Text-overlap comparison
This pair was found by matching on title alone (find_title_bucket_dupes.py) — the usual paragraph-embedding similarity search never generated a candidate for it at any threshold. The exhibits below are near-exact word-shingle matches instead — a multi-word verbatim run is the more convincing evidence of shared text than embedding similarity, with the matched span highlighted.
PAPER A
PAPER B
EARLIER¶0
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
LATER¶0-4
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-3, Issue-4, Apr- 2017] https://dx.doi.org/10.24001/ijaems.3.4.12 ISSN: 2454-1311 www.ijaems.com Page | 355 An Enhanced Multi-Layered Cryptosystem Based Secure and Authorized auditing deduplication Model in Cloud Storage System K. Mamatha1, D.Nandini2, K. Raja Manohar Reddy3 Dept. of IT, Lakireddy Balireddy College of Engineering, Andhra Pradesh, India Abstract— As the cloud computing technology develops during the recent days, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, willing achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud. SecCloud introduces an auditing entity with maintenance of a Map Reduce cloud, which helps clients generate data tags before uploading still audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud is designed motivated individually fact that customers always must encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data. Keywords—cloud storage, data deduplication, secure auditing, proof of ownership protocol, Proof of retrievability, proof of ownership. I. INTRODUCTION As the cloud computing technology develops around the continue decade, outsourcing story to cloud enrollment for computerized information becomes an bright trend, which benefits in sparing efforts on chief disclosure reprieve and management. Nevertheless, as a result of the outsourced leave in the shade storage is not far trustworthy, it raises stake concerns on at which point to notice front page new de-duplication in outweigh interim achieving moral auditing. In this employment, we design the stoppage of moral auditing and win de-duplication on dwarf data. Specifically, determined achieving both data principle and de-duplication in cloud, we propose two secure systems, namely Sec-Cloud and Sec-Cloud. SecCloud introduces an auditing entity by the whole of maintenance of a Map Reduce cloud, which helps clients arouse data tags once uploading as abundantly as audit the integrity of data having been collected in cloud. Compared mutually previous function, the computation by addict in Sec-Cloud is profoundly reduced around the file uploading and auditing phases. Sec-Cloud is designed motivated by the rundown that customers eternally want to encrypt their data earlier uploading, and enables integrity auditing and achieve de-duplication on encrypted data. Cloud storage systems are becoming increasingly popular. A promising technology that keeps their cost down is deduplication.More specifically, an attacker who knows the hash signature of a file can convince the storage service that it owns that file; hence the server lets the attacker download the entire file. .Data security is also challenge in the cloud server.
EARLIER¶0
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
LATER¶0-4
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-3, Issue-4, Apr- 2017] https://dx.doi.org/10.24001/ijaems.3.4.12 ISSN: 2454-1311 www.ijaems.com Page | 355 An Enhanced Multi-Layered Cryptosystem Based Secure and Authorized auditing deduplication Model in Cloud Storage System K. Mamatha1, D.Nandini2, K. Raja Manohar Reddy3 Dept. of IT, Lakireddy Balireddy College of Engineering, Andhra Pradesh, India Abstract— As the cloud computing technology develops during the recent days, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, willing achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud. SecCloud introduces an auditing entity with maintenance of a Map Reduce cloud, which helps clients generate data tags before uploading still audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud is designed motivated individually fact that customers always must encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data. Keywords—cloud storage, data deduplication, secure auditing, proof of ownership protocol, Proof of retrievability, proof of ownership. I. INTRODUCTION As the cloud computing technology develops around the continue decade, outsourcing story to cloud enrollment for computerized information becomes an bright trend, which benefits in sparing efforts on chief disclosure reprieve and management. Nevertheless, as a result of the outsourced leave in the shade storage is not far trustworthy, it raises stake concerns on at which point to notice front page new de-duplication in outweigh interim achieving moral auditing. In this employment, we design the stoppage of moral auditing and win de-duplication on dwarf data. Specifically, determined achieving both data principle and de-duplication in cloud, we propose two secure systems, namely Sec-Cloud and Sec-Cloud. SecCloud introduces an auditing entity by the whole of maintenance of a Map Reduce cloud, which helps clients arouse data tags once uploading as abundantly as audit the integrity of data having been collected in cloud. Compared mutually previous function, the computation by addict in Sec-Cloud is profoundly reduced around the file uploading and auditing phases. Sec-Cloud is designed motivated by the rundown that customers eternally want to encrypt their data earlier uploading, and enables integrity auditing and achieve de-duplication on encrypted data. Cloud storage systems are becoming increasingly popular. A promising technology that keeps their cost down is deduplication.More specifically, an attacker who knows the hash signature of a file can convince the storage service that it owns that file; hence the server lets the attacker download the entire file. .Data security is also challenge in the cloud server.
EARLIER¶0
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
LATER¶0-4
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-3, Issue-4, Apr- 2017] https://dx.doi.org/10.24001/ijaems.3.4.12 ISSN: 2454-1311 www.ijaems.com Page | 355 An Enhanced Multi-Layered Cryptosystem Based Secure and Authorized auditing deduplication Model in Cloud Storage System K. Mamatha1, D.Nandini2, K. Raja Manohar Reddy3 Dept. of IT, Lakireddy Balireddy College of Engineering, Andhra Pradesh, India Abstract— As the cloud computing technology develops during the recent days, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, willing achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud. SecCloud introduces an auditing entity with maintenance of a Map Reduce cloud, which helps clients generate data tags before uploading still audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud is designed motivated individually fact that customers always must encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data. Keywords—cloud storage, data deduplication, secure auditing, proof of ownership protocol, Proof of retrievability, proof of ownership. I. INTRODUCTION As the cloud computing technology develops around the continue decade, outsourcing story to cloud enrollment for computerized information becomes an bright trend, which benefits in sparing efforts on chief disclosure reprieve and management. Nevertheless, as a result of the outsourced leave in the shade storage is not far trustworthy, it raises stake concerns on at which point to notice front page new de-duplication in outweigh interim achieving moral auditing. In this employment, we design the stoppage of moral auditing and win de-duplication on dwarf data. Specifically, determined achieving both data principle and de-duplication in cloud, we propose two secure systems, namely Sec-Cloud and Sec-Cloud. SecCloud introduces an auditing entity by the whole of maintenance of a Map Reduce cloud, which helps clients arouse data tags once uploading as abundantly as audit the integrity of data having been collected in cloud. Compared mutually previous function, the computation by addict in Sec-Cloud is profoundly reduced around the file uploading and auditing phases. Sec-Cloud is designed motivated by the rundown that customers eternally want to encrypt their data earlier uploading, and enables integrity auditing and achieve de-duplication on encrypted data. Cloud storage systems are becoming increasingly popular. A promising technology that keeps their cost down is deduplication.More specifically, an attacker who knows the hash signature of a file can convince the storage service that it owns that file; hence the server lets the attacker download the entire file. .Data security is also challenge in the cloud server.
EARLIER¶0
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
LATER¶0-4
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-3, Issue-4, Apr- 2017] https://dx.doi.org/10.24001/ijaems.3.4.12 ISSN: 2454-1311 www.ijaems.com Page | 355 An Enhanced Multi-Layered Cryptosystem Based Secure and Authorized auditing deduplication Model in Cloud Storage System K. Mamatha1, D.Nandini2, K. Raja Manohar Reddy3 Dept. of IT, Lakireddy Balireddy College of Engineering, Andhra Pradesh, India Abstract— As the cloud computing technology develops during the recent days, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, willing achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud. SecCloud introduces an auditing entity with maintenance of a Map Reduce cloud, which helps clients generate data tags before uploading still audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud is designed motivated individually fact that customers always must encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data. Keywords—cloud storage, data deduplication, secure auditing, proof of ownership protocol, Proof of retrievability, proof of ownership. I. INTRODUCTION As the cloud computing technology develops around the continue decade, outsourcing story to cloud enrollment for computerized information becomes an bright trend, which benefits in sparing efforts on chief disclosure reprieve and management. Nevertheless, as a result of the outsourced leave in the shade storage is not far trustworthy, it raises stake concerns on at which point to notice front page new de-duplication in outweigh interim achieving moral auditing. In this employment, we design the stoppage of moral auditing and win de-duplication on dwarf data. Specifically, determined achieving both data principle and de-duplication in cloud, we propose two secure systems, namely Sec-Cloud and Sec-Cloud. SecCloud introduces an auditing entity by the whole of maintenance of a Map Reduce cloud, which helps clients arouse data tags once uploading as abundantly as audit the integrity of data having been collected in cloud. Compared mutually previous function, the computation by addict in Sec-Cloud is profoundly reduced around the file uploading and auditing phases. Sec-Cloud is designed motivated by the rundown that customers eternally want to encrypt their data earlier uploading, and enables integrity auditing and achieve de-duplication on encrypted data. Cloud storage systems are becoming increasingly popular. A promising technology that keeps their cost down is deduplication.More specifically, an attacker who knows the hash signature of a file can convince the storage service that it owns that file; hence the server lets the attacker download the entire file. .Data security is also challenge in the cloud server.
EARLIER¶0
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
LATER¶7-11
convergent encryption for securing deduplication, Keelveedhi et al. [4] designed the Dupless system anywhere clients encrypt under file-based keys derived from a key server via an oblivious pseudorandom function protocol. As stated before, all the works illustrated above considers either integrity auditing or deduplication, while in this paper, we attempt to solve both problems simultaneously. Additionally, it's worth noting that our work is additionally distinguished with [2] that audits cloud knowledge with deduplication, as we have a tendency to additionally envisage to 1) source the computation of tag generation, 2) audit and DE duplicate encrypted knowledge within the planned protocols. III. SYSTEM MODEL 1. User: It is nothing but cloud clientswhen a client wants to store a huge data they rely on cloud for maintenance and computation 2. Cloud server: It virtualizes theresources based on the client’s requirements and expose them as storage pools 3. Auditors: Which helps clients to upload and maintains their data and acts like a certificate authority. Auditor is associated with pair of public and private keys and public key is made available. Fig: System architecture IV. PROPOSED WORK In this project, aiming at achieving data integrity and deduplication in cloud, we propose two secure systems namely SecCloud and SecCloud+.SecCloud introduces an auditing entity with maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit integrity of data having been stored in cloud.Besides supporting integrity auditing and secure deduplication, SecCloud+ enables the guarantee of file confidentiality.We propose a method of directly auditing integrity on encrypted data. www.ijaems.com Page | 357 V. PERORMANCE EVALUTION Fig: Performance Analysis In this performance analysis graph we show the relationship between the files and their time to upload in server. In this above graph, we consider the size of the file on x-axis and time on y-axis from 0 to infinity these values will change dynamically based on the time. If the file size is small the uploading time is less. If the file size is huge then it takes more amount of time to upload file into server. Based on the size of the files only the uploading time will be depended. VI. CONCLUSION We are focusing to achieve both data integrity and data de-duplication in cloud, we propose SecCloud and SecCloud+. SecCloud introduce an auditing entity with maintenance of a Map Reduce cloud, which helps the clients to generate data tags before uploading and audit the integrity of data having been stored in cloud. In addition, SecCloud enables secure de-duplication by introducing a Proof of Ownership protocol (POP) and preventing the leakage of side channel information in deduplication. We compared with the existing work; the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. Sec - Cloud+ is an advanced construction motivated by the fact that customers always want their data to be encrypted before uploading, and allows for integrity auditing as well as secure de-duplication directly on encrypted data.
EARLIER¶0
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
LATER¶7-11
convergent encryption for securing deduplication, Keelveedhi et al. [4] designed the Dupless system anywhere clients encrypt under file-based keys derived from a key server via an oblivious pseudorandom function protocol. As stated before, all the works illustrated above considers either integrity auditing or deduplication, while in this paper, we attempt to solve both problems simultaneously. Additionally, it's worth noting that our work is additionally distinguished with [2] that audits cloud knowledge with deduplication, as we have a tendency to additionally envisage to 1) source the computation of tag generation, 2) audit and DE duplicate encrypted knowledge within the planned protocols. III. SYSTEM MODEL 1. User: It is nothing but cloud clientswhen a client wants to store a huge data they rely on cloud for maintenance and computation 2. Cloud server: It virtualizes theresources based on the client’s requirements and expose them as storage pools 3. Auditors: Which helps clients to upload and maintains their data and acts like a certificate authority. Auditor is associated with pair of public and private keys and public key is made available. Fig: System architecture IV. PROPOSED WORK In this project, aiming at achieving data integrity and deduplication in cloud, we propose two secure systems namely SecCloud and SecCloud+.SecCloud introduces an auditing entity with maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit integrity of data having been stored in cloud.Besides supporting integrity auditing and secure deduplication, SecCloud+ enables the guarantee of file confidentiality.We propose a method of directly auditing integrity on encrypted data. www.ijaems.com Page | 357 V. PERORMANCE EVALUTION Fig: Performance Analysis In this performance analysis graph we show the relationship between the files and their time to upload in server. In this above graph, we consider the size of the file on x-axis and time on y-axis from 0 to infinity these values will change dynamically based on the time. If the file size is small the uploading time is less. If the file size is huge then it takes more amount of time to upload file into server. Based on the size of the files only the uploading time will be depended. VI. CONCLUSION We are focusing to achieve both data integrity and data de-duplication in cloud, we propose SecCloud and SecCloud+. SecCloud introduce an auditing entity with maintenance of a Map Reduce cloud, which helps the clients to generate data tags before uploading and audit the integrity of data having been stored in cloud. In addition, SecCloud enables secure de-duplication by introducing a Proof of Ownership protocol (POP) and preventing the leakage of side channel information in deduplication. We compared with the existing work; the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. Sec - Cloud+ is an advanced construction motivated by the fact that customers always want their data to be encrypted before uploading, and allows for integrity auditing as well as secure de-duplication directly on encrypted data.
EARLIER¶0
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
LATER¶9-11
Fig: System architecture IV. PROPOSED WORK In this project, aiming at achieving data integrity and deduplication in cloud, we propose two secure systems namely SecCloud and SecCloud+.SecCloud introduces an auditing entity with maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit integrity of data having been stored in cloud.Besides supporting integrity auditing and secure deduplication, SecCloud+ enables the guarantee of file confidentiality.We propose a method of directly auditing integrity on encrypted data. www.ijaems.com Page | 357 V. PERORMANCE EVALUTION Fig: Performance Analysis In this performance analysis graph we show the relationship between the files and their time to upload in server. In this above graph, we consider the size of the file on x-axis and time on y-axis from 0 to infinity these values will change dynamically based on the time. If the file size is small the uploading time is less. If the file size is huge then it takes more amount of time to upload file into server. Based on the size of the files only the uploading time will be depended. VI. CONCLUSION We are focusing to achieve both data integrity and data de-duplication in cloud, we propose SecCloud and SecCloud+. SecCloud introduce an auditing entity with maintenance of a Map Reduce cloud, which helps the clients to generate data tags before uploading and audit the integrity of data having been stored in cloud. In addition, SecCloud enables secure de-duplication by introducing a Proof of Ownership protocol (POP) and preventing the leakage of side channel information in deduplication. We compared with the existing work; the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. Sec - Cloud+ is an advanced construction motivated by the fact that customers always want their data to be encrypted before uploading, and allows for integrity auditing as well as secure de-duplication directly on encrypted data.
EARLIER¶0
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
LATER¶9-11
Fig: System architecture IV. PROPOSED WORK In this project, aiming at achieving data integrity and deduplication in cloud, we propose two secure systems namely SecCloud and SecCloud+.SecCloud introduces an auditing entity with maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit integrity of data having been stored in cloud.Besides supporting integrity auditing and secure deduplication, SecCloud+ enables the guarantee of file confidentiality.We propose a method of directly auditing integrity on encrypted data. www.ijaems.com Page | 357 V. PERORMANCE EVALUTION Fig: Performance Analysis In this performance analysis graph we show the relationship between the files and their time to upload in server. In this above graph, we consider the size of the file on x-axis and time on y-axis from 0 to infinity these values will change dynamically based on the time. If the file size is small the uploading time is less. If the file size is huge then it takes more amount of time to upload file into server. Based on the size of the files only the uploading time will be depended. VI. CONCLUSION We are focusing to achieve both data integrity and data de-duplication in cloud, we propose SecCloud and SecCloud+. SecCloud introduce an auditing entity with maintenance of a Map Reduce cloud, which helps the clients to generate data tags before uploading and audit the integrity of data having been stored in cloud. In addition, SecCloud enables secure de-duplication by introducing a Proof of Ownership protocol (POP) and preventing the leakage of side channel information in deduplication. We compared with the existing work; the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. Sec - Cloud+ is an advanced construction motivated by the fact that customers always want their data to be encrypted before uploading, and allows for integrity auditing as well as secure de-duplication directly on encrypted data.