University - Visvesvaraya Technological University
College - Global Academy of Technology
IEEE paper - 2015
by - G AISHWARYA, ALOK KUMAR, GAURAV KUMAR MISHRA, KEDAR RAVINDRA KULKARNI
under the guidance of - Dr. LATHA C A
The document provides a report on proposing a decentralized information accountability framework to track how user data is used in the cloud. It analyzes existing cloud service models and outlines the objectives, scope, system analysis, design and feasibility of the proposed framework. The system analysis section describes challenges with current single-server systems and outlines modules for data integrity, security, and distributed storage across multiple servers. A feasibility study examines the technical, social, and economic viability of the project. The system design section provides diagrams to model the data flow, entity relationships, system workflows and use cases of the proposed accountability framework.
This document discusses preserving data integrity in cloud computing through third party auditing. It introduces an effective third party auditor that can perform multiple auditing tasks simultaneously using the technique of bilinear aggregate signature. This reduces computation costs and storage overhead for integrity verification. The system supports dynamic data operations through techniques like fragment structure, random sampling and an index-hash table. It also allows efficient scheduling of audit activities in an audit period and assigns each third party auditor to audit a batch of files to save time. The system provides advantages like improved performance and reduced extra storage requirements.
The document discusses privacy-preserving public auditing for ensuring data integrity in cloud computing. It provides an overview of cloud data services and the need for privacy mechanisms when data is shared. Several existing works related to public auditing and their advantages/disadvantages are summarized. The authors then propose a scheme for privacy-preserving public auditing that supports batch auditing and data dynamics. The scheme allows an external auditor to audit user data across multiple requests while preserving privacy.
Secure erasure code based cloud storage system with secure data forwardingPriyank Rupera
The document describes a presentation on implementing threshold proxy re-encryption and decentralized erasure code for distributed storage systems. The proposed system uses threshold proxy re-encryption and decentralized erasure coding to improve security and reliability compared to traditional general encryption schemes. Key components include storage servers, key servers, and flexible adjustment of parameters between servers. Diagrams are included showing the system architecture, workflow, use cases and sequences.
Data Sharing: Ensure Accountability Distribution in the CloudSuraj Mehta
The document proposes a system for ensuring distributed accountability and security for user data stored in the cloud. The system encrypts user data and wraps it in a JAR file along with access policies. It uses DES for encryption, RSA for JAR file security, and MD5 for authentication. Log records of access are generated, encrypted, and stored in log files. A log harmonizer tracks the logs and can push or pull them to ensure the data owner's data is secure. The system aims to provide accountability, enforce access controls, and prevent attacks like copying or disassembling protected data.
The document provides a report on proposing a decentralized information accountability framework to track how user data is used in the cloud. It analyzes existing cloud service models and outlines the objectives, scope, system analysis, design and feasibility of the proposed framework. The system analysis section describes challenges with current single-server systems and outlines modules for data integrity, security, and distributed storage across multiple servers. A feasibility study examines the technical, social, and economic viability of the project. The system design section provides diagrams to model the data flow, entity relationships, system workflows and use cases of the proposed accountability framework.
This document discusses preserving data integrity in cloud computing through third party auditing. It introduces an effective third party auditor that can perform multiple auditing tasks simultaneously using the technique of bilinear aggregate signature. This reduces computation costs and storage overhead for integrity verification. The system supports dynamic data operations through techniques like fragment structure, random sampling and an index-hash table. It also allows efficient scheduling of audit activities in an audit period and assigns each third party auditor to audit a batch of files to save time. The system provides advantages like improved performance and reduced extra storage requirements.
The document discusses privacy-preserving public auditing for ensuring data integrity in cloud computing. It provides an overview of cloud data services and the need for privacy mechanisms when data is shared. Several existing works related to public auditing and their advantages/disadvantages are summarized. The authors then propose a scheme for privacy-preserving public auditing that supports batch auditing and data dynamics. The scheme allows an external auditor to audit user data across multiple requests while preserving privacy.
Secure erasure code based cloud storage system with secure data forwardingPriyank Rupera
The document describes a presentation on implementing threshold proxy re-encryption and decentralized erasure code for distributed storage systems. The proposed system uses threshold proxy re-encryption and decentralized erasure coding to improve security and reliability compared to traditional general encryption schemes. Key components include storage servers, key servers, and flexible adjustment of parameters between servers. Diagrams are included showing the system architecture, workflow, use cases and sequences.
Data Sharing: Ensure Accountability Distribution in the CloudSuraj Mehta
The document proposes a system for ensuring distributed accountability and security for user data stored in the cloud. The system encrypts user data and wraps it in a JAR file along with access policies. It uses DES for encryption, RSA for JAR file security, and MD5 for authentication. Log records of access are generated, encrypted, and stored in log files. A log harmonizer tracks the logs and can push or pull them to ensure the data owner's data is secure. The system aims to provide accountability, enforce access controls, and prevent attacks like copying or disassembling protected data.
IRJET- Framework for Dynamic Resource Allocation and Scheduling for CloudIRJET Journal
This document describes a framework for dynamic resource allocation and load balancing in cloud computing. The framework uses infrastructure as a service (IAAS), simple mail transfer protocol (STMP) for notifications, advanced encryption standard (AES) for encrypting uploaded files, and domain name system (DNS) pointing to distribute load efficiently and securely. The system allows users to register, upload encrypted files, request access to other user's files via email notification, and view file details. An administrator can monitor usage and move unused files to balance load across resources. The framework is intended for small-scale private cloud systems and organizations where large commercial cloud services are not needed or affordable.
Maintaining Data Integrity for Shared Data in Cloud IJERA Editor
This document summarizes a research paper on maintaining data integrity for shared data in the cloud. It discusses how data can be easily shared and modified by users in a group stored in the cloud. To protect data integrity, each data block is assigned a signature by the data owner. If a user is revoked from the group, existing users must re-sign the blocks that were previously signed by the revoked user. The paper also proposes allowing a public auditor to verify data integrity without downloading the entire data file, preserving data confidentiality. It describes using proxy re-signatures and secret keys during login for security.
Ensuring distributed accountability for data sharing in the cloudSathya Moorthy
The document proposes a Cloud Information Accountability (CIA) framework to provide end-to-end accountability for data sharing in the cloud. The CIA framework uses a decentralized logging mechanism coupled with the user's data to automatically log all access. It also includes distinct push and pull modes for auditing, where logs are periodically sent or can be retrieved by the user. The implementation involves major components of loggers that record access and a log harmonizer that allows user access to the logs.
Secure Data Storage and Forwarding in Cloud Using AES and HMACIRJET Journal
This document discusses secure data storage and forwarding in the cloud using AES encryption and HMAC. It proposes a system where data is first encrypted using AES before being split and stored across multiple cloud storage servers. When a user wants to share data, a re-encryption key is sent to the storage server, which re-encrypts the data for the authorized user. HMAC is used to generate a secret key that is sent to users and is needed to download encrypted data from the cloud. The system aims to provide privacy and security for cloud users with low computation costs and fast speeds.
Ensuring Distributed Accountability for Data Sharing in the CloudSwapnil Salunke
The document proposes a decentralized technique called the CAI framework to automatically log any access to data stored in the cloud. This framework uses Java archive (JAR) files to log data access and provide an auditing mechanism. It includes algorithms for identity-based encryption and authentication as well as push and pull modes for generating log records. The system architecture involves multiple server systems running software like Tomcat and MySQL to provide the cloud logging functionality.
Ensuring Distributed Accountability in the CloudSuraj Mehta
This document outlines a project to ensure distributed accountability for data sharing in the cloud. It discusses the existing centralized system and outlines the proposed decentralized system with distributed accountability and automatic logging. The document includes sections on future scope, product features like JAR creation and data policies, an overview, security measures for copying and man-in-the-middle attacks, and technical specifications. It concludes that the goal of distributed accountability based on user privilege levels was achieved.
This document proposes a Cloud Information Accountability (CIA) framework to ensure distributed accountability for data sharing in the cloud. The framework provides an automatic and platform-independent logging mechanism without requiring dedicated authentication. It goes beyond access control by providing usage control after data is delivered. The CIA framework includes distinct auditing modes, logging and auditing techniques, and major components.
Analysis of quality of service in cloud storage systemsijfcstjournal
Data replication is generally used for increasing
accessibility, availability, performance and scalability
of database systems. For implementing data replication mechanisms, we encounter with some consistency
problems.One of the important problems for implementing data replication mechanism is consistency. In this paper,
the performance tradeoffs of consistency models for semi-active data replication protocol in distributed systems
are analyzed.A brief deliberation about consistency models in data replication is shown.Research on how client-centric guarantees relate to data-centric models is discussed.How guaranteeing conditions of data -centric consistency models and client-centric consistency models is provided, is also analyzed.Analysis of the consistency models guarantee in terms of multi-client and single
client for the semi-active data replication protocol without failure and leader death is presented. The experimental results show that semi-active data replication protocol is appropriate for distributed systemsby multi- client replication such as web services.
This document presents an authorized duplicate check scheme for deduplication in a hybrid cloud storage system. It discusses issues with traditional deduplication and encryption techniques, and proposes a system that uses convergent encryption and generates hash values of files to enable authorized duplicate checking while maintaining data security and confidentiality. The system architecture involves users uploading encrypted files, generating hash values for duplicate checking, and downloading referenced root files if duplicates are found. This allows storage space savings while protecting data through multiple authentication levels and encryption. Evaluation shows the scheme incurs minimal overhead compared to normal cloud storage operations.
This document discusses providing accountability and access control for data shared in the cloud. It proposes a system where data owners can store encrypted data on a cloud service provider (CSP) along with access privileges for authorized clients. Clients must get permission from the data owner to retrieve encrypted data files from the CSP. The CSP generates log files of client access that are sent to the data owner for auditing purposes. The system uses algorithms like MD5, PBE and RSA for encryption, access control and integrity verification to securely share data while maintaining the data owner's control.
Windows Azure addresses security across its infrastructure through continuous intrusion detection and prevention systems, denial of service attack prevention, regular penetration testing, and forensic tools. It designs security into its development process and operations through a Security Development Lifecycle and rigorous security controls. It also takes an assume breach approach and has 24/7 incident response. Customer data is protected through encryption of data in transit and at rest, data segregation, and destruction of data upon customer deletion or leaving the service.
This document discusses privacy-preserving public auditing for shared data stored in the cloud. It proposes a mechanism called ORUTA that allows a third party auditor (TPA) to efficiently audit the integrity of shared data in the cloud while preserving the identity privacy of users. The mechanism has two phases - a setup phase and an audit phase. It also supports batch auditing which allows the TPA to concurrently handle multiple auditing tasks, improving efficiency. The mechanism further extends to allow for dynamic operations like insert, delete and modify on the outsourced data.
This document proposes a system for secure and dependable storage in cloud computing. It introduces key challenges with cloud data security and proposes a distributed storage solution with lightweight communication and computation. The solution ensures strong data security, fast error detection, and supports dynamic operations on outsourced data. It uses algorithms like Byzantine fault tolerance and Reed-Solomon coding to detect errors and recover from failures. An overview of the system architecture, modules, use cases and technologies used is also provided.
The document provides best practices for securing Active Directory, including establishing secure boundaries, deploying secure domain controllers, establishing secure policies, and maintaining secure operations. It recommends limiting physical access, disabling unnecessary services, using strong passwords, monitoring for changes, and staying current on security updates. The summary emphasizes maintaining secure domain controller operations, using tools like VPNs, firewalls, and intrusion detection to protect communications and assets.
Oruta privacy preserving public auditing for shared data in the cloudNexgen Technology
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
The document is a question bank for the cloud computing course CS8791. It contains 26 multiple choice or short answer questions related to key concepts in cloud computing including definitions of cloud computing, characteristics of clouds, deployment models, service models, elasticity, horizontal and vertical scaling, live migration techniques, and dynamic resource provisioning.
The document discusses distributed system models and issues in designing distributed systems. It describes three distributed system models: architectural models which describe how system components are distributed and placed, interaction models which handle timing aspects, and fault models which define how failures are handled. For architectural models, it explains the client-server and peer-to-peer models. For interaction models, it discusses synchronous and asynchronous systems. It then lists 10 issues to consider in distributed system design, such as heterogeneity, openness, security, scalability, failure handling, concurrency, transparency, quality of service, reliability, and performance.
This document discusses performance issues related to the interoperability between IEEE 802.3 (Ethernet or wired LAN) and IEEE 802.11 (wireless LAN) standards in a heterogeneous network environment. It provides an overview of the two standards, including their development and key features. The document then examines interoperability issues that can occur when combining these different network types. It describes how data is exchanged between wired and wireless networks at the data link layer. The document also presents results from a simulation that showed LAN data transfer to be faster than WLAN information exchange.
An Analysis Of Cloud ReliabilityApproaches Based on Cloud Components And Reli...ijafrc
This document discusses several techniques for improving reliability in cloud computing systems. It analyzes approaches based on cloud components and reliability techniques, including adaptive fault tolerance, cloud service reliability modeling, fault-tolerant and reliable computation, fault tolerance and resilience, fault tolerance middleware, and a system-level approach. The key components of cloud reliability are discussed, such as virtual machines, cloud managers, and fault tolerance methods. Comparisons are made between the techniques based on their methodology for measuring and ensuring reliability.
The document proposes a scheme for secure access to outsourced databases in cloud computing environments. It uses a modified row-based encryption technique where each database row is encrypted with a separate key. The scheme also uses client-side memory and selective encryption to increase performance. A modified Diffie-Hellman key exchange algorithm is used to establish secure communication between the cloud service provider and users, inhibiting malicious outsiders. The scheme aims to overcome security challenges like information leakage, key management, revocation handling and user authentication that exist in current solutions for securing outsourced databases.
Key aggregate cryptosystem for scalable data sharing in cloudMeka Subramanyam
This document presents a proposed system for secure and flexible data sharing in cloud storage. It describes using new public-key cryptosystems that can aggregate any set of secret keys into a constant-size ciphertext. This allows flexible sharing of encrypted data through an aggregate key that decrypts multiple ciphertexts without increasing in size. The system architecture includes setup, encryption, key generation, and decryption phases. The proposed system aims to address limitations in existing approaches regarding key sizes and flexibility of data access delegation.
KEY-AGGREGATE SEARCHABLE ENCRYPTION (KASE) FOR GROUP DATA SHARING VIA CLOUD ...Nexgen Technology
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Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
IRJET- Framework for Dynamic Resource Allocation and Scheduling for CloudIRJET Journal
This document describes a framework for dynamic resource allocation and load balancing in cloud computing. The framework uses infrastructure as a service (IAAS), simple mail transfer protocol (STMP) for notifications, advanced encryption standard (AES) for encrypting uploaded files, and domain name system (DNS) pointing to distribute load efficiently and securely. The system allows users to register, upload encrypted files, request access to other user's files via email notification, and view file details. An administrator can monitor usage and move unused files to balance load across resources. The framework is intended for small-scale private cloud systems and organizations where large commercial cloud services are not needed or affordable.
Maintaining Data Integrity for Shared Data in Cloud IJERA Editor
This document summarizes a research paper on maintaining data integrity for shared data in the cloud. It discusses how data can be easily shared and modified by users in a group stored in the cloud. To protect data integrity, each data block is assigned a signature by the data owner. If a user is revoked from the group, existing users must re-sign the blocks that were previously signed by the revoked user. The paper also proposes allowing a public auditor to verify data integrity without downloading the entire data file, preserving data confidentiality. It describes using proxy re-signatures and secret keys during login for security.
Ensuring distributed accountability for data sharing in the cloudSathya Moorthy
The document proposes a Cloud Information Accountability (CIA) framework to provide end-to-end accountability for data sharing in the cloud. The CIA framework uses a decentralized logging mechanism coupled with the user's data to automatically log all access. It also includes distinct push and pull modes for auditing, where logs are periodically sent or can be retrieved by the user. The implementation involves major components of loggers that record access and a log harmonizer that allows user access to the logs.
Secure Data Storage and Forwarding in Cloud Using AES and HMACIRJET Journal
This document discusses secure data storage and forwarding in the cloud using AES encryption and HMAC. It proposes a system where data is first encrypted using AES before being split and stored across multiple cloud storage servers. When a user wants to share data, a re-encryption key is sent to the storage server, which re-encrypts the data for the authorized user. HMAC is used to generate a secret key that is sent to users and is needed to download encrypted data from the cloud. The system aims to provide privacy and security for cloud users with low computation costs and fast speeds.
Ensuring Distributed Accountability for Data Sharing in the CloudSwapnil Salunke
The document proposes a decentralized technique called the CAI framework to automatically log any access to data stored in the cloud. This framework uses Java archive (JAR) files to log data access and provide an auditing mechanism. It includes algorithms for identity-based encryption and authentication as well as push and pull modes for generating log records. The system architecture involves multiple server systems running software like Tomcat and MySQL to provide the cloud logging functionality.
Ensuring Distributed Accountability in the CloudSuraj Mehta
This document outlines a project to ensure distributed accountability for data sharing in the cloud. It discusses the existing centralized system and outlines the proposed decentralized system with distributed accountability and automatic logging. The document includes sections on future scope, product features like JAR creation and data policies, an overview, security measures for copying and man-in-the-middle attacks, and technical specifications. It concludes that the goal of distributed accountability based on user privilege levels was achieved.
This document proposes a Cloud Information Accountability (CIA) framework to ensure distributed accountability for data sharing in the cloud. The framework provides an automatic and platform-independent logging mechanism without requiring dedicated authentication. It goes beyond access control by providing usage control after data is delivered. The CIA framework includes distinct auditing modes, logging and auditing techniques, and major components.
Analysis of quality of service in cloud storage systemsijfcstjournal
Data replication is generally used for increasing
accessibility, availability, performance and scalability
of database systems. For implementing data replication mechanisms, we encounter with some consistency
problems.One of the important problems for implementing data replication mechanism is consistency. In this paper,
the performance tradeoffs of consistency models for semi-active data replication protocol in distributed systems
are analyzed.A brief deliberation about consistency models in data replication is shown.Research on how client-centric guarantees relate to data-centric models is discussed.How guaranteeing conditions of data -centric consistency models and client-centric consistency models is provided, is also analyzed.Analysis of the consistency models guarantee in terms of multi-client and single
client for the semi-active data replication protocol without failure and leader death is presented. The experimental results show that semi-active data replication protocol is appropriate for distributed systemsby multi- client replication such as web services.
This document presents an authorized duplicate check scheme for deduplication in a hybrid cloud storage system. It discusses issues with traditional deduplication and encryption techniques, and proposes a system that uses convergent encryption and generates hash values of files to enable authorized duplicate checking while maintaining data security and confidentiality. The system architecture involves users uploading encrypted files, generating hash values for duplicate checking, and downloading referenced root files if duplicates are found. This allows storage space savings while protecting data through multiple authentication levels and encryption. Evaluation shows the scheme incurs minimal overhead compared to normal cloud storage operations.
This document discusses providing accountability and access control for data shared in the cloud. It proposes a system where data owners can store encrypted data on a cloud service provider (CSP) along with access privileges for authorized clients. Clients must get permission from the data owner to retrieve encrypted data files from the CSP. The CSP generates log files of client access that are sent to the data owner for auditing purposes. The system uses algorithms like MD5, PBE and RSA for encryption, access control and integrity verification to securely share data while maintaining the data owner's control.
Windows Azure addresses security across its infrastructure through continuous intrusion detection and prevention systems, denial of service attack prevention, regular penetration testing, and forensic tools. It designs security into its development process and operations through a Security Development Lifecycle and rigorous security controls. It also takes an assume breach approach and has 24/7 incident response. Customer data is protected through encryption of data in transit and at rest, data segregation, and destruction of data upon customer deletion or leaving the service.
This document discusses privacy-preserving public auditing for shared data stored in the cloud. It proposes a mechanism called ORUTA that allows a third party auditor (TPA) to efficiently audit the integrity of shared data in the cloud while preserving the identity privacy of users. The mechanism has two phases - a setup phase and an audit phase. It also supports batch auditing which allows the TPA to concurrently handle multiple auditing tasks, improving efficiency. The mechanism further extends to allow for dynamic operations like insert, delete and modify on the outsourced data.
This document proposes a system for secure and dependable storage in cloud computing. It introduces key challenges with cloud data security and proposes a distributed storage solution with lightweight communication and computation. The solution ensures strong data security, fast error detection, and supports dynamic operations on outsourced data. It uses algorithms like Byzantine fault tolerance and Reed-Solomon coding to detect errors and recover from failures. An overview of the system architecture, modules, use cases and technologies used is also provided.
The document provides best practices for securing Active Directory, including establishing secure boundaries, deploying secure domain controllers, establishing secure policies, and maintaining secure operations. It recommends limiting physical access, disabling unnecessary services, using strong passwords, monitoring for changes, and staying current on security updates. The summary emphasizes maintaining secure domain controller operations, using tools like VPNs, firewalls, and intrusion detection to protect communications and assets.
Oruta privacy preserving public auditing for shared data in the cloudNexgen Technology
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
The document is a question bank for the cloud computing course CS8791. It contains 26 multiple choice or short answer questions related to key concepts in cloud computing including definitions of cloud computing, characteristics of clouds, deployment models, service models, elasticity, horizontal and vertical scaling, live migration techniques, and dynamic resource provisioning.
The document discusses distributed system models and issues in designing distributed systems. It describes three distributed system models: architectural models which describe how system components are distributed and placed, interaction models which handle timing aspects, and fault models which define how failures are handled. For architectural models, it explains the client-server and peer-to-peer models. For interaction models, it discusses synchronous and asynchronous systems. It then lists 10 issues to consider in distributed system design, such as heterogeneity, openness, security, scalability, failure handling, concurrency, transparency, quality of service, reliability, and performance.
This document discusses performance issues related to the interoperability between IEEE 802.3 (Ethernet or wired LAN) and IEEE 802.11 (wireless LAN) standards in a heterogeneous network environment. It provides an overview of the two standards, including their development and key features. The document then examines interoperability issues that can occur when combining these different network types. It describes how data is exchanged between wired and wireless networks at the data link layer. The document also presents results from a simulation that showed LAN data transfer to be faster than WLAN information exchange.
An Analysis Of Cloud ReliabilityApproaches Based on Cloud Components And Reli...ijafrc
This document discusses several techniques for improving reliability in cloud computing systems. It analyzes approaches based on cloud components and reliability techniques, including adaptive fault tolerance, cloud service reliability modeling, fault-tolerant and reliable computation, fault tolerance and resilience, fault tolerance middleware, and a system-level approach. The key components of cloud reliability are discussed, such as virtual machines, cloud managers, and fault tolerance methods. Comparisons are made between the techniques based on their methodology for measuring and ensuring reliability.
The document proposes a scheme for secure access to outsourced databases in cloud computing environments. It uses a modified row-based encryption technique where each database row is encrypted with a separate key. The scheme also uses client-side memory and selective encryption to increase performance. A modified Diffie-Hellman key exchange algorithm is used to establish secure communication between the cloud service provider and users, inhibiting malicious outsiders. The scheme aims to overcome security challenges like information leakage, key management, revocation handling and user authentication that exist in current solutions for securing outsourced databases.
Key aggregate cryptosystem for scalable data sharing in cloudMeka Subramanyam
This document presents a proposed system for secure and flexible data sharing in cloud storage. It describes using new public-key cryptosystems that can aggregate any set of secret keys into a constant-size ciphertext. This allows flexible sharing of encrypted data through an aggregate key that decrypts multiple ciphertexts without increasing in size. The system architecture includes setup, encryption, key generation, and decryption phases. The proposed system aims to address limitations in existing approaches regarding key sizes and flexibility of data access delegation.
KEY-AGGREGATE SEARCHABLE ENCRYPTION (KASE) FOR GROUP DATA SHARING VIA CLOUD ...Nexgen Technology
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Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
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Optimization of Resource Provisioning Cost in Cloud ComputingAswin Kalarickal
In cloud computing, cloud providers can offer cloud consumers two provisioning plans for computing resources, namely reservation and on‐demand plans. In general, cost of utilizing computing resources provisioned by reservation plan is cheaper than that provisioned by on‐demand plan, since cloud consumer has to pay to provider in advance. With the reservation plan, the consumer can reduce the total resource provisioning cost. However, the best advance reservation of resources is difficult to be achieved due to uncertainty of consumer's future demand and providers' resource prices. To address this problem, an optimal cloud resource provisioning (OCRP) algorithm is proposed by formulating a stochastic programming model. The OCRP algorithm can provision computing resources for being used in multiple provisioning stages as well as a long‐term plan, e.g., four stages in a quarter plan and twelve stages in a yearly plan. The demand and price uncertainty is considered in OCRP. In this paper, different approaches to obtain the solution of the OCRP algorithm are considered including deterministic equivalent formulation, sample‐average approximation, and Benders decomposition. Numerical studies are extensively performed in which the results clearly show that with the OCRP algorithm, cloud consumer can successfully minimize total cost of resource provisioning in cloud computing environments.
KEY AGGREGATE CRYPTOSYSTEM FOR SCALABLE DATA SHARING IN CLOUDNaseem nisar
1. EASiER proposes an encryption-based access control architecture for social networks that uses attribute-based encryption. It introduces a minimally trusted proxy to enable efficient revocation without reissuing keys.
2. Multi-authority attribute based encryption schemes allow multiple authorities to issue secret keys for attributes. This is useful in applications with attributes managed by different authorities.
3. Existing social network privacy architectures focus on encryption-based access control but do not address efficient revocation of users or attributes. EASiER addresses this issue.
Key aggregate searchable encryption (kase) for group data sharing via cloud s...CloudTechnologies
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The document discusses optimizing quality of service and security issues in cloud computing. It begins with an introduction to cloud computing and its benefits. It then covers cloud service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid), characteristics, architectures, transparency, energy management, security and privacy issues. It discusses solutions to security issues like access control, encryption and regional data restrictions. It also addresses application security concerns and potential solutions.
Cloud computing-security-from-single-to-multiple-140211071429-phpapp01Shivananda Rai
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3) It discusses Oracle's cloud architecture including the layers, components, and how it provides the three service models to users from a public or private cloud.
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Cloud computing involves delivering computing resources such as servers, storage, databases, networking, software, analytics and more over the internet ("the cloud"). Key aspects include on-demand self-service, broad network access, resource pooling, rapid elasticity and measured service. Major cloud computing service providers include Amazon Web Services, Microsoft Azure and Google Cloud. Cloud computing offers advantages like reduced costs, increased collaboration and flexibility.
The document discusses cloud computing and data security. It provides an overview of cloud computing including deployment models, service models, and sub-service models. It also discusses key aspects of cloud data security such as authentication using OTP, encryption of data using strong algorithms, and ensuring data integrity through hashing. The proposed cloud data security model uses three levels of defense - strong authentication through OTP, automatic encryption of data using a fast and strong algorithm, and fast recovery of user data.
This document provides a summary of a seminar presentation on cloud computing security. It begins with the names and student IDs of three presenters and their advisor. It then includes an abstract, introduction and overview of cloud computing features, categories, deployment models, and important security issues. The objectives and research questions of the presentation are outlined. A literature review discusses past research on cloud computing security techniques like encryption algorithms and key management schemes. The document provides context and outlines for the seminar presentation on securing cloud computing.
Cloud computing refers to delivering computing services over the internet. It allows users to access resources and services on-demand without needing to manage physical infrastructure. There are three main cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual computing resources, PaaS offers platforms for developing applications, and SaaS delivers software through web browsers. Cloud deployment models include public, private, hybrid, community, and multi-cloud options.
Privacy Preserving Public Auditing for Data Storage Security in Cloud Girish Chandra
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A broad overview of what it takes to be secure. This is more of an introduction where we introduce the basic terms around Cloud Computing and how do we go about securing our information assets(Data, Applications and Infrastructure)
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The cloud storage offers users with infrastructure flexibility, faster deployment of applications and data, cost
control, adaptation of cloud resources to real needs, improved productivity, etc. Inspite of these advantageous factors, there
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proof system (IPS) with the zero knowledge property is introduced to provide public auditability without downloading raw
data and protect privacy of the data. In the proposed system data owner stores the large number of data in cloud after e
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clouds and it’s maintained by CSP. An Authorized Application (AA), which holds a data owners secret key (sk) and
manipulate the outsourced data and update the associated IHT stored in TPA. Finally Cloud users access the services through
the AA. Our system also provides secure auditing while the data owner outsourcing the data in the cloud. And after
performing auditing operations, security solutions are enhanced for the purpose of detecting malicious users with the help of
Certificate Authority
Cloud computing refers to delivering computing services over the Internet. It allows users to access on-demand resources like storage, processing power, and software applications without maintaining physical infrastructure. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud services can be deployed via public, private, hybrid, or community models. Common service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
This document discusses various aspects of cloud security including cloud security challenges, areas of concern in cloud computing, how to evaluate risks, cloud computing categories, the cloud security alliance, security service boundaries, responsibilities by service models, securing data, auditing and compliance, identity management protocols, and Windows Azure identity standards. It provides information on policies, controls, and technologies used to secure cloud environments, applications, and data.
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### How TDM Works
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### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
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Decentralized cloud firewall framework with resources provisioning cost optimization
1. Global Academy Of Technology
Department of CSE
10CS85 - A Decentralized Cloud Firewall
Framework with Resources Provisioning
Cost Optimization
GUIDE – Dr. LATHA C A ALOK KUMAR(1GA12CS007)
Professor G. AISHWARYA(1GA12CS024)
GAURAV KUMAR MISHRA(1GA12CS025)
KULKARNI KEDAR RAVINDRA(1GA12CS042)
2. Index
• Objective
• Introduction
• Proposed System
• Architecture
• System requirement
• System Design
• Implementation
• Testing
• Conclusion
• Bibliography
2
3. Objective
• To optimize resources provisioning cost, while satisfying QoS
requirement at the same time.
• To establish a firewall to protect the cloud resources from the
attacks.
4. Introduction
• Cloud computing is a new flexible approach for providing higher
computational power in shared medium.
• It provides the distributed model based on self-evaluating techniques to
improve the processing capabilities of the system with lesser managerial
concerns.
• It is made up of client, application, platform, servers and infrastructures.
• we propose a decentralized cloud firewall framework.
• Firewalls are the first line when defending against malicious traffic.
• The cloud firewall is offered by Cloud Service Providers (CSP) and placed
at access points between cloud data center and the Internet.
5. Proposed System
• In proposed system, the system propose a decentralized cloud
firewall framework for individual cloud customers.
• We introduce novel queuing theory based model M/Geo/1 or
M/Geo/m for performance analysis of the proposed cloud
firewall.
• The system establish a mathematical model according to cloud
firewall rule matching discipline and derive that system
service times follow geometric distribution.
6. ADVANTAGES
• Resources are dynamically allocated to optimize the
provisioning cost, and guarantee QoS requirement specified by
customers at the same time.
• The simulation results claim that geometric distribution is
more suitable for firewall system modeling.
• It give a deep insight into tradeoff among optimal resources
provisioning cost.
• The system formulate the resources provisioning cost.
13. Implementation
Cloud Gateway
• In general computer usage, login is the procedure used to get access to an
operating system or application,
• The user ID can be freely known and is visible when entered at a keyboard
or other input device.
• The password must be kept secret (and is not displayed as it is entered).
• The Users and admin has login using this panel If the client is a user, they
go users further more Action, if the person is admin.
• They go the Admin login panel for proceed their Action
15. Implementation
Registration and Login User
• If new User need the Cloud Service.
• That users should register in site to use our service , registered users can
then enter the site by logging on.
• Who’s doesn’t have register in cloud they doesn’t use the cloud
services. And their request has denied from the cloud Server.
17. Implementation
Admin Cloud Control System
• System Admin Monitor the user s Action register user action if
untrusted means, their permission’s are denied, that user id has removed
from server.
• Control the user Action.
• If user request the firewall. System admin has provide firewall for
secure cloud service.
• So they monitor Firewall cloud user and all users.
19. Implementation
Activate Firewall Authentication
• If the User need Cloud Storage , they should have Firewall.
• Because maximum of the user request has DDOS or Edos attack or Botnet
signature in their file.
• This virus signature File affect the cloud service in server level. And total it
collapse the and attack is launch in server level.
• To Avoid these Attacks and prevent the cloud by way the Activate firewall.
• So here the user id and password we Request the firewall to the System admin.
Admin has Activate the Firewall for request User’s and proceed the cloud Storage.
21. Implementation
File Transfer in Real Cloud
• The User enter The Cloud storage Service using Their Cloud Id and
Password.
• But The User Store their Detail in real Cloud They must have Activate
Firewall.
• After Verify The Firewall Id And Then we upload The Our files and Data
in Real Cloud.
• The Users Doesn’t have Firewall Activation their Cloud service Has
Denied.
• Because The file Maybe attached in Virus signature.
23. Testing
• Test Case ID: 2
• Description: Manual Testing on User Registration
• Modules: Registration and Login User
• Prepared By: Gaurav Kumar Mishra
• Date Prepared: 26/04/2016
• Reviewed / Updated: G. Aishwarya
• Date Reviewed: 27/04/2016
• Tested By: Kedar Ravindra Kulkarni
• Date Tested: 27/04/2016
• Step Description: If new User, Registration should be done
• Expected Results: User should enter all his/her details and
successfully register. Once registration is done, one new row should be
created in user table.
• Actual Result: Pass
26. Testing
• Test Case ID:10
• Description: Manual Testing on User Login Module
• Modules: Registration and Login User
• Prepared By: Gaurav Kumar Mishra
• Date Prepared: 26/04/2016
• Reviewed / Updated: Kedar Ravindra Kulkarni, Alok Kumar
• Date Reviewed: 27/04/2016
• Tested By: Alok Kumar
• Date Tested: 27/04/2016
• Step Description: Admin view the user details
• Expected Results: Admin should be able to view the user details and
firewall details.
• Actual Result: Pass
28. Conclusion
• We propose a Cloud Trust framework, where several firewall
running in parallel to guarantee QoS requirement.
• As resources are dynamically allocated in Cloud Trust, we
investigate how to optimize the resources provisioning cost.
• We establish novel queuing theory based model for
performance analysis of the proposed Cloud Trust, where
firewall service times are modeled to follow geometric
distribution.
• Extensive simulations confirm that M/Geo/1 reflects the
Cloud Trust real system better than traditional Model.
29. Bibliography
• Z. Xiao and Y. Xiao, “Security and privacy in cloud computing,”IEEE Commun.
Surveys Tuts., vol. 15, no. 2, pp. 843–859, May 2013.
• C. Hoff. (2008). Cloud computing security: From ddos attack (dis-tributed denial
of servie) to edos (economic denial of sustainabil-ity) [Online]. Available:
http://www.rationalsurvivability.com/blog/?p=66.
• T. Ristenpart, E. Tromer, H. Shacham, and S. Savage, “Hey, you, get off of my
cloud: Exploring information leakage in third-party compute clouds,” in Proc. 16th
ACM Conf. Comput. Commun. Secu-rity , 2009, pp. 199–212.
• K. Salah, K. Elbadawi, and R. Boutaba, “Performance modeling and analysis of
network firewalls,” IEEE Trans. Netw. Serv. Man-age. , vol. 9, no. 1, pp. 12–21,
Mar. 2012
30. Bibliography
• Z. Xiao and Y. Xiao, “Security and privacy in cloud computing,”IEEE Commun.
Surveys Tuts., vol. 15, no. 2, pp. 843–859, May 2013.
• C. Hoff. (2008). Cloud computing security: From ddos attack (dis-tributed denial
of servie) to edos (economic denial of sustainabil-ity) [Online]. Available:
http://www.rationalsurvivability.com/blog/?p=66.
• T. Ristenpart, E. Tromer, H. Shacham, and S. Savage, “Hey, you, get off of my
cloud: Exploring information leakage in third-party compute clouds,” in Proc. 16th
ACM Conf. Comput. Commun. Secu-rity , 2009, pp. 199–212.
• K. Salah, K. Elbadawi, and R. Boutaba, “Performance modeling and analysis of
network firewalls,” IEEE Trans. Netw. Serv. Man-age. , vol. 9, no. 1, pp. 12–21,
Mar. 2012