Secure cloud storage with data dynamic using secure network coding technique
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The document presents the design of secure cloud storage protocols for dynamic and append-only data, leveraging secure network coding techniques. It introduces two protocols, DSCS I for dynamic data and DSCS II for append-only data, detailing their construction, performance evaluation, and security definitions. Additionally, the document outlines the challenges and considerations in developing efficient and secure cloud storage solutions from secure network coding protocols.
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Secure cloud storage with data dynamic using secure network
coding technique
Abstract:
In the age of cloud computing, cloud users with limited storage can outsource their data to
remote servers. These servers, in lieu of monetary benefits, offer retrievability of their clients’
data at any point of time. Secure cloud storage protocols enable a client to check integrity of
outsourced data. In this work, we explore the possibility of constructing a secure cloud storage
for dynamic data by leveraging the algorithms involved in secure network coding. We show that
some of the secure network coding schemes can be used to construct efficient secure cloud
storage protocols for dynamic data, and we construct such a protocol (DSCS I) based on a secure
network coding protocol. To the best of our knowledge, DSCS I is the first secure cloud storage
protocol for dynamic data constructed using secure network coding techniques which is secure in
the standard model. Although generic dynamic data support arbitrary insertions, deletions and
modifications, append-only data find numerous applications in the real world. We construct
another secure cloud storage protocol (DSCS II) specific to append-only data — that overcomes
some limitations of DSCS I. Finally, we provide prototype implementations for DSCS I and
DSCS II in order to evaluate their performance.
Index Terms—Secure cloud storage, network coding, dynamic data, append-only data, public
verifiability.
Existing System:
we look at the problem of constructing a secure cloud storage protocol for dynamic data (DSCS)
from a different perspective. We investigate whether we can construct an efficient DSCS
protocol using an SNC protocol. In a previous work, Chen et al. [16] reveal a relationship
between secure cloud storage and secure network coding. In particular, they show that one can
exploit some of the algorithms involved in an SNC protocol in order to construct a secure cloud
storage protocol for static data. However, their construction does not handle dynamic data — that
makes it insufficient in many applications where a client needs to update (insert, delete or
modify) the remote data efficiently. Further investigations are needed towards an efficient DSCS
construction using a secure network coding (SNC) protocol.
Network coding techniques have been used to construct distributed storage systems [17], [18]
where the client’s data are disseminated across multiple servers. However, they primarily aim to
reduce the repair bandwidth when some of the servers fail. On the other hand, we explore
whether we can exploit the algorithms involved in an SNC protocol to construct an efficient and
secure cloud storage protocol for dynamic data (for a single storage server).](https://image.slidesharecdn.com/securecloudstoragewithdatadynamicusingsecurenetworkcodingtechnique-200930161350/85/Secure-cloud-storage-with-data-dynamic-using-secure-network-coding-technique-1-320.jpg)
Secure cloud storage with data dynamic using secure network coding technique
- 1. Venkat Java Projects Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com Email:[email protected] Secure cloud storage with data dynamic using secure network coding technique Abstract: In the age of cloud computing, cloud users with limited storage can outsource their data to remote servers. These servers, in lieu of monetary benefits, offer retrievability of their clients’ data at any point of time. Secure cloud storage protocols enable a client to check integrity of outsourced data. In this work, we explore the possibility of constructing a secure cloud storage for dynamic data by leveraging the algorithms involved in secure network coding. We show that some of the secure network coding schemes can be used to construct efficient secure cloud storage protocols for dynamic data, and we construct such a protocol (DSCS I) based on a secure network coding protocol. To the best of our knowledge, DSCS I is the first secure cloud storage protocol for dynamic data constructed using secure network coding techniques which is secure in the standard model. Although generic dynamic data support arbitrary insertions, deletions and modifications, append-only data find numerous applications in the real world. We construct another secure cloud storage protocol (DSCS II) specific to append-only data — that overcomes some limitations of DSCS I. Finally, we provide prototype implementations for DSCS I and DSCS II in order to evaluate their performance. Index Terms—Secure cloud storage, network coding, dynamic data, append-only data, public verifiability. Existing System: we look at the problem of constructing a secure cloud storage protocol for dynamic data (DSCS) from a different perspective. We investigate whether we can construct an efficient DSCS protocol using an SNC protocol. In a previous work, Chen et al. [16] reveal a relationship between secure cloud storage and secure network coding. In particular, they show that one can exploit some of the algorithms involved in an SNC protocol in order to construct a secure cloud storage protocol for static data. However, their construction does not handle dynamic data — that makes it insufficient in many applications where a client needs to update (insert, delete or modify) the remote data efficiently. Further investigations are needed towards an efficient DSCS construction using a secure network coding (SNC) protocol. Network coding techniques have been used to construct distributed storage systems [17], [18] where the client’s data are disseminated across multiple servers. However, they primarily aim to reduce the repair bandwidth when some of the servers fail. On the other hand, we explore whether we can exploit the algorithms involved in an SNC protocol to construct an efficient and secure cloud storage protocol for dynamic data (for a single storage server).
- 2. Venkat Java Projects Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com Email:[email protected] Proposed System: Our major contributions in this work are summarized as follows. We explore the possibility of providing a generic construction of a DSCS protocol from any SNC protocol. We discuss the challenges for a generic construction in details and identify some SNC protocols suitable for constructing efficient DSCS protocols. We construct a publicly verifiable DSCS protocol (DSCS I) from an SNC protocol . DSCS I handles dynamic data, i.e., a client can efficiently perform updates (insertion, deletion and modification) on the outsourced data. We discuss the (asymptotic) performance and certain limitations of DSCS I. We provide the formal security definition of a DSCS protocol and prove the security of DSCS I. As append-only data are a special case of generic dynamic data, we can use DSCS I (which is based on ) for append-only data. However, we identify some SNC protocols that are not suitable for building a secure cloud storage for generic dynamic data, but efficient secure cloud storage protocols for appendonly data can be constructed from them. We construct such a publicly verifiable secure cloud storage protocol (DSCS II) for append-only data by using an SNC protocol proposed by Boneh et al.. We discuss the (asymptotic) performance of DSCS II which overcomes some limitations of DSCS I. We implement DSCS I and DSCS II and evaluate their performance based on storage overhead, computational cost and communication cost. System Architecture:
- 3. Venkat Java Projects Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com Email:[email protected] SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS: • PROCESSOR : I3. • Hard Disk : 40 GB. • Ram : 2 GB. SOFTWARE REQUIREMENTS: • Operating system : Windows. • Coding Language : JAVA/J2EE • Data Base : MYSQL • IDE :Netbeans8.1