Sedas: A Self Destructive Active Storage Framework for Data Privacy
Journal: International Journal of Scientific Engineering and Research (IJSER) (Vol.2, No. 3)Publication Date: 2014-03-05
Authors : R. C. Dharmik Hemlata Dakhore Vaishali Jadhao;
Page : 33-36
Keywords : Active storage; Cloud computing; data privacy; self-destructing data;
- Sedas: A Self Destructive Active Storage Framework for Data Privacy
- A Self Destructing Data System Based on Active Storage Framework for Protecting Data Privacy from attackers UN agency?
- PAS-Cloud : Toward a Framework With privacy preserving public Auditing Strategies for Heterogeneous Data in cloud storage
- Enhanced Privacy of Cloud Storage Data Users by Using Improved Data Access Control Scheme for Multi-Authority Cloud Storage
- Security and Privacy Enhancement Framework for Mobile Devices using Active Authentication
Abstract
Personal data that we store in the Cloud may contain account numbers, passwords, notes, and other important information that could be used and misused by a miscreant, a competitor, or a court of law. These data are cached and copied by Cloud Service Providers, often without users? authorization and control. Self-destructing data mainly aims at protecting the user data?s privacy. All the data and their copies become destructed or unreadable after a user-specified time, without any information to user. In addition, the decryption key is destructed after the user-specified time. In this paper, we present a system that meets this challenge through a novel integration of cryptographic techniques with active storage techniques. We implemented a proof-of-concept self destructive prototype. Through functionality and security properties evaluations of this prototype, the results demonstrate that the system is practical to use and meets all the privacy-preserving goals described. Compared to the system without self-destructing data mechanism, throughput for uploading and downloading with the proposed system acceptably decreases, while latency for upload/download operations with self-destructing data mechanism increases.
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