identity-based distributed provable data possession in multi-cloud storage

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LOGIC SYSTEMS 1st Floor, Reddy Comlex, Opp. SPencers, Near Satyam Theatre, Ameerpet, Hyderabad 9533694296,9703109334 logicsystemsprojects@gmail.com www.logicsystems.org.in

Engineering

Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage
Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage
ABSTRACT
Remote data integrity checking is of crucial importance in cloud storage. It can make the clients
verify whether their outsourced data is kept intact without downloading the whole data. In some
application scenarios, the clients have to store their data on multi-cloud servers. At the same
time, the integrity checking protocol must be efficient in order to save the verifier’s cost. From
the two points, we propose a novel remote data integrity checking model: ID-DPDP (identity-based
distributed provable data possession) in multi-cloud storage. The formal system model and
security model are given. Based on the bilinear pairings, a concrete ID-DPDP protocol is
designed. The proposed ID-DPDP protocol is provably secure under the hardness assumption of
the standard CDH (computational DiffieHellman) problem. In addition to the structural
advantage of elimination of certificate management, our ID-DPDP protocol is also efficient and
flexible. Based on the client’s authorization, the proposed ID-DPDP protocol can realize private
verification, delegated verification and public verification.
In cloud computing, remote data integrity checking is an important security problem. The
clients’ massive data is outside his control. The malicious cloud server may corrupt the clients’
data in order to gain more benefits. The formal system model and security model are existing
models.
In the PDP model, the verifier can check remote data integrity with a high probability.
Based on the RSA, they designed two provably secure PDP schemes. PDP allows a verifier to
verify the remote data integrity without retrieving or downloading the whole data. It is a
probabilistic proof of possession by sampling random set of blocks from the server, which
drastically reduces I/O costs. The verifier only maintains small metadata to perform the integrity
checking. PDP is an interesting remote data integrity checking model.
In POR, the verifier can check the remote data integrity and retrieve the remote data at
any time. On some cases, the client may delegate the remote data integrity checking task to the
third party. It results in the third party auditing in cloud computing
Contact: 9703109334, 9533694296
EXISTING SYSTEM:
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in

Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage
DISADVANTAGES OF EXISTING SYSTEM:
 Does not provide efficiency in remote data integrity checking.
 More expensive.
 The existing system provides less flexibility.
Remote data integrity checking is of crucial importance in cloud storage. In multi-cloud
environment, distributed provable data possession is an important element to secure the remote
data. we propose a novel remote data integrity checking model: ID-DPDP (identity-based
distributed provable data possession) in multi-cloud storage. The proposed ID-DPDP protocol is
provably secure under the hardness assumption of the standard CDH (computational Diffi
Hellman) problem. The proposed ID-DPDP protocol can realize private verification, delegated
verification and public verification.
ADVANTAGES OF PROPOSED SYSTEM:
 The distributed cloud storage is indispensable.
 Elimination of the certificate management.
Contact: 9703109334, 9533694296
PROPOSED SYSTEM:
 Efficient and Flexible.
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in

Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage
SYSTEM ARCHITECTURE:
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
 System : Pentium IV 2.4 GHz.
 Hard Disk : 40 GB.
 Floppy Drive : 1.44 Mb.
 Monitor : 15 VGA Colour.
 Mouse : Logitech.
 Ram : 512 Mb.
Contact: 9703109334, 9533694296
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in

Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage
SOFTWARE REQUIREMENTS:
 Operating system : Windows XP/7.
 Coding Language : ASP.net, C#.net
 Tool : Visual Studio 2010
 Database : SQL SERVER 2008
“Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage”, IEEE
Transactions on Services Computing, 2014.
Contact: 9703109334, 9533694296
REFERENCE:
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in

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Omar Fathy

Welcome to the April edition of WIPAC Monthly, the magazine brought to you by Water Industry Process Automation & Control. In this month's edition, along with the latest news from the industry we have articles on: The use of artificial intelligence and self-service platforms to improve water sustainability A feature article on measuring wastewater spills An article on the National Underground Asset Register Have a good month, Oliver

Water Industry Process Automation & Control Monthly - April 2024

Water Industry Process Automation & Control

A Study of Urban Area Plan for Pabna Municipality

Morshed Ahmed Rahath

N-Grade deals with the maintenance of university, department, faculty, student information within the university. N-Grade is an automation system, which is used to store the department, faculty, student, courses and information of a university. Starting from registration of a new student in the university, it maintains all the details regarding the attendance and marks of the students. The project deals with retrieval of information through an INTRANET based campus wide portal. It collects related information from all the departments of an organization and maintains files, which are used to generate reports in various forms to measure individual and overall performance of the students.

University management System project report..pdf

Kamal Acharya

data_management_and _data_science_cheat_sheet.pdf

JiananWang21

Rule 1 − Check for the blocks connected in series and simplify. Rule 2 − Check for the blocks connected in parallel and simplify. Rule 3 − Check for the blocks connected in feedback loop and simplify. Rule 4 − If there is difficulty with take-off point while simplifying, shift it towards right. Rule 5 − If there is difficulty with summing point while simplifying, shift it towards left. Rule 6 − Repeat the above steps till you get the simplified form, i.e., single block.

Block diagram reduction techniques in control systems.ppt

NANDHAKUMARA10

ONLINE FOOD ORDER SYSTEM is a website designed primarily for use in the food delivery industry. This system will allow hotels and restaurants to increase scope of business by reducing the labor cost involved. The system also allows to quickly and easily manage an online menu which customers can browse and use to place orders with just few clicks. Restaurant employees then use these orders through an easy to navigate graphical interface for efficient processing.

ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf

Kamal Acharya

STEAM NOZZLES AND TURBINES Flow of steam through nozzles, shapes of nozzles, effect of friction, critical pressure ratio, supersaturated flow - impulse and reaction principles, velocity diagram, work done and efficiency – types of compounding - governors. AIR COMPRESSORS Classification - working principle - type of compressors, work of compression with and without clearance - volumetric efficiency - isothermal and isentropic efficiency of reciprocating compressors - multistage air compressor with inter cooling.

Thermal Engineering -unit - III & IV.ppt

DineshKumar4165

Generative AI or GenAI technology based PPT

bhaskargani46

Unit 1 - Soil Classification and Compaction.pdf

RagavanV2

Unit 2- Effective stress & Permeability.pdf

RagavanV2

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Introduction to Serverless with AWS Lambda

Water Industry Process Automation & Control Monthly - April 2024

A Study of Urban Area Plan for Pabna Municipality

University management System project report..pdf

data_management_and _data_science_cheat_sheet.pdf

Block diagram reduction techniques in control systems.ppt

ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf

Thermal Engineering -unit - III & IV.ppt

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Unit 1 - Soil Classification and Compaction.pdf

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identity-based distributed provable data possession in multi-cloud storage

1. Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage ABSTRACT Remote data integrity checking is of crucial importance in cloud storage. It can make the clients verify whether their outsourced data is kept intact without downloading the whole data. In some application scenarios, the clients have to store their data on multi-cloud servers. At the same time, the integrity checking protocol must be efficient in order to save the verifier’s cost. From the two points, we propose a novel remote data integrity checking model: ID-DPDP (identity-based distributed provable data possession) in multi-cloud storage. The formal system model and security model are given. Based on the bilinear pairings, a concrete ID-DPDP protocol is designed. The proposed ID-DPDP protocol is provably secure under the hardness assumption of the standard CDH (computational DiffieHellman) problem. In addition to the structural advantage of elimination of certificate management, our ID-DPDP protocol is also efficient and flexible. Based on the client’s authorization, the proposed ID-DPDP protocol can realize private verification, delegated verification and public verification. In cloud computing, remote data integrity checking is an important security problem. The clients’ massive data is outside his control. The malicious cloud server may corrupt the clients’ data in order to gain more benefits. The formal system model and security model are existing models. In the PDP model, the verifier can check remote data integrity with a high probability. Based on the RSA, they designed two provably secure PDP schemes. PDP allows a verifier to verify the remote data integrity without retrieving or downloading the whole data. It is a probabilistic proof of possession by sampling random set of blocks from the server, which drastically reduces I/O costs. The verifier only maintains small metadata to perform the integrity checking. PDP is an interesting remote data integrity checking model. In POR, the verifier can check the remote data integrity and retrieve the remote data at any time. On some cases, the client may delegate the remote data integrity checking task to the third party. It results in the third party auditing in cloud computing Contact: 9703109334, 9533694296 EXISTING SYSTEM: Email id: academicliveprojects@gmail.com, www.logicsystems.org.in

2. Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage DISADVANTAGES OF EXISTING SYSTEM:  Does not provide efficiency in remote data integrity checking.  More expensive.  The existing system provides less flexibility. Remote data integrity checking is of crucial importance in cloud storage. In multi-cloud environment, distributed provable data possession is an important element to secure the remote data. we propose a novel remote data integrity checking model: ID-DPDP (identity-based distributed provable data possession) in multi-cloud storage. The proposed ID-DPDP protocol is provably secure under the hardness assumption of the standard CDH (computational Diffi Hellman) problem. The proposed ID-DPDP protocol can realize private verification, delegated verification and public verification. ADVANTAGES OF PROPOSED SYSTEM:  The distributed cloud storage is indispensable.  Elimination of the certificate management. Contact: 9703109334, 9533694296 PROPOSED SYSTEM:  Efficient and Flexible. Email id: academicliveprojects@gmail.com, www.logicsystems.org.in

3. Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage SYSTEM ARCHITECTURE: SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:  System : Pentium IV 2.4 GHz.  Hard Disk : 40 GB.  Floppy Drive : 1.44 Mb.  Monitor : 15 VGA Colour.  Mouse : Logitech.  Ram : 512 Mb. Contact: 9703109334, 9533694296 Email id: academicliveprojects@gmail.com, www.logicsystems.org.in

4. Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage SOFTWARE REQUIREMENTS:  Operating system : Windows XP/7.  Coding Language : ASP.net, C#.net  Tool : Visual Studio 2010  Database : SQL SERVER 2008 “Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage”, IEEE Transactions on Services Computing, 2014. Contact: 9703109334, 9533694296 REFERENCE: Email id: academicliveprojects@gmail.com, www.logicsystems.org.in

identity-based distributed provable data possession in multi-cloud storage

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