This document describes Wise Store, a new model for organizing file metadata in large-scale distributed storage systems. Wise Store uses semantic grouping to organize metadata in a decentralized manner, constructing a semantic R-tree across storage units. This improves scalability and supports efficient composite queries like range, top-k, and search queries. Wise Store reduces query latency for these advanced metadata queries in systems with billions of files and exabytes of storage. It also enhances security using RSA encryption of metadata.
An Efficient PDP Scheme for Distributed Cloud StorageIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Securely Data Forwarding and Maintaining Reliability of Data in Cloud ComputingIJERA Editor
Cloud works as an online storage servers and provides long term storage services over the internet. It is like a third party in whom we can store a data so they need data confidentiality, robustness and functionality. Encryption and encoding methods are used to solve such problems. After that divide proxy re-encryption scheme and integrating it with a decentralized erasure code such that a secure distributed storage system is formulated. The distributed storage system not only supports secure, robust data storage and retrieval but also lets the user forward his data to another user without retrieving the data. A concept of backup in same server allows users to retrieve failure data successfully in the storage server and also forward to another user without retrieving the data back. This is an attempt to provide light-weight approach which protects data access in distributed storage servers. User can implement all important concept i.e. Confidentiality for security, Robustness for healthy data, Reliability for flexible data, Availability for compulsory data will be achieved to another user which is store in cloud and easily overcome problem of “Securely data forwarding and maintaining, reliability of data in cloud computing “using different type of Methodology and Technology.
Dynamic Metadata Management in Semantic File SystemsIJERA Editor
The progression in data capacity and difficulty inflicts great challenges for file systems. To address these contests, an inventive namespace management scheme is in distracted need to deliver both the ease and competence of data access. For scalability, each server makes only local, autonomous decisions about relocation for load balancing. Associative access is provided by a traditional extension to present tree-structured file system conventions, and by protocols that are intended specifically for content based access.Rapid attribute-based accesstofile system contents is fulfilled by instinctive extraction and indexing of key properties of file system objects. The programmed indexing of files and calendars is called “semantic” because user programmable transducers use data about the semantics of efficient file system objects to extract the properties for indexing. Tentative results from a semantic file system execution support the thesis that semantic file systems present a more active storage abstraction than do traditional tree planned file systems for data sharing and command level programming. Semantic file system is executed as a middleware in predictable file systems and works orthogonally with categorized directory trees. The semantic relationships and file groups recognized in file systems can also be used to facilitate file prefetching among other system-level optimizations. All-encompassing trace-driven experiments on our sample implementation validate the efficiency and competence.
Methodology for Optimizing Storage on Cloud Using Authorized De-Duplication –...IRJET Journal
This document summarizes a research paper that proposes a methodology for optimizing storage on the cloud using authorized de-duplication. It discusses how de-duplication works to eliminate duplicate data and optimize storage. The key steps are chunking files into blocks, applying secure hash algorithms like SHA-512 to generate unique hashes for each block, and comparing hashes to reference duplicate blocks instead of storing multiple copies. It also discusses using cryptographic techniques like ciphertext-policy attribute-based encryption for authentication and security on public clouds. The proposed approach aims to optimize storage while providing authorized de-duplication functionality.
Privacy Preserved Distributed Data Sharing with Load Balancing SchemeEditor IJMTER
Data sharing services are provided under the Peer to Peer (P2P) environment. Federated
database technology is used to manage locally stored data with a federated DBMS and provide unified
data access. Information brokering systems (IBSs) are used to connect large-scale loosely federated data
sources via a brokering overlay. Information brokers redirect the client queries to the requested data
servers. Privacy preserving methods are used to protect the data location and data consumer. Brokers are
trusted to adopt server-side access control for data confidentiality. Query and access control rules are
maintained with shared data details under metadata. A Semantic-aware index mechanism is applied to
route the queries based on their content and allow users to submit queries without data or server
information.
Distributed data sharing is managed with Privacy Preserved Information Brokering (PPIB)
scheme. Attribute-correlation attack and inference attacks are handled by the PPIB. PPIB overlay
infrastructure consisting of two types of brokering components, brokers and coordinators. The brokers
acts as mix anonymizer are responsible for user authentication and query forwarding. The coordinators
concatenated in a tree structure, enforce access control and query routing based on the automata.
Automata segmentation and query segment encryption schemes are used in the Privacy-preserving
Query Brokering (QBroker). Automaton segmentation scheme is used to logically divide the global
automaton into multiple independent segments. The query segment encryption scheme consists of the
preencryption and postencryption modules.
The PPIB scheme is enhanced to support dynamic site distribution and load balancing
mechanism. Peer workloads and trust level of each peer are integrated with the site distribution process.
The PPIB is improved to adopt self reconfigurable mechanism. Automated decision support system for
administrators is included in the PPIB.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
Vinod Chachra discussed improving discovery systems through post-processing harvested data. He outlined key players like data providers, service providers, and users. The harvesting, enrichment, and indexing processes were described. Facets, knowledge bases, and branding were discussed as ways to enhance discovery. Chachra concluded that progress has been made but more work is needed, and data and service providers should collaborate on standards.
Enhancing access privacy of range retrievals over b+treesMigrant Systems
The document proposes a new index structure called PB+tree to enhance privacy for range queries over encrypted B+trees. It first shows that an adversary can infer the structure of an encrypted B+tree and query ranges by observing I/O patterns of range queries. PB+tree aims to conceal the ordering of leaf nodes by grouping nodes into buckets and using homomorphic encryption to obscure which exact nodes are retrieved. It balances privacy with computational overhead. Experiments show PB+tree effectively impairs the adversary's ability to deduce the B+tree structure and query ranges.
An Efficient PDP Scheme for Distributed Cloud StorageIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Securely Data Forwarding and Maintaining Reliability of Data in Cloud ComputingIJERA Editor
Cloud works as an online storage servers and provides long term storage services over the internet. It is like a third party in whom we can store a data so they need data confidentiality, robustness and functionality. Encryption and encoding methods are used to solve such problems. After that divide proxy re-encryption scheme and integrating it with a decentralized erasure code such that a secure distributed storage system is formulated. The distributed storage system not only supports secure, robust data storage and retrieval but also lets the user forward his data to another user without retrieving the data. A concept of backup in same server allows users to retrieve failure data successfully in the storage server and also forward to another user without retrieving the data back. This is an attempt to provide light-weight approach which protects data access in distributed storage servers. User can implement all important concept i.e. Confidentiality for security, Robustness for healthy data, Reliability for flexible data, Availability for compulsory data will be achieved to another user which is store in cloud and easily overcome problem of “Securely data forwarding and maintaining, reliability of data in cloud computing “using different type of Methodology and Technology.
Dynamic Metadata Management in Semantic File SystemsIJERA Editor
The progression in data capacity and difficulty inflicts great challenges for file systems. To address these contests, an inventive namespace management scheme is in distracted need to deliver both the ease and competence of data access. For scalability, each server makes only local, autonomous decisions about relocation for load balancing. Associative access is provided by a traditional extension to present tree-structured file system conventions, and by protocols that are intended specifically for content based access.Rapid attribute-based accesstofile system contents is fulfilled by instinctive extraction and indexing of key properties of file system objects. The programmed indexing of files and calendars is called “semantic” because user programmable transducers use data about the semantics of efficient file system objects to extract the properties for indexing. Tentative results from a semantic file system execution support the thesis that semantic file systems present a more active storage abstraction than do traditional tree planned file systems for data sharing and command level programming. Semantic file system is executed as a middleware in predictable file systems and works orthogonally with categorized directory trees. The semantic relationships and file groups recognized in file systems can also be used to facilitate file prefetching among other system-level optimizations. All-encompassing trace-driven experiments on our sample implementation validate the efficiency and competence.
Methodology for Optimizing Storage on Cloud Using Authorized De-Duplication –...IRJET Journal
This document summarizes a research paper that proposes a methodology for optimizing storage on the cloud using authorized de-duplication. It discusses how de-duplication works to eliminate duplicate data and optimize storage. The key steps are chunking files into blocks, applying secure hash algorithms like SHA-512 to generate unique hashes for each block, and comparing hashes to reference duplicate blocks instead of storing multiple copies. It also discusses using cryptographic techniques like ciphertext-policy attribute-based encryption for authentication and security on public clouds. The proposed approach aims to optimize storage while providing authorized de-duplication functionality.
Privacy Preserved Distributed Data Sharing with Load Balancing SchemeEditor IJMTER
Data sharing services are provided under the Peer to Peer (P2P) environment. Federated
database technology is used to manage locally stored data with a federated DBMS and provide unified
data access. Information brokering systems (IBSs) are used to connect large-scale loosely federated data
sources via a brokering overlay. Information brokers redirect the client queries to the requested data
servers. Privacy preserving methods are used to protect the data location and data consumer. Brokers are
trusted to adopt server-side access control for data confidentiality. Query and access control rules are
maintained with shared data details under metadata. A Semantic-aware index mechanism is applied to
route the queries based on their content and allow users to submit queries without data or server
information.
Distributed data sharing is managed with Privacy Preserved Information Brokering (PPIB)
scheme. Attribute-correlation attack and inference attacks are handled by the PPIB. PPIB overlay
infrastructure consisting of two types of brokering components, brokers and coordinators. The brokers
acts as mix anonymizer are responsible for user authentication and query forwarding. The coordinators
concatenated in a tree structure, enforce access control and query routing based on the automata.
Automata segmentation and query segment encryption schemes are used in the Privacy-preserving
Query Brokering (QBroker). Automaton segmentation scheme is used to logically divide the global
automaton into multiple independent segments. The query segment encryption scheme consists of the
preencryption and postencryption modules.
The PPIB scheme is enhanced to support dynamic site distribution and load balancing
mechanism. Peer workloads and trust level of each peer are integrated with the site distribution process.
The PPIB is improved to adopt self reconfigurable mechanism. Automated decision support system for
administrators is included in the PPIB.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
Vinod Chachra discussed improving discovery systems through post-processing harvested data. He outlined key players like data providers, service providers, and users. The harvesting, enrichment, and indexing processes were described. Facets, knowledge bases, and branding were discussed as ways to enhance discovery. Chachra concluded that progress has been made but more work is needed, and data and service providers should collaborate on standards.
Enhancing access privacy of range retrievals over b+treesMigrant Systems
The document proposes a new index structure called PB+tree to enhance privacy for range queries over encrypted B+trees. It first shows that an adversary can infer the structure of an encrypted B+tree and query ranges by observing I/O patterns of range queries. PB+tree aims to conceal the ordering of leaf nodes by grouping nodes into buckets and using homomorphic encryption to obscure which exact nodes are retrieved. It balances privacy with computational overhead. Experiments show PB+tree effectively impairs the adversary's ability to deduce the B+tree structure and query ranges.
This document compares the performance of object databases and ORM tools for object persistence. It finds that object databases have easier setup and are faster for storing and retrieving complex objects. However, relational databases with ORM provide better configuration of domain models and easier reporting and data mining. Performance tests showed object databases were faster for create, store, traverse, and query operations while an ORM was slower, especially for queries.
survey paper on object oriented cryptographic security for runtime entitiesINFOGAIN PUBLICATION
With the advent of complex systems the need for large data storage with less space utility & high performance have become the vital features. Another important concern of the data is the security which is assured via the cryptographic techniques implemented at all levels of data storage. In this survey paper we introduce the concept of security between two hierarchical data accesses and propose the concept of hierarchical cryptography between data of different classes of different hierarchies.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
International Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
Ensuring Distributed Accountability for Data Sharing Using Reversible Data Hi...IOSR Journals
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images,
since it maintains the excellent property that the original cover can be lossless recovered after embedded data is
extracted while protecting the image content’s confidentiality. All previous methods embed data by reversibly
vacating room from the encrypted images, which may be subject to some errors on data extraction and/or image
restoration. In this paper, we propose a novel method by reserving room before encryption with a traditional
RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image. The
proposed method can achieve real reversibility, that is, data extraction and image recovery are free of any
error. A major feature of the centralized database services is that users’ data are usually processed remotely in
unknown machines that users do not own or operate. While enjoying the convenience brought by this new
emerging technology, users’ fears of losing control of their own data (particularly, financial and health data)
can become a significant barrier to the wide adoption of centralized database services. To address this problem,
in this paper, we propose a novel highly decentralized information accountability framework to keep track of the
actual usage of the user’s data in the cloud Over-lay Network. We leverage the LOG file create a dynamic and
traveling object, and to ensure that any access to users’ data will trigger authentication and automated logging
local to the LOGs. To strengthen user’s control, we also provide distributed auditing mechanisms. We provide
extensive experimental studies that demonstrate the efficiency and effectiveness of the proposed approaches.
Index Terms : Reversible data hiding, image encryption, privacy protection, data sharing.
A Survey: Enhanced Block Level Message Locked Encryption for data DeduplicationIRJET Journal
This document summarizes various techniques for data deduplication. It discusses inline and post-process deduplication approaches and encryption-based deduplication methods like message locked encryption (MLE) and block-level message locked encryption (BL-MLE). The document also reviews literature on deduplication schemes using sampling techniques, flash memory indexing, and combining deduplication with Hadoop Distributed File System. Overall, the document provides an overview of different data deduplication methods and their advantages and disadvantages.
The document discusses object relational database management systems (ORDBMS). It begins by describing relational database management systems (RDBMS) and their deficiencies in supporting complex data types. Object oriented database management systems (OODBMS) were developed to address these deficiencies but faced their own challenges. ORDBMS were created to combine the best aspects of RDBMS and OODBMS, supporting both relational and object-oriented features like inheritance and encapsulation while maintaining compatibility with SQL. Major database vendors have incorporated ORDBMS features into their products to provide a migration path for users between the different models.
This document discusses database management systems and contains slides related to external data storage, file organization, indexing, and performance comparisons. Specifically, it provides information on different file organizations like heap files, sorted files, and indexed files. It also describes index structures like B+ trees and hash indexes. The slides provide comparisons of the cost of common operations like scans, searches, and updates between different file organization approaches.
This document discusses preservation metadata, which supports the long-term preservation of digital objects. It outlines common types of preservation metadata like fixity, viability, renderability, and authenticity data. Standards for preservation metadata are also examined, including PREMIS and METS, which define the core metadata needed to document digital preservation processes. Issues around implementing preservation metadata schemas and ensuring interoperability are also considered.
IRJET - A Secure Access Policies based on Data Deduplication SystemIRJET Journal
This document summarizes a research paper on a secure access policies based data deduplication system. The system uses attribute-based encryption and a hybrid cloud model with a private cloud for deduplication and a public cloud for storage. It allows defining access policies for encrypted data files. When a user uploads a duplicate file, the system checks for a matching file and replaces it with a reference to the existing copy to save storage. The system provides file and block-level deduplication for efficient storage and uses cryptographic techniques like MD5, 3DES and RSA for encryption, tagging and access control of encrypted duplicate data across clouds.
Resist Dictionary Attacks Using Password Based Protocols For Authenticated Ke...IJERA Editor
A parallel file system is a type of distributed file system that distributes file data across multiple servers and
provides for concurrent access by multiple tasks of a parallel application. In many to many communications or
multiple tasks, key establishments are a major problem in parallel file system. So we propose a variety of
authenticated key exchange protocols that are designed to address the above issue. In this paper, we also study
the password-based protocols for authenticated key exchange (AKE) to resist dictionary attacks. Password-based
protocols for authenticated key exchange (AKE) are designed to work to resist the use of passwords drawn from
a space so small that attacker might well specify, off line, all possible passwords. While many such protocols
have been suggested, the elemental theory has been lagging. We commence by interpreting a model for this
problem, to approach password guessing, forward secrecy, server compromise, and loss of session keys.
Duplicate File Analyzer using N-layer Hash and Hash TableAM Publications
with the advancement in data storage technology, the cost per gigabyte has reduced significantly, causing users to negligently store redundant files on their system. These may be created while taking manual backups or by improperly written programs. Often, files with the exact content have different file names; and files with different content may have the same name. Hence, devising an algorithm to identify redundant files based on their file name and/or size is not enough. In this paper, the authors have proposed a novel approach where the N-layer hash of all the files are individually calculated and stored in a hash table data structure. If an N-layer hash of a file matches with a hash that already exists in the hash table, that file is marked as a duplicate, which can be deleted or moved to a specific location as per the user's choice. The use of the hash table data structure helps achieve O(n) time complexity and the use of N-layer hashes improve the accuracy of identifying redundant files. This approach can be used for folder specific, drive specific or a system wide scan as required.
The document discusses several implementation challenges for object relational database systems (ORDBMS). It outlines issues related to storage and access methods for efficiently storing and accessing different data types like ADTs and structured objects. Query processing is more complex due to support for ADTs and user-defined functions that can introduce bugs or security issues. The query optimizer must also understand the new functionality to optimize queries appropriately.
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.
The Data Distribution Service (DDS) is a standard for ubiquitous, interoperable, secure, platform independent, and real-time data sharing across network connected devices. DDS is today used in a large class of applications, such as, Power Generation, Large Scale SCADA, Air Traffic Control and Management, Smart Cities, Smart Grids, Vehicles, Medical Devices, Simulation, Aerospace, Defense and Financial Trading.
Differently from traditional message-centric technologies, DDS is data-centric – the accent is on seamless (user-defined) data sharing as opposed to message delivery. Therefore, when embracing DDS and data-centricity, data modeling becomes a key step in the design of a distributed system.
This webcast will (1) explain the role and scope of data modeling in DDS, (2) introduce the techniques at the foundation of effective and extensible Data Models, and (3) summarize the most common DDS Data Modeling Idioms.
This document provides an overview of a database management systems course, including slides related to key concepts. The slides cover topics such as database applications, the benefits of using a DBMS over file systems, data models, SQL, database users and administrators, data storage and querying, and database system architectures. The document is intended to introduce students to fundamental DBMS concepts through explanatory slides.
Implementation of New Modified MD5-512 bit Algorithm for CryptographyAM Publications
In the past few years, there have been significant research advances in the analysis of hash functions and it
was shown that none of the hash algorithm is secure enough for critical purposes whether it is MD5 or SHA-
1.Nowadays scientists have found weaknesses in a number of hash functions, including MD5, SHA and RIPEMD so
the purpose of this paper is combination of some function to reinforce these functions and also increasing hash code
length up to 512 that makes stronger algorithm against collision attests.
The candidate is applying for a test automation position and believes their experience working with Nordic clients over the past three years and education make them a strong candidate. They have experience setting up selenium frameworks in Java with testNG and maven. They also have skills in communication, learning new technologies, customer service, and striving for excellence. The candidate has included their resume and certificates for additional details and is requesting a face-to-face meeting to further discuss the opportunity.
O documento descreve um projeto fotográfico sobre o trabalho de médiuns apometras na Fraternidade Espiritual Estrela do Oriente em São Leopoldo, RS. O objetivo é registrar através de fotos as leituras e benefícios trazidos aos consulentes, entrevistando médiuns e consulentes. A casa oferece desobsessão espiritual e outros grupos de apoio, além de ajudar a comunidade carente.
Este resumen describe los derechos y deberes de los aprendices del SENA. Según el reglamento del SENA, todos los aprendices, ya sea en modalidad presencial u online, tienen derecho a recibir un carné que los acredite como aprendices. Además, los aprendices tienen derecho a que sus tutores les entreguen retroalimentación y juicios de evaluación sobre sus trabajos y actividades formativas.
This document compares the performance of object databases and ORM tools for object persistence. It finds that object databases have easier setup and are faster for storing and retrieving complex objects. However, relational databases with ORM provide better configuration of domain models and easier reporting and data mining. Performance tests showed object databases were faster for create, store, traverse, and query operations while an ORM was slower, especially for queries.
survey paper on object oriented cryptographic security for runtime entitiesINFOGAIN PUBLICATION
With the advent of complex systems the need for large data storage with less space utility & high performance have become the vital features. Another important concern of the data is the security which is assured via the cryptographic techniques implemented at all levels of data storage. In this survey paper we introduce the concept of security between two hierarchical data accesses and propose the concept of hierarchical cryptography between data of different classes of different hierarchies.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
International Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
Ensuring Distributed Accountability for Data Sharing Using Reversible Data Hi...IOSR Journals
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images,
since it maintains the excellent property that the original cover can be lossless recovered after embedded data is
extracted while protecting the image content’s confidentiality. All previous methods embed data by reversibly
vacating room from the encrypted images, which may be subject to some errors on data extraction and/or image
restoration. In this paper, we propose a novel method by reserving room before encryption with a traditional
RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image. The
proposed method can achieve real reversibility, that is, data extraction and image recovery are free of any
error. A major feature of the centralized database services is that users’ data are usually processed remotely in
unknown machines that users do not own or operate. While enjoying the convenience brought by this new
emerging technology, users’ fears of losing control of their own data (particularly, financial and health data)
can become a significant barrier to the wide adoption of centralized database services. To address this problem,
in this paper, we propose a novel highly decentralized information accountability framework to keep track of the
actual usage of the user’s data in the cloud Over-lay Network. We leverage the LOG file create a dynamic and
traveling object, and to ensure that any access to users’ data will trigger authentication and automated logging
local to the LOGs. To strengthen user’s control, we also provide distributed auditing mechanisms. We provide
extensive experimental studies that demonstrate the efficiency and effectiveness of the proposed approaches.
Index Terms : Reversible data hiding, image encryption, privacy protection, data sharing.
A Survey: Enhanced Block Level Message Locked Encryption for data DeduplicationIRJET Journal
This document summarizes various techniques for data deduplication. It discusses inline and post-process deduplication approaches and encryption-based deduplication methods like message locked encryption (MLE) and block-level message locked encryption (BL-MLE). The document also reviews literature on deduplication schemes using sampling techniques, flash memory indexing, and combining deduplication with Hadoop Distributed File System. Overall, the document provides an overview of different data deduplication methods and their advantages and disadvantages.
The document discusses object relational database management systems (ORDBMS). It begins by describing relational database management systems (RDBMS) and their deficiencies in supporting complex data types. Object oriented database management systems (OODBMS) were developed to address these deficiencies but faced their own challenges. ORDBMS were created to combine the best aspects of RDBMS and OODBMS, supporting both relational and object-oriented features like inheritance and encapsulation while maintaining compatibility with SQL. Major database vendors have incorporated ORDBMS features into their products to provide a migration path for users between the different models.
This document discusses database management systems and contains slides related to external data storage, file organization, indexing, and performance comparisons. Specifically, it provides information on different file organizations like heap files, sorted files, and indexed files. It also describes index structures like B+ trees and hash indexes. The slides provide comparisons of the cost of common operations like scans, searches, and updates between different file organization approaches.
This document discusses preservation metadata, which supports the long-term preservation of digital objects. It outlines common types of preservation metadata like fixity, viability, renderability, and authenticity data. Standards for preservation metadata are also examined, including PREMIS and METS, which define the core metadata needed to document digital preservation processes. Issues around implementing preservation metadata schemas and ensuring interoperability are also considered.
IRJET - A Secure Access Policies based on Data Deduplication SystemIRJET Journal
This document summarizes a research paper on a secure access policies based data deduplication system. The system uses attribute-based encryption and a hybrid cloud model with a private cloud for deduplication and a public cloud for storage. It allows defining access policies for encrypted data files. When a user uploads a duplicate file, the system checks for a matching file and replaces it with a reference to the existing copy to save storage. The system provides file and block-level deduplication for efficient storage and uses cryptographic techniques like MD5, 3DES and RSA for encryption, tagging and access control of encrypted duplicate data across clouds.
Resist Dictionary Attacks Using Password Based Protocols For Authenticated Ke...IJERA Editor
A parallel file system is a type of distributed file system that distributes file data across multiple servers and
provides for concurrent access by multiple tasks of a parallel application. In many to many communications or
multiple tasks, key establishments are a major problem in parallel file system. So we propose a variety of
authenticated key exchange protocols that are designed to address the above issue. In this paper, we also study
the password-based protocols for authenticated key exchange (AKE) to resist dictionary attacks. Password-based
protocols for authenticated key exchange (AKE) are designed to work to resist the use of passwords drawn from
a space so small that attacker might well specify, off line, all possible passwords. While many such protocols
have been suggested, the elemental theory has been lagging. We commence by interpreting a model for this
problem, to approach password guessing, forward secrecy, server compromise, and loss of session keys.
Duplicate File Analyzer using N-layer Hash and Hash TableAM Publications
with the advancement in data storage technology, the cost per gigabyte has reduced significantly, causing users to negligently store redundant files on their system. These may be created while taking manual backups or by improperly written programs. Often, files with the exact content have different file names; and files with different content may have the same name. Hence, devising an algorithm to identify redundant files based on their file name and/or size is not enough. In this paper, the authors have proposed a novel approach where the N-layer hash of all the files are individually calculated and stored in a hash table data structure. If an N-layer hash of a file matches with a hash that already exists in the hash table, that file is marked as a duplicate, which can be deleted or moved to a specific location as per the user's choice. The use of the hash table data structure helps achieve O(n) time complexity and the use of N-layer hashes improve the accuracy of identifying redundant files. This approach can be used for folder specific, drive specific or a system wide scan as required.
The document discusses several implementation challenges for object relational database systems (ORDBMS). It outlines issues related to storage and access methods for efficiently storing and accessing different data types like ADTs and structured objects. Query processing is more complex due to support for ADTs and user-defined functions that can introduce bugs or security issues. The query optimizer must also understand the new functionality to optimize queries appropriately.
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.
The Data Distribution Service (DDS) is a standard for ubiquitous, interoperable, secure, platform independent, and real-time data sharing across network connected devices. DDS is today used in a large class of applications, such as, Power Generation, Large Scale SCADA, Air Traffic Control and Management, Smart Cities, Smart Grids, Vehicles, Medical Devices, Simulation, Aerospace, Defense and Financial Trading.
Differently from traditional message-centric technologies, DDS is data-centric – the accent is on seamless (user-defined) data sharing as opposed to message delivery. Therefore, when embracing DDS and data-centricity, data modeling becomes a key step in the design of a distributed system.
This webcast will (1) explain the role and scope of data modeling in DDS, (2) introduce the techniques at the foundation of effective and extensible Data Models, and (3) summarize the most common DDS Data Modeling Idioms.
This document provides an overview of a database management systems course, including slides related to key concepts. The slides cover topics such as database applications, the benefits of using a DBMS over file systems, data models, SQL, database users and administrators, data storage and querying, and database system architectures. The document is intended to introduce students to fundamental DBMS concepts through explanatory slides.
Implementation of New Modified MD5-512 bit Algorithm for CryptographyAM Publications
In the past few years, there have been significant research advances in the analysis of hash functions and it
was shown that none of the hash algorithm is secure enough for critical purposes whether it is MD5 or SHA-
1.Nowadays scientists have found weaknesses in a number of hash functions, including MD5, SHA and RIPEMD so
the purpose of this paper is combination of some function to reinforce these functions and also increasing hash code
length up to 512 that makes stronger algorithm against collision attests.
The candidate is applying for a test automation position and believes their experience working with Nordic clients over the past three years and education make them a strong candidate. They have experience setting up selenium frameworks in Java with testNG and maven. They also have skills in communication, learning new technologies, customer service, and striving for excellence. The candidate has included their resume and certificates for additional details and is requesting a face-to-face meeting to further discuss the opportunity.
O documento descreve um projeto fotográfico sobre o trabalho de médiuns apometras na Fraternidade Espiritual Estrela do Oriente em São Leopoldo, RS. O objetivo é registrar através de fotos as leituras e benefícios trazidos aos consulentes, entrevistando médiuns e consulentes. A casa oferece desobsessão espiritual e outros grupos de apoio, além de ajudar a comunidade carente.
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original data. The Model exhibits the Querying Process over the cloud computing infrastructure using Secured and
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Authenticated key exchange protocols for parallel network file systemsPvrtechnologies Nellore
This document describes a study on establishing secure parallel sessions between clients and storage devices in large-scale network file systems. It discusses the current Kerberos-based solution used in the parallel Network File System (pNFS) standard, which has limitations in terms of scalability, lack of forward secrecy, and key escrow issues. The document proposes new authenticated key exchange protocols to address these limitations, reducing the workload on the metadata server by up to 54% while providing forward secrecy and avoiding key escrow. It defines a security model and proves the security of the new protocols.
This document discusses distributed file systems and Network File System (NFS). It begins with an overview of distributed file system requirements including transparency, performance, scalability, fault tolerance and security. It then describes the general file service architecture with client, directory server and file server modules. The document outlines the NFS architecture and how it uses remote procedure calls for communication. It explains how NFS implements client-side caching and handles consistency across clients and the server. Finally, it briefly discusses the NFS mounting and file access protocols.
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1. Mrs.G.Kalaimathi Priya / International Journal of Engineering Research and Applications
(IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 1, January -February 2013, pp.1383-1386
Metadata Search In Large File System Using Wise Store
Mrs.G.Kalaimathi Priya
(Department of Computer Science, PRIST University, Trichy-09)
ABSTRACT
The decentralized propose of wise-store five main reasons. First, as the storage system is
is semantic responsive organization. scaling up rapidly, a very large-scale file system, the
Decentralized design improves system scalability main concern of this paper, generally consists of
and reduces query latency for composite thousands of server nodes, contains trillions of files,
metadata queries. It is hold up different and reaches Exabyte-data-volume (EB).
composite queries in resourceful such as top-k Unfortunately, existing distributed databases fail to
and search queries. So we can develop the large achieve efficient management of petabytes of data
storage file system in Exabyte – Level system and thousands of concurrent requests. Second, for
with billions of files. It has functionality and heterogeneous execution environments, devices of
resourceful in search for composite metadata file systems are heterogeneous, such as
queries and very fast. Wise store has provided supercomputers; Instead, DBMS often assumes
innovative query called search query. It is very homogeneous and dedicated high-performance
flexible reduced latency for search composite hardware devices. Recently, the database research
metadata queries in accessing file and also community has become aware of this problem and
enhancing security using RSA algorithm. agreed that existing DBMS for general-purpose
applications would not be a “one size fit all”
I. INTRODUCTION solution. This issue has also been observed by file
Metadata is often called „data about data‟. system researchers. Third, for heterogeneous data
More precisely, it is the essential definition or types, their metadata in file systems are also
structured description of the content, quality, heterogeneous. Fourth the metadata may be
condition or other characteristics of data. Metadata structured, semi structured, or even unstructured,
can be defined as a structured description of the since they come from different operational system
content, quality, condition or other characteristics of platforms and support various real-world
data. Metadata needs to accompany data otherwise applications. Fifth existing storage system has not
the data being transmitted or communicated cannot provide fully security. In the next-generation file
be understood. The term of metadata is ambiguous, systems, metadata accesses will very possible
as it is used for two fundamentally different develop into a severe performance bottleneck as
concepts. Although the expression data about data is metadata-based.
often used, it does not apply to both in the same
way. Structural metadata, the design and II. WISE STORE SYSTEM
specification of data structures, cannot be about As the storage ability is forthcoming
data, because at design time the application contains Exabyte‟s and the number of files stored is reaching
no data. Existing metadata retrieving is a critical billions, directory-tree based metadata organization
requirement in the next-generation data storage broadly deployed in predictable file systems can no
systems serving high-end computing. As the storage longer meet the necessities of scalability and
capacity is approaching Exabyte and the number of functionality. For the next-generation large-scale
files stored is reaching billions, directory-tree based storage systems, new metadata organization
metadata organization widely deployed in schemes are beloved to meet three critical goals: 1)
predictable file systems can no longer meet the To serve a large number of synchronized accesses
necessities of scalability and functionality. For the with low latency and 2) To make available flexible
next-generation large-scale storage systems, new I/O interfaces to permit users to carry out highly
metadata organization schemes are beloved to meet developed metadata queries, such as top-k queries
three critical goals: 1) to serve a large number of and range queries to additional decrease query
synchronized accesses with low latency and 2) to latency 3) It has make available enhancing security
provide flexible I/O interfaces to permit users to using RSA algorithm.
perform advanced metadata queries, such as range,
top-k queries 3) We promote append new queries II.(i) Bloom Filter Encoding
called search queries, to flexible functionality and Step 1: start
decrease query latency. Although existing Step 2: declare the variables of x, y, m, i
distributed database systems can work well in some Step 3: Collect file locations from x (keyword)
real-world data-intensive applications, they are stored in X.
inefficient in very large-scale file systems due to Step 4: Generate hashcode for X[i].hashcode
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2. Mrs.G.Kalaimathi Priya / International Journal of Engineering Research and Applications
(IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 1, January -February 2013, pp.1383-1386
Step 5: Store the all hash code in m bit Array
position.
BF (m) <=X[i].hashcode
Step 6: Transfer the Bf (m) to next keyword(y)
server port.
Step 7: Execute && (intersection) or || (union) on
the received BF with the server (Y).
Step 8: Send X && y or X || y to client port.
Step 9: Stop
II.(ii) RSA algorithm
(i) For public data:
1. get X(i) from the X.
2. RSA take X(i) and key.
3. It produce the hashcode.
X(i)+key=>hs(x)
4. Store the hashcode in Bloom Filter array
position.
Fig 1
BF(m)=hs(x)
Wise store has provided innovative query
5. it continue till last element reached. called search query. It is very flexible reduced
latency for search composite metadata queries in
(ii)For private data: accessing files. This query is used to investigate
1. get Y(i) from the Y. partially name of file or interrelated name of files.
So we can find without doubt of metadata that
2. RSA take Y(i) and key.
corresponding file name. Alternatively, the semantic
grouping can also progress system scalability and
3. It produce the hashcode.
avoid access bottlenecks and single-point failures
Y(i)+key=>hs(y)
since it renders the metadata organization fully
4. Store the hashcode in Bloom Filter array position. decentralized whereby most operations, such as
insertion/deletion and queries, can be executed
BF(m)=hs(y) within a given group. Provide the synchronized
access with low latency. To make available flexible
5. it continue till last element reached. I/O interfaces to permit users to carry out superior
metadata queries, such as range and top-k queries, to
promote decrease query latency, It support search
query concept and we can be relevant the security
system in this idea.
A semantic R- consists of index units (i.e.,
nonleaf nodes) containing location and mapping
information and storage units (i.e., leaf nodes)
containing file metadata, both of which are hosted
on a collection of storage servers. User send the
query to the R-Tree in various types such as point,
Range, top-k, Condition. After processing the query
in semantic R-Tree then final result send to client
machine.
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3. Mrs.G.Kalaimathi Priya / International Journal of Engineering Research and Applications
(IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 1, January -February 2013, pp.1383-1386
IV. DATA FLOW DIAGRAM trees may be used to represent the equivalent set of
metadata to correspondent query patterns
effectively. Wise Store supports composite queries
as well as range, top-k queries, and search query in
adding together to simple point query.
Wise Store that provides multiuser services
for users while organizes metadata to enhance
system performance by using decentralized semantic
R-tree structures. Each metadata server is a leaf
node in our semantic R-tree and can also potentially
hold multiple nonlife nodes of the R-tree. We refer
to the semantic R-tree leaf nodes as storage units
and the non leaf nodes as index units.
Fig 2
In system initialization development are
formed index unit and storage unit depending upon
the transient parameters values, index unit
containing location and mapping information,
storage units (i.e., leaf nodes) containing file
metadata, both of which are hosted on a collection
of storage servers then semantic grouping is
performed in grouping of metadata by given
attribute value.
Then Semantic R-Tree construct the User
send the query to the R-Tree in various types
composite queries such as point, Range ,top-k, and
search query After processing the multi queries in
semantic R-Tree then provide final result send to
client machine.
V. NODE CREATION
Our system generates the collection of
storage units and index units by given the values. In
this module first construct the storage unit and index
unit by benevolent the specify information of node
such as node name, node ipaddress and node port
no.
VII. USER QUERY PROCESSING
Wise Store supports flexible multi-query
services for users and these queries follow similar
query path. In all-purpose, users initially send a
query request to a randomly chosen server that is
also represented as storage unit that is a leaf node of
VI. CONSTRUCTION OF R-TREE semantic R-tree. The chosen storage unit, also called
A semantic R- consists of index units (i.e., home unit for the request, then retrieves semantic R-
nonleaf nodes) containing location and mapping tree nodes by using an on-line multicast-based or
information and storage units (i.e., leaf nodes) off-line pre-computation approach to locating a
containing file metadata, together which are hosted query request to its associated R-tree node. After
on a collection of storage servers. One or more R-
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4. Mrs.G.Kalaimathi Priya / International Journal of Engineering Research and Applications
(IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 1, January -February 2013, pp.1383-1386
obtaining query results, the home unit returns them scale distributed storage system with a large number
to users. of storage units.
9. Conclusion
A new model for organizing file metadata
for next-generation file systems, called Wise Store,
by exploiting file semantic to provide well-
organized and scalable composite queries while
enhancing system scalability and functionality. Wise
Store lies in it matches authentic data delivery and
physical describe with their logical semantic
correlation so that a composite query can be
effectively served within one or a small number of
storage units. Specially, a semantic grouping
method is proposed to effectively recognize files
that are correlated in their physical attributes or
behavioural attributes. Wise Store can very
resourcefully support composite queries, such as
range, top-k queries and search query ,which will
likely develop into increasingly essential in the next-
generation file systems. The model performance
Fig 5
proves that Wise Store is highly scalable, and can be
deployed in a large-scale distributed storage system
VIII. MULTIUSER SERVICE with a large number of storage units. Wise store has
It supports complex queries, such as range, provided innovative query called search query. It is
top-k queries and search query within the very flexible reduced latency for search composite
framework of ultra-large-scale distributed file metadata queries in accessing file and also
systems. enhancing security using RSA algorithm.
More purposely, our Wise Store holds up
four query interfaces for point, range, top-k queries
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