JPD1406 Enabling Data Integrity Protection in Regenerating-Coding-Based Clou...chennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/dot-net-projects/
PLEDGE: A POLICY-BASED SECURITY PROTOCOL FOR PROTECTING CONTENT ADDRESSABLE S...IJNSA Journal
In this paper we present PLEDGE, an efficient and scalable security ProtocoL for protecting fixedcontent objects in contEnt aDdressable storaGe (CAS) architEctures. PLEDGE follows an end-to-end policy-driven security approach to secure the confidentiality, integrity, and authenticity of fixed-content entities over the enterprise network links and in the nodes of the CAS device. It utilizes a customizable and configurable extensible mark-up language (XML) security policy to provide flexible, multi-level, andfine-grained encryption and hashing methodologies to fixed content CAS entities. PLEDGE secures data objects based on their content and sensitivity and highly overcomes the performance of bulk and raw encryption protocols such as the Secure Socket Layer (SSL) and the Transport Layer Security (TLS) protocols. Moreover, PLEDGE transparently stores sensitive objects encrypted (partially or totally) in the CAS storage nodes without affecting the CAS storage system operation or performance and takes into consideration the processing load, computing power, and memory capabilities of the client devices which may be constrained by limited processing power, memory resources, or network connectivity. PLEDGE complies with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) requirements and the SEC Rule 17a-4 financial standards. The protocol is implemented in a real CAS network using an EMC Centera backend storage device. The application secured by PLEDGE in the sample implementation is an X-Ray radiography scanning system in a healthcare network environment. The experimental test bed implementation conducted shows a speedup factor of three over raw encryption security mechanisms.
Bio-Cryptography Based Secured Data Replication Management in Cloud StorageIJERA Editor
Cloud computing is new way of economical and efficient storage. The single data mart storage system is a less
secure because data remain under a single data mart. This can lead to data loss due to different causes like
hacking, server failure etc. If an attacker chooses to attack a specific client, then he can aim at a fixed cloud
provider, try to have access to the client’s information. This makes an easy job of the attackers, both inside and
outside attackers get the benefit of using data mining to a great extent. Inside attackers refer to malicious
employees at a cloud provider. Thus single data mart storage architecture is the biggest security threat
concerning data mining on cloud, so in this paper present the secure replication approach that encrypt based on
biocrypt and replicate the data in distributed data mart storage system. This approach involves the encryption,
replication and storage of data
A hybrid cloud approach for secure authorized deduplicationLeMeniz Infotech
A hybrid cloud approach for secure authorized deduplication
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
JPJ1406 Distributed, Concurrent, and Independent Access to Encrypted Cloud ...chennaijp
We are good ieee java projects development center in chennai and pondicherry. We guided advanced java techonolgies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
JPD1406 Enabling Data Integrity Protection in Regenerating-Coding-Based Clou...chennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/dot-net-projects/
PLEDGE: A POLICY-BASED SECURITY PROTOCOL FOR PROTECTING CONTENT ADDRESSABLE S...IJNSA Journal
In this paper we present PLEDGE, an efficient and scalable security ProtocoL for protecting fixedcontent objects in contEnt aDdressable storaGe (CAS) architEctures. PLEDGE follows an end-to-end policy-driven security approach to secure the confidentiality, integrity, and authenticity of fixed-content entities over the enterprise network links and in the nodes of the CAS device. It utilizes a customizable and configurable extensible mark-up language (XML) security policy to provide flexible, multi-level, andfine-grained encryption and hashing methodologies to fixed content CAS entities. PLEDGE secures data objects based on their content and sensitivity and highly overcomes the performance of bulk and raw encryption protocols such as the Secure Socket Layer (SSL) and the Transport Layer Security (TLS) protocols. Moreover, PLEDGE transparently stores sensitive objects encrypted (partially or totally) in the CAS storage nodes without affecting the CAS storage system operation or performance and takes into consideration the processing load, computing power, and memory capabilities of the client devices which may be constrained by limited processing power, memory resources, or network connectivity. PLEDGE complies with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) requirements and the SEC Rule 17a-4 financial standards. The protocol is implemented in a real CAS network using an EMC Centera backend storage device. The application secured by PLEDGE in the sample implementation is an X-Ray radiography scanning system in a healthcare network environment. The experimental test bed implementation conducted shows a speedup factor of three over raw encryption security mechanisms.
Bio-Cryptography Based Secured Data Replication Management in Cloud StorageIJERA Editor
Cloud computing is new way of economical and efficient storage. The single data mart storage system is a less
secure because data remain under a single data mart. This can lead to data loss due to different causes like
hacking, server failure etc. If an attacker chooses to attack a specific client, then he can aim at a fixed cloud
provider, try to have access to the client’s information. This makes an easy job of the attackers, both inside and
outside attackers get the benefit of using data mining to a great extent. Inside attackers refer to malicious
employees at a cloud provider. Thus single data mart storage architecture is the biggest security threat
concerning data mining on cloud, so in this paper present the secure replication approach that encrypt based on
biocrypt and replicate the data in distributed data mart storage system. This approach involves the encryption,
replication and storage of data
A hybrid cloud approach for secure authorized deduplicationLeMeniz Infotech
A hybrid cloud approach for secure authorized deduplication
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
JPJ1406 Distributed, Concurrent, and Independent Access to Encrypted Cloud ...chennaijp
We are good ieee java projects development center in chennai and pondicherry. We guided advanced java techonolgies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
Providing user security guarantees in public infrastructure cloudsKamal Spring
The infrastructure cloud (IaaS) service model offers improved resource flexibility and availability, where tenants – insulated from the minutiae of hardware maintenance – rent computing resources to deploy and operate complex systems. Large-scale services running on IaaS platforms demonstrate the viability of this model; nevertheless, many organizations operating on sensitive data avoid migrating operations to IaaS platforms due to security concerns. In this paper, we describe a framework for data and operation security in IaaS, consisting of protocols for a trusted launch of virtual machines and domain-based storage protection. We continue with an extensive theoretical analysis with proofs about protocol resistance against attacks in the defined threat model. The protocols allow trust to be established by remotely attesting host platform configuration prior to launching guest virtual machines and ensure confidentiality of data in remote storage, with encryption keys maintained outside of the IaaS domain. Presented experimental results demonstrate the validity and efficiency of the proposed protocols. The framework prototype was implemented on a test bed operating a public electronic health record system, showing that the proposed protocols can be integrated into existing cloud environments.
A Hybrid Cloud Approach for Secure Authorized DeduplicationSWAMI06
Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data,
and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality
of sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before
outsourcing. To better protect data security, this paper makes the first attempt to formally address the problem of authorized data
deduplication. Different from traditional deduplication systems, the differential privileges of users are further considered in duplicate
check besides the data itself.We also present several new deduplication constructions supporting authorized duplicate check in a hybrid
cloud architecture. Security analysis demonstrates that our scheme is secure in terms of the definitions specified in the proposed
security model. As a proof of concept, we implement a prototype of our proposed authorized duplicate check scheme and conduct
testbed experiments using our prototype. We show that our proposed authorized duplicate check scheme incurs minimal overhead
compared to normal operations.
Secure cloud storage with data dynamic using secure network coding techniqueVenkat Projects
Secure cloud storage with data dynamic using secure network coding technique
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.
Improving Data Storage Security in Cloud using HadoopIJERA Editor
The rising abuse of information stored on large data centres in cloud emphasizes the need to safe guard the data. Despite adopting strict authentication policies for cloud users data while transferred over to secure channel when reaches data centres is vulnerable to numerous attacks .The most widely adoptable methodology is safeguarding the cloud data is through encryption algorithm. Encryption of large data deployed in cloud is actually a time consuming process. For the secure transmission of information AES encryption has been used which provides most secure way to transfer the sensitive information from sender to the intended receiver. The main purpose of using this technique is to make sensitive information unreadable to all other except the receiver. The data thus compressed enables utilization of storage space in cloud environment. It has been augmented with Hadoop‟s map-reduce paradigm which works in a parallel mode. The experimental results clearly reflect the effectiveness of the methodology to improve the security of data in cloud environment.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
Implementation is the stage of the project when the theoretical design is turned out into a working system. Thus it can be considered to be the most critical stage in achieving a successful new system and in giving the user, confidence that the new system will work and be effective.
The implementation stage involves careful planning, investigation of the existing system and it’s constraints on implementation, designing of methods to achieve changeover and evaluation of changeover methods.
Main Modules:-
1. User Module:
In this module, Users are having authentication and security to access the detail which is presented in the ontology system. Before accessing or searching the details user should have the account in that otherwise they should register first.
2. Secure DeDuplication System:
To support authorized deduplication, the tag of a file F will be determined by the file F and the privilege. To show the difference with traditional notation of
tag, we call it file token instead. To support authorized access, a secret key kp will be bounded with a privilege p to generate a file token. Let ϕ′ F;p = TagGen(F, kp) denote the token of F that is only allowed to access by user with privilege p. In another word, the token ϕ′ F;p could only be computed by the users with privilege p. As a result, if a file has been uploaded by a user with a duplicate token ϕ′
F;p, then a duplicate check sent from another user will be successful if and only if he also has the file F and privilege p. Such a token generation function could be
easily implemented as H(F, kp), where H(_) denotes a cryptographic hash function.
3. Security Of Duplicate Check Token :
We consider several types of privacy we need protect, that is, i) unforgeability of duplicate-check token: There are two types of adversaries, that is, external adversary and internal adversary. As shown below, the external adversary
can be viewed as an internal adversary without any privilege. If a user has privilege p, it requires that the adversary cannot forge and output a valid duplicate token with any other privilege p′ on any file F, where p does not match p′. Furthermore, it also requires that if the adversary does not make a request of token with its own privilege from private cloud server, it cannot forge and output a valid duplicate token with p on any F that has been queried.
4. Send Key:
Once the key request was received, the sender can send the key or he can decline it. With this key and request id which was generated at the time of sending key request the receiver can decrypt the message.
Providing user security guarantees in public infrastructure cloudsKamal Spring
The infrastructure cloud (IaaS) service model offers improved resource flexibility and availability, where tenants – insulated from the minutiae of hardware maintenance – rent computing resources to deploy and operate complex systems. Large-scale services running on IaaS platforms demonstrate the viability of this model; nevertheless, many organizations operating on sensitive data avoid migrating operations to IaaS platforms due to security concerns. In this paper, we describe a framework for data and operation security in IaaS, consisting of protocols for a trusted launch of virtual machines and domain-based storage protection. We continue with an extensive theoretical analysis with proofs about protocol resistance against attacks in the defined threat model. The protocols allow trust to be established by remotely attesting host platform configuration prior to launching guest virtual machines and ensure confidentiality of data in remote storage, with encryption keys maintained outside of the IaaS domain. Presented experimental results demonstrate the validity and efficiency of the proposed protocols. The framework prototype was implemented on a test bed operating a public electronic health record system, showing that the proposed protocols can be integrated into existing cloud environments.
A Hybrid Cloud Approach for Secure Authorized DeduplicationSWAMI06
Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data,
and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality
of sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before
outsourcing. To better protect data security, this paper makes the first attempt to formally address the problem of authorized data
deduplication. Different from traditional deduplication systems, the differential privileges of users are further considered in duplicate
check besides the data itself.We also present several new deduplication constructions supporting authorized duplicate check in a hybrid
cloud architecture. Security analysis demonstrates that our scheme is secure in terms of the definitions specified in the proposed
security model. As a proof of concept, we implement a prototype of our proposed authorized duplicate check scheme and conduct
testbed experiments using our prototype. We show that our proposed authorized duplicate check scheme incurs minimal overhead
compared to normal operations.
Secure cloud storage with data dynamic using secure network coding techniqueVenkat Projects
Secure cloud storage with data dynamic using secure network coding technique
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.
Improving Data Storage Security in Cloud using HadoopIJERA Editor
The rising abuse of information stored on large data centres in cloud emphasizes the need to safe guard the data. Despite adopting strict authentication policies for cloud users data while transferred over to secure channel when reaches data centres is vulnerable to numerous attacks .The most widely adoptable methodology is safeguarding the cloud data is through encryption algorithm. Encryption of large data deployed in cloud is actually a time consuming process. For the secure transmission of information AES encryption has been used which provides most secure way to transfer the sensitive information from sender to the intended receiver. The main purpose of using this technique is to make sensitive information unreadable to all other except the receiver. The data thus compressed enables utilization of storage space in cloud environment. It has been augmented with Hadoop‟s map-reduce paradigm which works in a parallel mode. The experimental results clearly reflect the effectiveness of the methodology to improve the security of data in cloud environment.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
Implementation is the stage of the project when the theoretical design is turned out into a working system. Thus it can be considered to be the most critical stage in achieving a successful new system and in giving the user, confidence that the new system will work and be effective.
The implementation stage involves careful planning, investigation of the existing system and it’s constraints on implementation, designing of methods to achieve changeover and evaluation of changeover methods.
Main Modules:-
1. User Module:
In this module, Users are having authentication and security to access the detail which is presented in the ontology system. Before accessing or searching the details user should have the account in that otherwise they should register first.
2. Secure DeDuplication System:
To support authorized deduplication, the tag of a file F will be determined by the file F and the privilege. To show the difference with traditional notation of
tag, we call it file token instead. To support authorized access, a secret key kp will be bounded with a privilege p to generate a file token. Let ϕ′ F;p = TagGen(F, kp) denote the token of F that is only allowed to access by user with privilege p. In another word, the token ϕ′ F;p could only be computed by the users with privilege p. As a result, if a file has been uploaded by a user with a duplicate token ϕ′
F;p, then a duplicate check sent from another user will be successful if and only if he also has the file F and privilege p. Such a token generation function could be
easily implemented as H(F, kp), where H(_) denotes a cryptographic hash function.
3. Security Of Duplicate Check Token :
We consider several types of privacy we need protect, that is, i) unforgeability of duplicate-check token: There are two types of adversaries, that is, external adversary and internal adversary. As shown below, the external adversary
can be viewed as an internal adversary without any privilege. If a user has privilege p, it requires that the adversary cannot forge and output a valid duplicate token with any other privilege p′ on any file F, where p does not match p′. Furthermore, it also requires that if the adversary does not make a request of token with its own privilege from private cloud server, it cannot forge and output a valid duplicate token with p on any F that has been queried.
4. Send Key:
Once the key request was received, the sender can send the key or he can decline it. With this key and request id which was generated at the time of sending key request the receiver can decrypt the message.
Titles with Abstracts_2023-2024_Cloud Computing.pdfinfo751436
Engaging in cloud computing domain projects can provide numerous advantages, as cloud technology continues to transform the way businesses operate and deliver services. Here are some key advantages of working on cloud computing projects:
Scalability: Cloud computing allows for easy scalability, enabling organizations to scale their resources up or down based on demand. This ensures that they only pay for the resources they actually use, optimizing costs.
Cost Efficiency: Cloud computing eliminates the need for upfront infrastructure investment and the maintenance of physical servers. This can lead to significant cost savings, especially for smaller businesses or startups with limited capital.
Flexibility and Agility: Cloud services provide flexibility in terms of deployment options, programming languages, and frameworks. This agility allows developers to experiment with new ideas and bring products to market more quickly.
Global Reach: Cloud services are typically offered through a network of data centers located around the world. This enables organizations to provide services globally with low latency and high availability.
Resource Optimization: Cloud platforms offer tools for optimizing resource usage, such as automatic scaling, load balancing, and serverless computing. This ensures that resources are allocated efficiently, improving overall performance.
Security and Compliance: Leading cloud service providers invest heavily in security measures, including data encryption, identity and access management, and regular security audits. Leveraging cloud services can enhance the overall security posture of an organization.
Collaboration and Remote Work: Cloud computing facilitates collaboration among team members, allowing them to access and work on shared resources from anywhere with an internet connection. This is particularly valuable for remote or distributed teams.
Disaster Recovery and Business Continuity: Cloud services provide robust disaster recovery options, including backup and data replication. This ensures that organizations can quickly recover from data loss or system failures, contributing to business continuity.
Automatic Updates and Maintenance: Cloud service providers handle infrastructure maintenance, updates, and patching. This frees up IT teams from routine tasks, allowing them to focus on strategic initiatives and innovation.
Innovation Acceleration: Cloud computing provides access to a wide range of cutting-edge technologies, such as artificial intelligence, machine learning, and Internet of Things (IoT). Organizations can leverage these technologies to drive innovation in their products and services.
Elasticity: Cloud services offer elasticity, allowing organizations to dynamically adjust their computing resources to match changing workloads. This ensures optimal performance during peak demand periods.
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces database and application software to the large data centres, where the management of services and data may not be predictable, where as the conventional solutions, for IT services are under proper logical, physical and personal controls. This aspect attribute, however comprises different security challenges which have not been well understood. It concentrates on cloud data storage security which has always been an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent features. Homomorphic token is used for distributed verification of erasure – coded data. By using this scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and secure dynamic operations on data blocks such as data insertion, deletion and modification. 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 centres, where the data management and services may not be absolutely truthful. This effective security and performance analysis describes that the proposed scheme is extremely flexible against malicious data modification, convoluted failures and server clouding attacks.
DISTRIBUTED SCHEME TO AUTHENTICATE DATA STORAGE SECURITY IN CLOUD COMPUTINGijcsit
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces
database and application software to the large data centres, where the management of services and data
may not be predictable, where as the conventional solutions, for IT services are under proper logical,
physical and personal controls. This aspect attribute, however comprises different security challenges
which have not been well understood. It concentrates on cloud data storage security which has always been
an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and
efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent
features. Homomorphic token is used for distributed verification of erasure – coded data. By using this
scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and
secure dynamic operations on data blocks such as data insertion, deletion and modification. 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 centres, where the data
management and services may not be absolutely truthful. This effective security and performance analysis
describes that the proposed scheme is extremely flexible against malicious data modification, convoluted
failures and server clouding attacks.
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces database and application software to the large data centres, where the management of services and data may not be predictable, where as the conventional solutions, for IT services are under proper logical, physical and personal controls. This aspect attribute, however comprises different security challenges which have not been well understood. It concentrates on cloud data storage security which has always been an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent features. Homomorphic token is used for distributed verification of erasure – coded data. By using this scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and secure dynamic operations on data blocks such as data insertion, deletion and modification. 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 centres, where the data management and services may not be absolutely truthful. This effective security and performance analysis describes that the proposed scheme is extremely flexible against malicious data modification, convoluted failures and server clouding attacks.
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Privacy-Preserving Public Auditing for Regenerating-Code-Based Cloud Storage1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
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Final Year students of
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2. BCA/B.E(C.S)
3. B.Tech IT
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6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
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3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
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Phone : +91 97518 00789 / +91 72999 51536
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Effective & Flexible Cryptography Based Scheme for Ensuring User`s Data Secur...ijsrd.com
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. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality of service. To ensure the correctness of users' data in the cloud, we propose an effective and flexible cryptography based scheme. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against malicious data modification attack.
A Study of A Method To Provide Minimized Bandwidth Consumption Using Regenera...IJERA Editor
Cloud storage systems to protect data from corruptions, redundant data to tolerate failures of storage and lost data should be repaired when storage fails. Regenerating codes provide fault tolerance by striping data across multiple servers, while using less repair traffic than traditional erasure codes during failure recovery. In previous research implemented practical Data Integrity Protection (DIP) scheme for regenerating-coding based cloud storage. Functional Minimum-Storage Regenerating (FMSR) codes and it construct FMSR-DIP codes, which allow clients to remotely verify the integrity of random subsets of long-term archival data under a multi server setting. The problem is to optimize bandwidth consumption when repairing multiple failures. The cooperative repair of multiple failures can help to further save bandwidth consumption when multiple failures are being repaired.
Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...Editor IJMTER
The advent of cloud computing, data owners are motivated to outsource their complex
data management systems from local sites to commercial public cloud for great flexibility and
economic savings. But for protecting data privacy, sensitive data has to be encrypted before
outsourcing.Considering the large number of data users and documents in cloud, it is crucial for
the search service to allow multi-keyword query and provide result similarity ranking to meet the
effective data retrieval need. Related works on searchable encryption focus on single keyword
search or Boolean keyword search, and rarely differentiate the search results. We first propose a
basic MRSE scheme using secure inner product computation, and then significantly improve it to
meet different privacy requirements in two levels of threat models. The Incremental High Utility
Pattern Transaction Frequency Tree (IHUPTF-Tree) is designed according to the transaction
frequency (descending order) of items to obtain a compact tree.
By using high utility pattern the items can be arranged in an efficient manner. Tree structure
is used to sort the items. Thus the items are sorted and frequent pattern is obtained. The frequent
pattern items are retrieved from the database by using hybrid tree (H-Tree) structure. So the
execution time becomes faster. Finally, the frequent pattern item that satisfies the threshold value
is displayed.
Provable Multicopy Dynamic Data Possession in Cloud Computing Systems1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
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Authors:
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-Shweta Ambekar
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-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
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Introduction:
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Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
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Conclusion and Future Work:
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enabling data integrity protection in regenerating-coding-based cloud storage theory and implementation
1. Enabling Data Integrity Protection in Regenerating-Coding-Based Cloud Storage Theory
and Implementation
Enabling Data Integrity Protection in Regenerating-Coding-Based Cloud
Storage: Theory and Implementation
Contact: 9703109334, 9533694296
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
ABSTRACT
To protect outsourced data in cloud storage against corruptions, adding fault tolerance to cloud
storage, along with efficient data integrity checking and recovery procedures, becomes critical.
Regenerating codes provide fault tolerance by striping data across multiple servers, while using
less repair traffic than traditional erasure codes during failure recovery. Therefore, we study the
problem of remotely checking the integrity of regenerating-coded data against corruptions under
a real- life cloud storage setting. We design and implement a practical data integrity protection
(DIP) scheme for a specific regenerating code, while preserving its intrinsic properties of fault
tolerance and repair-traffic saving. Our DIP scheme is designed under a mobile Byzantine
adversarial model, and enables a client to feasibly verify the integrity of random subsets of
outsourced data against general or malicious corruptions. It works under the simple assumption
of thin-cloud storage and allows different parameters to be fine-tuned for a performance-security
trade-off. We implement and evaluate the overhead of our DIP scheme in a real cloud storage
testbed under different parameter choices. We further analyze the security strengths of our DIP
scheme via mathematical models. We demonstrate that remote integrity checking can be feasibly
integrated into regenerating codes in practical deployment.
EXISTING SYSTEM:
The problem of checking the integrity of static data, which is typical in long-term
archival storage system is considered. This problem is first considered under a single-server
scenario by Juels and Kaliski and Ateniese et al, giving rise to the similar notions
POR and PDP, respectively.
The existing system design extends the single-server compact POR scheme for
regenerating-coded storage.
HAIL system, which stores data via erasure coding. HAIL operates on a per- file basis and
it is nontrivial to directly apply HAIL to regenerating codes.
2. Enabling Data Integrity Protection in Regenerating-Coding-Based Cloud Storage Theory
and Implementation
DISADVANTAGES OF EXISTING SYSTEM:
A major limitation in the existing system is that they are designed for a single-server
Efficient data integrity checking has been proposed for different redundancy
schemes, such as replication erasure coding and regenerating coding.
A large storage overhead, as the amount of data stored increases with a more
flexible checking granularity
The storage servers have encoding capabilities for generating encoded data.
The aim of our proposed system is to protect outsourced data in cloud storage against
corruptions, adding fault tolerance to cloud storage, along with efficient data integrity
checking and recovery procedures, becomes critical.
Regenerating codes provide fault tolerance by striping data across multiple servers, while
using less repair traffic than traditional erasure codes during failure recovery. We design
and implement a practical data integrity protection (DIP) scheme for a specific
regenerating code, while preserving its intrinsic properties of fault tolerance and repair-traffic
Our DIP scheme is designed under a mobile Byzantine adversarial model, and enables a
client to feasibly verify the integrity of random subsets of outsourced data against general
or malicious corruptions. It works under the simple assumption of thin-cloud storage and
allows different parameters to be fine-tuned for a performance-security trade-off.
We further analyze the security strengths of our DIP scheme via mathematical models.
We demonstrate that remote integrity checking can be feasibly integrated into
regenerating codes in practical deployment.
Contact: 9703109334, 9533694296
setting.
PROPOSED SYSTEM:
saving.
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
3. Enabling Data Integrity Protection in Regenerating-Coding-Based Cloud Storage Theory
and Implementation
ADVANTAGES OF PROPOSED SYSTEM:
By striping redundant data across multiple servers, the original files can still be recovered
from a subset of servers even if some servers are down or compromised.
A thin-cloud setting is used where servers only need to support standard read/write
functionalities for portability and simplicity.
Different parameters can be adjusted for the performance-security trade-off.
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.
SOFTWARE REQUIREMENTS:
Operating system : Windows XP/7.
Coding Language : ASP.net, C#.net
Tool : Visual Studio 2010
Database : SQL SERVER 2008
Henry C.H. Chen and Patrick P.C. Lee.”Enabling Data Integrity Protection in Regenerating-
Coding-Based Cloud Storage: Theory and Implementation”.IEEE TRANSACTIONS ON
PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25, NO. 2, FEBRUARY 2014
Contact: 9703109334, 9533694296
REFERENCE:
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in