Ensuring Data Storage Security in Cloud Computing using Java
The idea is to ensure the security of data that in stored using cloud computing technology.
Abstract:
Cloud computing has been envisioned as the next-generation architecture of IT enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy.
To ensure the correctness of users' data in the cloud, effective and flexible methods can be provided. By utilizing the homomorphic token with distributed verification of erasure-coded data, integration of storage correctness insurance and data error localization i.e. the identification of misbehaving server can be achieved. It also supports secure and efficient dynamic operations on data blocks, including: data update, delete and append.
Correctness of users' data in the cloud can be ensured by using erasure correcting code in the file distribution preparation to provide redundancies and guarantee the data dependability. It reduces the communication and storage overhead as compared to the traditional replication-based file distribution techniques.
Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks.
Requirements:
Abstract:
Cloud computing has been envisioned as the next-generation architecture of IT enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy.
To ensure the correctness of users' data in the cloud, effective and flexible methods can be provided. By utilizing the homomorphic token with distributed verification of erasure-coded data, integration of storage correctness insurance and data error localization i.e. the identification of misbehaving server can be achieved. It also supports secure and efficient dynamic operations on data blocks, including: data update, delete and append.
Correctness of users' data in the cloud can be ensured by using erasure correcting code in the file distribution preparation to provide redundancies and guarantee the data dependability. It reduces the communication and storage overhead as compared to the traditional replication-based file distribution techniques.
Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks.
Requirements:
- Java, Swing, RMJ, J2ME
- Eclipse 3.3
0
