cloud computing has been a hot researching area of computer network technology, since it was proposed in 2007. Cloud computing also has been envisioned as the next-generation architecture of IT Enterprise [1]. Cloud computing infrastructures enable companies to cut costs by outsourcing computations on-demand. It moves the application software and database to the large data centers, where the management of the data and services may not be fully trustworthy [2]. This poses many new security challenges. In this paper, we just focus on data storage security in the cloud, which has been the most important aspect of quality of service. To ensure the confidentiality and integrity of user’s data in the cloud, and support of data dynamic operations, such as modification, insertion and deletion, we propose a framework for storage security, which includes cryptographic storage scheme and data structure. With our framework, the untrusted server cannot learn anything about the plaintext, and the dynamic operation can be finished in short time. The encryption algorithm and data storage structure is simple, and it’s easy to maintain. Hence, our framework is practical to use today.


2016 ◽  
Vol 92 ◽  
pp. 128-135 ◽  
Author(s):  
Naresh vurukonda ◽  
B. Thirumala Rao

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