Fountain code based conveyed stockpiling system give solid online limit course of action through putting unlabeled
subset pieces into various stockpiling hubs. Luby Transformation (LT) code is one of the predominant wellspring codes for limit
systems in view of its viable recuperation. In any case, to ensure high accomplishment deciphering of wellspring code based limit
recuperation of additional segments in required and this need could avoid additional put off. We give the idea that distinctive stage
recuperation of piece is powerful to lessen the document recovery delay. We first develop a postpone display for various stage
recuperation arranges pertinent to our considered system with the made model. We focus on perfect recuperation arranges given
essentials on accomplishment decipher limit. Our numerical outcomes propose a focal tradeoff between the record recuperation
delay and the target of fruitful document unraveling and that the report recuperation deferral can be on a very basic level decrease
by in a perfect world bundle requests in a multi arrange style.
iaetsd Controlling data deuplication in cloud storageIaetsd Iaetsd
This document discusses controlling data deduplication in cloud storage. It proposes an architecture that provides duplicate check procedures with minimal overhead compared to normal cloud storage operations. The key aspects of the proposed system are:
1) It uses convergent encryption to encrypt data for privacy while still allowing for deduplication of duplicate files.
2) It introduces a private cloud that manages user privileges and generates tokens for authorized duplicate checking in a hybrid cloud architecture.
3) It evaluates the overhead of the proposed authorized duplicate checking scheme and finds it incurs negligible overhead compared to normal cloud storage operations.
A hybrid cloud approach for secure authorizedNinad Samel
This document summarizes a research paper that proposes a hybrid cloud approach for secure authorized data deduplication. The paper presents a scheme that uses convergent encryption to encrypt files before uploading them to cloud storage. It also considers the differential privileges of users when performing duplicate checks, in addition to file content. A prototype is implemented to test the proposed authorized duplicate check scheme. Experimental results show the scheme incurs minimal overhead compared to normal cloud storage operations. The goal is to better protect data security while supporting deduplication in a hybrid cloud architecture.
PROVABLE DATA PROCESSING (PDP) A MODEL FOR CLIENT'S SECURED DATA ON CLOUDJournal For Research
In the present scenario Cloud computing has turn out to be a vital mechanism in the field of computers. In this fast generation, cloud computing has swiftly extended as an substitute to conservative computing subsequently it can offer a flexible, dynamic, robust and cost effective structure. Data integrity is a significant measures in cloud storage. Storage outsourcing is a growing tendency which prompts a number of exciting security concerns, numerous of which have been widely inspected. Provable Data Possession (PDP) is the only the area that has recently seemed in the research literature. The chief concern is how frequently, efficiently as well as securely authenticate that a storage server is genuinely packing outsourced client’s data. The objective is to present a model for PDP that permits a client to store data on untrusted server to authenticate that the server holds the unique data without regaining it. The client reserves a constant quantity of metadata for the proof authentication. The challenge or response protocol connects a small amount of constant data, which reduces network communication. Accordingly, the PDP model for isolated data analysis supports prodigious data sets in extensively distributed storage systems.
This document summarizes techniques for ensuring data integrity in cloud storage. It discusses Provable Data Possession (PDP) and Proof of Retrievability (PoR) as the two main schemes. PDP allows a client to check that a cloud server possesses their file correctly, while PoR guarantees file retrievability and addresses data corruption concerns using error correcting codes. The document also examines other methods like naive hashing, signature-based approaches, and their limitations regarding public auditing and dynamic operations. Overall, the document provides an overview of the key challenges and state-of-the-art solutions for verifying data integrity in cloud computing.
Data Sharing in Extremely Resource Constrained EnvionrmentsAngelo Corsaro
This presentation introduces XRCE a new protocol for very efficiently distributing data in resource constrained (power, network, computation, and storage) environments. XRCE greatly improves the wire efficiency of existing protocol and in many cases provides higher level abstractions.
An Optimal Cooperative Provable Data Possession Scheme for Distributed Cloud ...IJMER
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.
The OMG DDS standard has recently received an incredible level of attention and press coverage due to its relevance for Consumer and Industrial IoT applications and its adoption as part of the Industrial Internet Consortium Reference Architecture. The main reason for the excitement in DDS stems from its data-centricity, efficiency, Internet-wide scalability, high-availability and configurability.
Although DDS provides a very feature rich platform for architecting distributed systems, it focuses on doing one thing well — namely data-sharing. As such it does not provide first-class support for abstractions such as distributed mutual exclusion, distributed barriers, leader election, consensus, atomic multicast, distributed queues, etc.
As a result, many architects tend to devise by themselves – assuming the DDS primitives as a foundation – the (hopefully correct) algorithms for classical problems such as fault-detection, leader election, consensus, distributed mutual exclusion, distributed barriers, atomic multicast, distributed queues, etc.
This Webcast explores DDS-based distributed algorithms for many classical, yet fundamental, problems in distributed systems. By attending the webcast you will learn how recurring problems arising in the design of distributed systems can be addressed using algorithm that are correct and perform well.
S.A.kalaiselvan toward secure and dependable storage serviceskalaiselvanresearch
This document proposes a scheme for ensuring data integrity and dependability for cloud storage systems. The scheme utilizes erasure coding to distribute data across multiple servers and generate verification tokens to enable lightweight auditing. It allows users to efficiently audit that their data is intact and to identify any misbehaving servers. The scheme also supports secure dynamic operations like updates, deletes and appends while maintaining the same level of integrity assurance. Analysis shows the scheme is efficient and resilient to various security threats from malicious servers.
iaetsd Controlling data deuplication in cloud storageIaetsd Iaetsd
This document discusses controlling data deduplication in cloud storage. It proposes an architecture that provides duplicate check procedures with minimal overhead compared to normal cloud storage operations. The key aspects of the proposed system are:
1) It uses convergent encryption to encrypt data for privacy while still allowing for deduplication of duplicate files.
2) It introduces a private cloud that manages user privileges and generates tokens for authorized duplicate checking in a hybrid cloud architecture.
3) It evaluates the overhead of the proposed authorized duplicate checking scheme and finds it incurs negligible overhead compared to normal cloud storage operations.
A hybrid cloud approach for secure authorizedNinad Samel
This document summarizes a research paper that proposes a hybrid cloud approach for secure authorized data deduplication. The paper presents a scheme that uses convergent encryption to encrypt files before uploading them to cloud storage. It also considers the differential privileges of users when performing duplicate checks, in addition to file content. A prototype is implemented to test the proposed authorized duplicate check scheme. Experimental results show the scheme incurs minimal overhead compared to normal cloud storage operations. The goal is to better protect data security while supporting deduplication in a hybrid cloud architecture.
PROVABLE DATA PROCESSING (PDP) A MODEL FOR CLIENT'S SECURED DATA ON CLOUDJournal For Research
In the present scenario Cloud computing has turn out to be a vital mechanism in the field of computers. In this fast generation, cloud computing has swiftly extended as an substitute to conservative computing subsequently it can offer a flexible, dynamic, robust and cost effective structure. Data integrity is a significant measures in cloud storage. Storage outsourcing is a growing tendency which prompts a number of exciting security concerns, numerous of which have been widely inspected. Provable Data Possession (PDP) is the only the area that has recently seemed in the research literature. The chief concern is how frequently, efficiently as well as securely authenticate that a storage server is genuinely packing outsourced client’s data. The objective is to present a model for PDP that permits a client to store data on untrusted server to authenticate that the server holds the unique data without regaining it. The client reserves a constant quantity of metadata for the proof authentication. The challenge or response protocol connects a small amount of constant data, which reduces network communication. Accordingly, the PDP model for isolated data analysis supports prodigious data sets in extensively distributed storage systems.
This document summarizes techniques for ensuring data integrity in cloud storage. It discusses Provable Data Possession (PDP) and Proof of Retrievability (PoR) as the two main schemes. PDP allows a client to check that a cloud server possesses their file correctly, while PoR guarantees file retrievability and addresses data corruption concerns using error correcting codes. The document also examines other methods like naive hashing, signature-based approaches, and their limitations regarding public auditing and dynamic operations. Overall, the document provides an overview of the key challenges and state-of-the-art solutions for verifying data integrity in cloud computing.
Data Sharing in Extremely Resource Constrained EnvionrmentsAngelo Corsaro
This presentation introduces XRCE a new protocol for very efficiently distributing data in resource constrained (power, network, computation, and storage) environments. XRCE greatly improves the wire efficiency of existing protocol and in many cases provides higher level abstractions.
An Optimal Cooperative Provable Data Possession Scheme for Distributed Cloud ...IJMER
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.
The OMG DDS standard has recently received an incredible level of attention and press coverage due to its relevance for Consumer and Industrial IoT applications and its adoption as part of the Industrial Internet Consortium Reference Architecture. The main reason for the excitement in DDS stems from its data-centricity, efficiency, Internet-wide scalability, high-availability and configurability.
Although DDS provides a very feature rich platform for architecting distributed systems, it focuses on doing one thing well — namely data-sharing. As such it does not provide first-class support for abstractions such as distributed mutual exclusion, distributed barriers, leader election, consensus, atomic multicast, distributed queues, etc.
As a result, many architects tend to devise by themselves – assuming the DDS primitives as a foundation – the (hopefully correct) algorithms for classical problems such as fault-detection, leader election, consensus, distributed mutual exclusion, distributed barriers, atomic multicast, distributed queues, etc.
This Webcast explores DDS-based distributed algorithms for many classical, yet fundamental, problems in distributed systems. By attending the webcast you will learn how recurring problems arising in the design of distributed systems can be addressed using algorithm that are correct and perform well.
S.A.kalaiselvan toward secure and dependable storage serviceskalaiselvanresearch
This document proposes a scheme for ensuring data integrity and dependability for cloud storage systems. The scheme utilizes erasure coding to distribute data across multiple servers and generate verification tokens to enable lightweight auditing. It allows users to efficiently audit that their data is intact and to identify any misbehaving servers. The scheme also supports secure dynamic operations like updates, deletes and appends while maintaining the same level of integrity assurance. Analysis shows the scheme is efficient and resilient to various security threats from malicious servers.
Making the right data available at the right time, at the right place, securely, efficiently, whilst promoting interoperability, is a key need for virtually any IoT application. After all, IoT is about leveraging access data – that used to be unavailable – in order to improve the ability to react, manage, predict and preserve a cyber-physical system.
The Data Distribution Service (DDS) is a standard for interoperable, secure, and efficient data sharing, used at the foundation of some of the most challenging Consumer and Industrial IoT applications, such as Smart Cities, Autonomous Vehicles, Smart Grids, Smart Farming, Home Automation and Connected Medical Devices.
In this presentation we will (1) introduce the Eclipse Cyclone DDS project, (2) provide a quick intro that will get you started with Cyclone DDS, (3) present a few Cyclone DDS use cases, and (4) share the Cyclone DDS development road-map.
DATA SECURITY IN CLOUD USING BLOWFISH ALGORITHMijsrd.com
Cloud computing is computing in which large groups of remote servers are networked to allow centralized data storage and online access to computer services or resources. The strives of environment is dynamic, customizable and reliable with the quality of services. Security issues in the cloud as it is anywhere else. Lots of people share different point of views in cloud computing. Some of the people believe that it is unsafe to use Cloud Computing .Clouds can be classified as public, private or hybrid. This paper handle security issue in cloud using blowfish algorithm.
Addressing the Challenges of Tactical Information Management in Net-Centric S...Angelo Corsaro
This paper provides an overview of the advantages provided by the OMG Data Distribution Service for Real-Time Systemts (DDS) for addressing the challenges associated with Tactical Information distribution.
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 internet based computing it is also known as "pay per use model"; we can pay only for the resources that are in the use. The key barrier to widespread uptake of cloud computing is the lack of trust in clouds by potential customers. While preventive controls for security and privacy measures are actively being researched, there is still little focus on detective controls related to cloud accountability and auditability. The complexity resulting from the sheer amount of virtualization and data distribution carried out in current clouds has also revealed an urgent need for research in cloud accountability, as has the shift in focus of customer concerns from server health and utilization to the integrity and safety of end-users' data. In this paper we purpose the method to store data provenance using Amazon S3 and simple DB.
The Data Distribution Service: The Communication Middleware Fabric for Scala...Angelo Corsaro
This paper introduces DDS, explains its extensible type system, and provides a set of guidelines on how to design extensible and efficient DDS data models. Throughout the paper the applicability of DDS to SoS is motivated and discussed.
Guaranteed Availability of Cloud Data with Efficient CostIRJET Journal
This document discusses efficient and cost-effective methods for hosting data across multiple cloud storage providers (multi-cloud) to ensure high data availability and reduce costs. It proposes distributing data among different cloud providers using replication and erasure coding techniques. This approach guarantees data availability even if one cloud provider fails and minimizes monetary costs by taking advantage of varying cloud pricing models and data access patterns. The technique is shown to save around 20% of costs while providing high flexibility to handle data and pricing changes over time.
The document describes a decentralized cooperative caching algorithm for social wireless networks that uses hints instead of centralized control. The algorithm allows clients to perform cache functions like replacement and lookup in a decentralized way using hints rather than exact information. This reduces overhead compared to more tightly coordinated systems while still providing comparable performance. The algorithm uses hints for block lookup and replacement decisions instead of relying on a centralized manager. Maintaining accurate hints allows the algorithm to perform well while avoiding the latency and load of centralized coordination.
IoT Protocols Integration with Vortex GatewayAngelo Corsaro
Not all Consumer and Industrial Internet of Things (CIoT, IIoT) applications have the luxury of starting with blank sheet of paper and design the system ground-up. Often IoT features have to be built around existing systems designed using proprietary technologies or vertical standards. As a consequence the ability to easily integrate communication standards, proprietary protocols and data stores is key in accelerating the development of IoT capabilities.
This webcast will showcase how the Vortex Gateway can be used to easily integrate different communication standards, data stores as well as quickly develop connectors for proprietary technologies.
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.
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.
A Privacy Preserving Three-Layer Cloud Storage Scheme Based On Computational ...IJSRED
This document proposes a three-layer cloud storage scheme based on fog computing to improve privacy protection. The scheme splits user data into three parts that are stored in the cloud server, fog server, and user's local machine. It uses a Hash-Solomon encoding technique to distribute the data in a way that original data cannot be reconstructed from partial information. The scheme leverages fog computing to both utilize cloud storage and securely protect data privacy against insider attacks. Theoretical analysis and experiments demonstrate that the proposed scheme effectively addresses privacy issues in existing cloud storage models.
This document summarizes a research paper that proposes a system for privacy-preserving public auditing of cloud data storage. The system allows a third-party auditor (TPA) to verify the integrity of data stored with a cloud service provider on behalf of users, without learning anything about the actual data contents. The system uses a public key-based homomorphic linear authenticator technique that enables the TPA to perform audits without having access to the full data. This technique allows the TPA to efficiently audit multiple users' data simultaneously. The document describes the system components, methodology used involving key generation and auditing protocols, and concludes the proposed system provides security and performance guarantees for privacy-preserving public auditing of cloud data
Performance evaluation and estimation model using regression method for hadoo...redpel dot com
Performance evaluation and estimation model using regression method for hadoop word count.
for more ieee paper / full abstract / implementation , just visit www.redpel.com
This document summarizes a research paper that proposes a framework called Cooperative Provable Data Possession (CPDP) to verify the integrity of data stored across multiple cloud storage providers. The framework uses two techniques: 1) a Hash Index Hierarchy that allows responses from different cloud providers to a client's challenge to be combined into a single response, and 2) Homomorphic Verifiable Responses that enable efficient verification of data stored on multiple cloud providers. The document outlines the security properties and performance benefits of the CPDP framework for verifying data integrity in a multi-cloud storage environment.
Vortex Lite is a lightweight implementation of the DDS standard that is optimized for resource-constrained devices. It has a small runtime footprint of around 450KB and provides low latency of 30 microseconds and high throughput by utilizing efficient single-threaded and multi-threaded designs. Vortex Lite can also connect to cloud services by enabling TCP/IP and configuring peers to Vortex Cloud addresses.
Privacy preserving public auditing for secured cloud storagedbpublications
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+ is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
Cooperative Schedule Data Possession for Integrity Verification in Multi-Clou...IJMER
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.
The document discusses key concepts related to cloud computing including cloud deployment and service models, cloud storage, using cloud as a parallel computing platform, and benefits of cloud infrastructure. It describes public, private, hybrid, and community cloud deployment models. It also explains different types of cloud storage including block, file, and object storage and advantages of cloud storage. Finally, it discusses using cloud resources for parallel computing and different parallel computing techniques and software solutions.
A Study on Replication and Failover Cluster to Maximize System UptimeYogeshIJTSRD
This document summarizes a study on using replication and failover clusters to maximize system uptime for cloud services. It discusses challenges in ensuring high availability of cloud services from a provider perspective. The study aims to present a high availability solution using load balancing, elasticity, replication, and disaster recovery configuration. It reviews related literature on digital media distribution platforms, content delivery networks, auto-scaling strategies, and database replication impact. It also covers methodologies like CloudFront, state machine replication, neural networks, Markov decision processes, and sliding window protocols. The scope is to build a scalable, fault-tolerant environment with disaster recovery and ensure continuous availability. The conclusion is that data replication and failover clusters are necessary to plan data
Making the right data available at the right time, at the right place, securely, efficiently, whilst promoting interoperability, is a key need for virtually any IoT application. After all, IoT is about leveraging access data – that used to be unavailable – in order to improve the ability to react, manage, predict and preserve a cyber-physical system.
The Data Distribution Service (DDS) is a standard for interoperable, secure, and efficient data sharing, used at the foundation of some of the most challenging Consumer and Industrial IoT applications, such as Smart Cities, Autonomous Vehicles, Smart Grids, Smart Farming, Home Automation and Connected Medical Devices.
In this presentation we will (1) introduce the Eclipse Cyclone DDS project, (2) provide a quick intro that will get you started with Cyclone DDS, (3) present a few Cyclone DDS use cases, and (4) share the Cyclone DDS development road-map.
DATA SECURITY IN CLOUD USING BLOWFISH ALGORITHMijsrd.com
Cloud computing is computing in which large groups of remote servers are networked to allow centralized data storage and online access to computer services or resources. The strives of environment is dynamic, customizable and reliable with the quality of services. Security issues in the cloud as it is anywhere else. Lots of people share different point of views in cloud computing. Some of the people believe that it is unsafe to use Cloud Computing .Clouds can be classified as public, private or hybrid. This paper handle security issue in cloud using blowfish algorithm.
Addressing the Challenges of Tactical Information Management in Net-Centric S...Angelo Corsaro
This paper provides an overview of the advantages provided by the OMG Data Distribution Service for Real-Time Systemts (DDS) for addressing the challenges associated with Tactical Information distribution.
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 internet based computing it is also known as "pay per use model"; we can pay only for the resources that are in the use. The key barrier to widespread uptake of cloud computing is the lack of trust in clouds by potential customers. While preventive controls for security and privacy measures are actively being researched, there is still little focus on detective controls related to cloud accountability and auditability. The complexity resulting from the sheer amount of virtualization and data distribution carried out in current clouds has also revealed an urgent need for research in cloud accountability, as has the shift in focus of customer concerns from server health and utilization to the integrity and safety of end-users' data. In this paper we purpose the method to store data provenance using Amazon S3 and simple DB.
The Data Distribution Service: The Communication Middleware Fabric for Scala...Angelo Corsaro
This paper introduces DDS, explains its extensible type system, and provides a set of guidelines on how to design extensible and efficient DDS data models. Throughout the paper the applicability of DDS to SoS is motivated and discussed.
Guaranteed Availability of Cloud Data with Efficient CostIRJET Journal
This document discusses efficient and cost-effective methods for hosting data across multiple cloud storage providers (multi-cloud) to ensure high data availability and reduce costs. It proposes distributing data among different cloud providers using replication and erasure coding techniques. This approach guarantees data availability even if one cloud provider fails and minimizes monetary costs by taking advantage of varying cloud pricing models and data access patterns. The technique is shown to save around 20% of costs while providing high flexibility to handle data and pricing changes over time.
The document describes a decentralized cooperative caching algorithm for social wireless networks that uses hints instead of centralized control. The algorithm allows clients to perform cache functions like replacement and lookup in a decentralized way using hints rather than exact information. This reduces overhead compared to more tightly coordinated systems while still providing comparable performance. The algorithm uses hints for block lookup and replacement decisions instead of relying on a centralized manager. Maintaining accurate hints allows the algorithm to perform well while avoiding the latency and load of centralized coordination.
IoT Protocols Integration with Vortex GatewayAngelo Corsaro
Not all Consumer and Industrial Internet of Things (CIoT, IIoT) applications have the luxury of starting with blank sheet of paper and design the system ground-up. Often IoT features have to be built around existing systems designed using proprietary technologies or vertical standards. As a consequence the ability to easily integrate communication standards, proprietary protocols and data stores is key in accelerating the development of IoT capabilities.
This webcast will showcase how the Vortex Gateway can be used to easily integrate different communication standards, data stores as well as quickly develop connectors for proprietary technologies.
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.
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.
A Privacy Preserving Three-Layer Cloud Storage Scheme Based On Computational ...IJSRED
This document proposes a three-layer cloud storage scheme based on fog computing to improve privacy protection. The scheme splits user data into three parts that are stored in the cloud server, fog server, and user's local machine. It uses a Hash-Solomon encoding technique to distribute the data in a way that original data cannot be reconstructed from partial information. The scheme leverages fog computing to both utilize cloud storage and securely protect data privacy against insider attacks. Theoretical analysis and experiments demonstrate that the proposed scheme effectively addresses privacy issues in existing cloud storage models.
This document summarizes a research paper that proposes a system for privacy-preserving public auditing of cloud data storage. The system allows a third-party auditor (TPA) to verify the integrity of data stored with a cloud service provider on behalf of users, without learning anything about the actual data contents. The system uses a public key-based homomorphic linear authenticator technique that enables the TPA to perform audits without having access to the full data. This technique allows the TPA to efficiently audit multiple users' data simultaneously. The document describes the system components, methodology used involving key generation and auditing protocols, and concludes the proposed system provides security and performance guarantees for privacy-preserving public auditing of cloud data
Performance evaluation and estimation model using regression method for hadoo...redpel dot com
Performance evaluation and estimation model using regression method for hadoop word count.
for more ieee paper / full abstract / implementation , just visit www.redpel.com
This document summarizes a research paper that proposes a framework called Cooperative Provable Data Possession (CPDP) to verify the integrity of data stored across multiple cloud storage providers. The framework uses two techniques: 1) a Hash Index Hierarchy that allows responses from different cloud providers to a client's challenge to be combined into a single response, and 2) Homomorphic Verifiable Responses that enable efficient verification of data stored on multiple cloud providers. The document outlines the security properties and performance benefits of the CPDP framework for verifying data integrity in a multi-cloud storage environment.
Vortex Lite is a lightweight implementation of the DDS standard that is optimized for resource-constrained devices. It has a small runtime footprint of around 450KB and provides low latency of 30 microseconds and high throughput by utilizing efficient single-threaded and multi-threaded designs. Vortex Lite can also connect to cloud services by enabling TCP/IP and configuring peers to Vortex Cloud addresses.
Privacy preserving public auditing for secured cloud storagedbpublications
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+ is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
Cooperative Schedule Data Possession for Integrity Verification in Multi-Clou...IJMER
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.
The document discusses key concepts related to cloud computing including cloud deployment and service models, cloud storage, using cloud as a parallel computing platform, and benefits of cloud infrastructure. It describes public, private, hybrid, and community cloud deployment models. It also explains different types of cloud storage including block, file, and object storage and advantages of cloud storage. Finally, it discusses using cloud resources for parallel computing and different parallel computing techniques and software solutions.
A Study on Replication and Failover Cluster to Maximize System UptimeYogeshIJTSRD
This document summarizes a study on using replication and failover clusters to maximize system uptime for cloud services. It discusses challenges in ensuring high availability of cloud services from a provider perspective. The study aims to present a high availability solution using load balancing, elasticity, replication, and disaster recovery configuration. It reviews related literature on digital media distribution platforms, content delivery networks, auto-scaling strategies, and database replication impact. It also covers methodologies like CloudFront, state machine replication, neural networks, Markov decision processes, and sliding window protocols. The scope is to build a scalable, fault-tolerant environment with disaster recovery and ensure continuous availability. The conclusion is that data replication and failover clusters are necessary to plan data
INTRODUCTION : Server Centric IT Architecture and its Limitations; Storage – Centric IT Architecture and its advantages; Case study: Replacing a server with Storage Networks; The Data Storage and Data Access problem; The Battle for size and access.
INTELLIGENT DISK SUBSYSTEMS – 1
Architecture of Intelligent Disk Subsystems; Hard disks and Internal I/O Channels, JBOD, Storage virtualization using RAID and different RAID levels;
E newsletter promise_&_challenges_of_cloud storage-2Anil Vasudeva
The document discusses the promise and challenges of cloud storage. The promise includes reduced costs, scalability, and accessibility. However, challenges include performance issues due to latency, security concerns about data in third-party control, and interoperability with existing systems and protocols. The document also outlines types of cloud storage solutions and how to optimize cloud storage using tiered data sets placed in different storage mediums and locations according to characteristics and needs.
Dynamic Resource Provisioning with Authentication in Distributed DatabaseEditor IJCATR
Data center have the largest consumption amounts of energy in sharing the power. The public cloud workloads of different
priorities and performance requirements of various applications [4]. Cloud data center have capable of sensing an opportunity to present
different programs. In my proposed construction and the name of the security level of imperturbable privacy leakage rarely distributed
cloud system to deal with the persistent characteristics there is a substantial increases and information that can be used to augment the
profit, retrenchment overhead or both. Data Mining Analysis of data from different perspectives and summarizing it into useful
information is a process. Three empirical algorithms have been proposed assignments estimate the ratios are dissected theoretically and
compared using real Internet latency data recital of testing methods
The document discusses cloud storage and file systems. It provides an overview of cloud storage, noting that data is stored across multiple servers and locations managed by hosting companies. Customers can purchase storage capacity as needed. File systems for cloud computing allow many clients shared access to data partitioned across chunks stored on remote machines. Popular distributed file systems like GFS and HDFS are designed to handle large datasets across thousands of servers for applications requiring massive parallel processing. Load balancing is important to efficiently distribute workloads.
IRJET- Distributed Decentralized Data Storage using IPFSIRJET Journal
This document describes a distributed decentralized data storage system that uses the Interplanetary File System (IPFS) protocol. The system allows users to encrypt files locally before uploading them, where they are broken into pieces and stored across multiple devices on the network with 51% redundancy to prevent data loss. Hashes are used to track the pieces and access the files. The system aims to provide privacy, security, and reliability through decentralization without a single point of failure. Files are encrypted, distributed, and accessed through a peer-to-peer network where each participating node contributes storage and acts as both a server and storage provider.
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
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.
Megastore providing scalable, highly available storage for interactive servicesJoão Gabriel Lima
The document describes Megastore, a storage system developed by Google to meet the requirements of interactive online services. Megastore blends the scalability of NoSQL databases with the features of relational databases. It uses partitioning and synchronous replication across datacenters using Paxos to provide strong consistency and high availability. Megastore has been widely deployed at Google to handle billions of transactions daily storing nearly a petabyte of data across global datacenters.
The document describes Megastore, a storage system developed by Google to meet the requirements of interactive online services. Megastore blends the scalability of NoSQL databases with the features of relational databases. It uses partitioning and synchronous replication across datacenters using Paxos to provide strong consistency and high availability. Megastore has been widely deployed at Google to handle billions of transactions daily storing nearly a petabyte of data across global datacenters.
Flaw less coding and authentication of user data using multiple cloudsIRJET Journal
This document discusses secure data storage in multiple cloud storage providers. It proposes a method for users to store encrypted data across multiple cloud storage providers using splitting and merging concepts. Private keys are generated during file access using a pseudo key generator and encrypted using 3DES for transmission. The method aims to increase data availability, confidentiality and reduce costs by distributing data across multiple cloud providers. It also discusses using image compression with reversible data hiding techniques to provide data confidentiality when storing images in the cloud.
Cloud computing is widely considered as potentially the next dominant technology in IT industry. It
offers basic system maintenance and scalable source management with Virtual Machines (VMs). As a essential
technology of cloud computing, VM has been a searing research issue in recent years. The high overhead of
virtualization has been well address by hardware expansion in CPU industry, and by software realization
improvement in hypervisors themselves. However, the high order on VM image storage remains a difficult
problem. Existing systems have made efforts to decrease VM image storage consumption by means of
deduplication inside a storage area network system. Nevertheless, storage area network cannot assure the
increasing demand of large-scale VM hosting for cloud computing because of its cost limitation. In this project,
we propose SILO, improved deduplication file system that has been particularly designed for major VM
deployment. Its design provide fast VM deployment with similarity and locality based fingerprint index for data
transfer and low storage consumption by means of deduplication on VM images. And implement heart beat
protocol in Meta Data Server (MDS) to recover the data from data server. It also provides a comprehensive set of
storage features including backup server for VM images, on-demand attractive through a network, and caching
through local disks by copy-on-read techniques. Experiments show that SILO features execute well and introduce
minor performance overhead.
Keywords — Deduplication, Storage area network, Load Balancing, Hash table, Disk copies.
An Auditing Protocol for Protected Data Storage in Cloud Computingijceronline
Cloud computing is a mechanism which provides us resources, information as per user requirement by the help of internet. Cloud is used to store important content material for a longer period of time which requires trust and safety of content that is stored in cloud. The main issue of cloud computing is security of data. Many techniques proposed earlier were beneficial for static archived data. Some encryption techniques were introduced later for dynamic data which includes masking technique, bilinear property with dynamic auditing. This paper proposed an effective auditing protocol to maintain the dynamic operations on data with RSA, MD5 and ID3 algorithms for enhancing data safety. The analysis and simulation results are effectual and protected as it incurs least communication cost and least computation cost of the auditor.
THE SURVEY ON REFERENCE MODEL FOR OPEN STORAGE SYSTEMS INTERCONNECTION MASS S...IRJET Journal
This document summarizes a research paper on a reference model for open storage systems interconnection with mass storage using key-aggregate cryptosystem. The paper proposes a key-aggregate cryptosystem framework to efficiently and securely share encrypted data across distributed storage. This allows data owners to assign access privileges to other users without increasing key sizes. The framework aggregates multiple secret keys into a single key of the same size. It reduces costs and complexity compared to traditional approaches requiring transmission of individual decryption keys. The proposed model aims to enable practical, secure and adaptable information sharing for distributed storage applications.
Excellent Manner of Using Secure way of data storage in cloud computingEditor IJMTER
The major challenging issue in Cloud computing is Security. Providing Security is big issue
towards protecting data from third person as well as in Internet. This mainly deals the Security how it is
provided. Various type of services are there to protect our data and Various Services are available in Cloud
Computing to Utilize effective manner as Software as a Service (SaaS), Platform as a Service (PaaS),
Hardware as a Service (HaaS). Cloud computing is the use of computing resources (hardware and
software) that are delivered as a service over Internet network. Cloud Computing moves the Application
software and databases to the large data centres, where the administration of the data and services may not
be fully trustworthy that is in third party here the party has to get certified and authorized. Since Cloud
Computing share distributed resources via network in the open environment thus it makes new security
risks towards the correctness of the data in cloud. I propose in this paper flexibility of data storage
mechanism in the distributed environment by using the homomorphism token generation. In the proposed
system, users need to allow auditing the cloud storage with lightweight communication. While using
Encryption and Decryption methods it is very burden for a single processor. Than the processing
Capabilities can we utilize from Cloud Computing.
Secure distributed deduplication systems with improved reliability 2Rishikesh Pathak
1. The document proposes new distributed deduplication systems that improve reliability by distributing data chunks across multiple cloud servers. This addresses limitations of single-server deduplication systems where losing one server causes disproportionate data loss.
2. The systems introduce a deterministic secret sharing scheme to protect data confidentiality in distributed storage, instead of using convergent encryption. Secret shares of files are distributed across servers.
3. The distributed approach enhances reliability while supporting deduplication and ensuring data integrity and "tag consistency" to prevent replacement attacks. This represents the first work addressing reliability, confidentiality and consistency for distributed deduplication.
Similar to Postponed Optimized Report Recovery under Lt Based Cloud Memory (20)
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...amsjournal
The Fourth Industrial Revolution is transforming industries, including healthcare, by integrating digital,
physical, and biological technologies. This study examines the integration of 4.0 technologies into
healthcare, identifying success factors and challenges through interviews with 70 stakeholders from 33
countries. Healthcare is evolving significantly, with varied objectives across nations aiming to improve
population health. The study explores stakeholders' perceptions on critical success factors, identifying
challenges such as insufficiently trained personnel, organizational silos, and structural barriers to data
exchange. Facilitators for integration include cost reduction initiatives and interoperability policies.
Technologies like IoT, Big Data, AI, Machine Learning, and robotics enhance diagnostics, treatment
precision, and real-time monitoring, reducing errors and optimizing resource utilization. Automation
improves employee satisfaction and patient care, while Blockchain and telemedicine drive cost reductions.
Successful integration requires skilled professionals and supportive policies, promising efficient resource
use, lower error rates, and accelerated processes, leading to optimized global healthcare outcomes.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.