This document proposes a new technique called Storage Correctness and Small-grained Access Provision (SCSAP) for secure cloud computing environments. SCSAP aims to improve on existing access control techniques by providing more fine-grained user access and ensuring correctness of outsourced cloud data storage through a token granting system. The technique constructs hierarchical user access formations and includes algorithmic phases for small-grained data access and efficient storage. If implemented, SCSAP could provide stronger security, access control and data integrity than prior cloud storage solutions.
This document summarizes a research paper that proposes a new public auditing mechanism called Panda for verifying the integrity of shared data in the cloud with efficient user revocation. Panda utilizes proxy re-signatures to allow the cloud to re-sign data blocks on behalf of existing users when a user is revoked, avoiding the need for existing users to download and re-sign blocks themselves. The proposed mechanism supports public auditing, where a third party can verify data integrity without retrieving the entire dataset from the cloud. It also enables batch auditing to verify multiple audit tasks simultaneously in a scalable manner. The system aims to improve the efficiency of user revocation for securely sharing data in cloud computing environments.
CLOUD BASED ACCESS CONTROL MODEL FOR SELECTIVE ENCRYPTION OF DOCUMENTS WITH T...IJNSA Journal
This document proposes a cloud-based access control model for selectively encrypting documents with traitor detection. It aims to address the high computational overhead of key management and secret sharing in existing attribute-based encryption approaches for cloud data security. The proposed model uses efficient algorithms and protocols like aggregate equality oblivious commitment-based envelope protocol and fast access control vector broadcast group key management to reduce overhead. It also introduces a traitor tracing technique to identify any traitors in the two-layer encryption environment for cloud computing.
DECENTRALIZED ACCESS CONTROL OF DATA STORED IN CLOUD USING KEY POLICY ATTRIBU...Migrant Systems
This document proposes a decentralized access control method for data stored in the cloud using key policy attribute-based encryption (KP-ABE). It aims to allow fine-grained access control while maintaining data confidentiality and scaling efficiently. The method defines and implements access policies based on data attributes. It also allows the data owner to delegate access control tasks to cloud servers without revealing data contents. This is achieved using a combination of decentralized KP-ABE and a time-based file deletion scheme. The proposed approach is analyzed and shown to be highly secure and efficient.
Oruta is a privacy-preserving public auditing mechanism for shared data in the cloud that:
1) Utilizes ring signatures to construct homomorphic authenticators, allowing a third party auditor to verify the integrity of shared data without retrieving the entire data while keeping the identity of the signer private.
2) Extends the mechanism to support batch auditing, enabling the verification of multiple shared data simultaneously in a single auditing task.
3) Continues to use random masking to support data privacy during public auditing and leverages index hash tables to support fully dynamic operations on shared data.
In an organization specifically as virtual as cloud there is need for access control systems to constrain
users direct or backhanded action that could lead to breach of security. In cloud, apart from owner access
to confidential data the third party auditing and accounting is done which could stir up further data leaks.
To control such data leaks and integrity, in past several security policies based on role, identity and user
attributes were proposed and found ineffective since they depend on static policies which do not monitor
data access and its origin. Provenance on the other hand tracks data usage and its origin which proves the
authenticity of data. To employ provenance in a real time system like cloud, the service provider needs to
store metadata on the subject of data alteration which is universally called as the Provenance Information.
This paper presents a provenance-policy based access control model which is designed and integrated with
the system that not only makes data auditable but also incorporates accountability for data alteration
events.
Cloud computing is rapidly emerging due to the provisioning of elastic, flexible, and on demand storage and computing services for customers. The data is usually encrypted before storing to the cloud. The access control, key management, encryption, and decryption processes are handled by the customers to ensure data security. A single key shared between all group members will result in the access of past data to a newly joining member. The aforesaid situation violates the confidentiality and the principle of least privilege.
Access Control and Revocation for Digital Assets on Cloud with Consideration ...IJERA Editor
In cloud computing applications, users’ data and applications are hosted by cloud providers. With internet and cloud availability increasing numbers of people are storing their content on cloud. Also with presence of social networking, contents stored on cloud are also shared. This requires more security for the contents on cloud. Traditional security solution address only encryption, decryption of data on cloud and its access control , but with this new trend of sharing, the scope of security becomes even higher. In this paper we propose a solution of integrated access control for contents shared on cloud and its efficient revocation.
IRJET - Efficient Public Key Cryptosystem for Scalable Data Sharing in Cloud ...IRJET Journal
This document summarizes and evaluates several existing approaches for securely sharing data stored in the cloud. It discusses key aggregate cryptosystems that allow a user to generate a single aggregate key to decrypt a set of ciphertexts. It also reviews other techniques such as attribute-based encryption with proxy re-encryption, dynamic auditing services using random sampling and fragment structures, the Oruta system using ring signatures for public auditing of shared data, and privacy-preserving public auditing using message authentication codes. The document analyzes the advantages and disadvantages of each approach, such as increased key sizes with attribute-based encryption and the storage overhead of fragment structures.
This document summarizes a research paper that proposes a new public auditing mechanism called Panda for verifying the integrity of shared data in the cloud with efficient user revocation. Panda utilizes proxy re-signatures to allow the cloud to re-sign data blocks on behalf of existing users when a user is revoked, avoiding the need for existing users to download and re-sign blocks themselves. The proposed mechanism supports public auditing, where a third party can verify data integrity without retrieving the entire dataset from the cloud. It also enables batch auditing to verify multiple audit tasks simultaneously in a scalable manner. The system aims to improve the efficiency of user revocation for securely sharing data in cloud computing environments.
CLOUD BASED ACCESS CONTROL MODEL FOR SELECTIVE ENCRYPTION OF DOCUMENTS WITH T...IJNSA Journal
This document proposes a cloud-based access control model for selectively encrypting documents with traitor detection. It aims to address the high computational overhead of key management and secret sharing in existing attribute-based encryption approaches for cloud data security. The proposed model uses efficient algorithms and protocols like aggregate equality oblivious commitment-based envelope protocol and fast access control vector broadcast group key management to reduce overhead. It also introduces a traitor tracing technique to identify any traitors in the two-layer encryption environment for cloud computing.
DECENTRALIZED ACCESS CONTROL OF DATA STORED IN CLOUD USING KEY POLICY ATTRIBU...Migrant Systems
This document proposes a decentralized access control method for data stored in the cloud using key policy attribute-based encryption (KP-ABE). It aims to allow fine-grained access control while maintaining data confidentiality and scaling efficiently. The method defines and implements access policies based on data attributes. It also allows the data owner to delegate access control tasks to cloud servers without revealing data contents. This is achieved using a combination of decentralized KP-ABE and a time-based file deletion scheme. The proposed approach is analyzed and shown to be highly secure and efficient.
Oruta is a privacy-preserving public auditing mechanism for shared data in the cloud that:
1) Utilizes ring signatures to construct homomorphic authenticators, allowing a third party auditor to verify the integrity of shared data without retrieving the entire data while keeping the identity of the signer private.
2) Extends the mechanism to support batch auditing, enabling the verification of multiple shared data simultaneously in a single auditing task.
3) Continues to use random masking to support data privacy during public auditing and leverages index hash tables to support fully dynamic operations on shared data.
In an organization specifically as virtual as cloud there is need for access control systems to constrain
users direct or backhanded action that could lead to breach of security. In cloud, apart from owner access
to confidential data the third party auditing and accounting is done which could stir up further data leaks.
To control such data leaks and integrity, in past several security policies based on role, identity and user
attributes were proposed and found ineffective since they depend on static policies which do not monitor
data access and its origin. Provenance on the other hand tracks data usage and its origin which proves the
authenticity of data. To employ provenance in a real time system like cloud, the service provider needs to
store metadata on the subject of data alteration which is universally called as the Provenance Information.
This paper presents a provenance-policy based access control model which is designed and integrated with
the system that not only makes data auditable but also incorporates accountability for data alteration
events.
Cloud computing is rapidly emerging due to the provisioning of elastic, flexible, and on demand storage and computing services for customers. The data is usually encrypted before storing to the cloud. The access control, key management, encryption, and decryption processes are handled by the customers to ensure data security. A single key shared between all group members will result in the access of past data to a newly joining member. The aforesaid situation violates the confidentiality and the principle of least privilege.
Access Control and Revocation for Digital Assets on Cloud with Consideration ...IJERA Editor
In cloud computing applications, users’ data and applications are hosted by cloud providers. With internet and cloud availability increasing numbers of people are storing their content on cloud. Also with presence of social networking, contents stored on cloud are also shared. This requires more security for the contents on cloud. Traditional security solution address only encryption, decryption of data on cloud and its access control , but with this new trend of sharing, the scope of security becomes even higher. In this paper we propose a solution of integrated access control for contents shared on cloud and its efficient revocation.
IRJET - Efficient Public Key Cryptosystem for Scalable Data Sharing in Cloud ...IRJET Journal
This document summarizes and evaluates several existing approaches for securely sharing data stored in the cloud. It discusses key aggregate cryptosystems that allow a user to generate a single aggregate key to decrypt a set of ciphertexts. It also reviews other techniques such as attribute-based encryption with proxy re-encryption, dynamic auditing services using random sampling and fragment structures, the Oruta system using ring signatures for public auditing of shared data, and privacy-preserving public auditing using message authentication codes. The document analyzes the advantages and disadvantages of each approach, such as increased key sizes with attribute-based encryption and the storage overhead of fragment structures.
IRJET- An Efficient Data Sharing Scheme in Mobile Cloud Computing using Attri...IRJET Journal
This document proposes an efficient data sharing scheme for mobile cloud computing using attribute-based encryption. It discusses challenges with securely storing data in the cloud, including ensuring data confidentiality and integrity. Existing techniques like fully homomorphic encryption and attribute-based encryption are reviewed, but have limitations for resource-constrained mobile devices. The proposed scheme aims to provide security while reducing computational overhead, through using proxy servers to handle intensive operations and a lazy re-encryption approach for user revocation. It also discusses using provable data possession techniques to verify the integrity of outsourced data.
A Secure, Scalable, Flexible and Fine-Grained Access Control Using Hierarchic...Editor IJCATR
Cloud Computing is going to be very popular technology in IT enterprises. For any enterprise the data stored is very huge
and invaluable. Since all tasks are performed through network it has become vital to have the secured use of legitimate data. In cloud
computing the most important matter of concern are data security and privacy along with flexibility, scalability and fine grained access
control of data being the other requirements to be maintained by cloud systems Access control is one of the prominent research topics
and hence various schemes have been proposed and implemented. But most of them do not provide flexibility, scalability and fine
grained access control of the data on the cloud. In order to address the issues of flexibility, scalability and fine grained access control
of remotely stored data on cloud we have proposed the hierarchical attribute set-based encryption (HASBE) which is the extension of
attribute- set-based encryption(ASBE) with a hierarchical structure of users. The proposed scheme achieves scalability by handling the
authority to appropriate entity in the hierarchical structure, inherits flexibility by allowing easy transfer and access to the data in case
of location switch. It provides fine grained access control of data by showing only the requested and authorized details to the user thus
improving the performance of the system. In addition, it provides efficient user revocation within expiration time, request to view
extra-attributes and privacy in the intra-level hierarchy is achieved. Thus the scheme is implemented to show that is efficient in access
control of data as well as security of data stored on cloud with comprehensive experiments
The document proposes a Session Based Ciphertext Policy Attribute Based Encryption (SB-CP-ABE) method for access control in cloud storage. SB-CP-ABE aims to enable efficient key refreshing and revocation in ciphertext policy attribute based encryption (CP-ABE) schemes. It introduces the concept of associating private keys with sessions, so that key updates and revocations only need to be done at session boundaries, avoiding the need for frequent re-encryption of ciphertexts. The method can be generically applied to existing CP-ABE schemes to improve their practicality for cloud storage environments.
The Recent Trend: Vigorous unidentified validation access control system with...IJERA Editor
Service Providers can grow their business by selling our cloud authentication service that can be fully branded
to the Service Provider or if required a Service. The proposed enhanced decentralized access control scheme for
secure data storage in clouds that supports anonymous authentication. In the proposed scheme, the cloud verifies
the authenticity of the series without knowing the user’s identity before storing data. The scheme also has the
added feature of access control in which only valid users are able to decrypt the stored information. The scheme
prevents replay attacks and supports creation, modification, and reading data stored in the cloud. It addresses
user revocation. Moreover, our authentication and access control scheme is decentralized and robust, unlike
other access control schemes designed for clouds which are centralized. The communication, hiding attributes,
increasing high security in access, computation, and storage overheads are comparable to centralized
approaches.
In Existing, it is based on ABE (attribute based encryption) technique which is a centralized approach, where a
single Key Distribution Centre (KDC) distributes secret keys and attributes to all users using asymmetric key
approach. We propose a new decentralized access control method for storing data by providing security in
clouds and also we hide the attributes and access rule of a user. The cloud validates the authentication of the
sequence without knowing the users characteristics previous to the data store. By using this approach only
certified users have right to use the suitable attributes. In future, time based file revocation scheme can be used
to assure the deletion of a file. When time limit of a file expires, we implement the policy based renewal of time
to that file.
This document proposes a novel role-based cross-domain access control scheme for cloud storage. It aims to address problems with time constraints and location constraints when accessing data across different cloud domains. The proposed scheme combines domain RBAC, role-based access control, and attribute-based access control. Each user is assigned attributes and roles. Data is encrypted with attribute-based encryption before being uploaded. Domains are separated and manage their own users, roles, and permissions to allow cross-domain access while minimizing time delays in accessing data located in different domains.
Centralized Data Verification Scheme for Encrypted Cloud Data ServicesEditor IJMTER
Cloud environment supports data sharing between multiple users. Data integrity is violated
due to hardware / software failures and human errors. Data owners and public verifiers are involved to
efficiently audit cloud data integrity without retrieving the entire data from the cloud server. File and
block signatures are used in the integrity verification process.
“One Ring to RUle Them All” (Oruta) scheme is used for privacy-preserving public auditing process. In
oruta homomorphic authenticators are constructed using Ring Signatures. Ring signatures are used to
compute verification metadata needed to audit the correctness of shared data. The identity of the signer
on each block in shared data is kept private from public verifiers. Homomorphic authenticable ring
signature (HARS) scheme is applied to provide identity privacy with blockless verification. Batch
auditing mechanism supports to perform multiple auditing tasks simultaneously. Oruta is compatible
with random masking to preserve data privacy from public verifiers. Dynamic data management process
is handled with index hash tables. Traceability is not supported in oruta scheme. Data dynamism
sequence is not managed by the system. The system obtains high computational overhead
The proposed system is designed to perform public data verification with privacy. Traceability features
are provided with identity privacy. Group manager or data owner can be allowed to reveal the identity of
the signer based on verification metadata. Data version management mechanism is integrated with the
system.
CLOUD BASED ACCESS CONTROL MODEL FOR SELECTIVE ENCRYPTION OF DOCUMENTS WITH T...IJNSA Journal
Cloud computing refers to a type of networked computing whereby an application can be run on connected servers instead of local servers. Cloud can be used to store data, share resources and also to provide services. Technically, there is very little difference between public and private cloud architecture. However, the security and privacy of the data is a very big issue when sensitive data is being entrusted to third party cloud service providers. Thus encryption with a fine grained access control is inevitable to enforce security in clouds. Several techniques implementing attribute based encryption for fine grained access control have been proposed. Under such approaches, the key management overhead is a little bit high in terms of computational complexity. Also, secret sharing mechanisms have added complexity. Moreover, they lack mechanisms to handle existence of traitors. Our proposed approach addresses these requirements and reduces the overhead of the key management as well as secret sharing by using efficient algorithms and protocols. Also, a traitor tracing technique is introduced into the cloud computing two layer encryption environment.
This document proposes the Cloud Information Accountability (CIA) framework to address issues of data protection and user control in cloud computing. The CIA framework uses a decentralized, object-centered approach to automatically log all access to user data in the cloud. It includes logger and log harmonizer components that are strongly coupled with user data to track usage and ensure policies are followed. This framework allows data owners to audit data usage and enforce protections. The proposed approach aims to provide accountability and strengthen user control in cloud environments.
This document proposes the Cloud Information Accountability (CIA) framework to address issues of data protection and user control in cloud computing. The CIA framework uses a decentralized, object-centered approach to automatically log all access to user data in the cloud. It includes logger and log harmonizer components that are strongly coupled with user data to track usage according to access and usage control policies. This logging mechanism provides end-to-end accountability across the complex cloud service chain in a platform-independent and highly distributed manner, allowing users to audit their data usage and enforce protections when needed.
This document proposes the Cloud Information Accountability (CIA) framework to address issues of data protection and user control in cloud computing. The CIA framework uses a decentralized, object-centered approach to automatically log all access to user data in the cloud. It includes logger and log harmonizer components that are strongly coupled with user data to track usage according to access and usage control policies. This logging mechanism provides end-to-end accountability across the complex cloud service chain in a platform-independent and highly distributed manner, allowing users to audit their data usage and enforce protections when needed.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency and control over outsourced data while being platform independent and scalable.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency, enforce usage controls, and strengthen user control over their cloud data.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency, enforce usage control policies, and strengthen user control over their cloud data.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency and control over outsourced data while being platform independent and scalable.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust in cloud service providers and difficulties with compliance. The CIA framework uses a decentralized, object-centered approach to automatically log any access to user data in the cloud. It includes a logger that is coupled with user data and policies to enforce access controls. The CIA allows data owners to audit how their content is used and distribute auditing responsibilities. The proposed approach aims to provide transparency, usage control and accountability for data in cloud computing environments.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust in cloud service providers and difficulties with compliance. The CIA framework uses a decentralized, object-centered approach to automatically log any access to user data in the cloud. It includes a logger that is coupled with user data and policies to track usage. The CIA allows data owners to audit data and enforce usage controls. The proposed approach aims to provide accountability and transparency for data handling in dynamic cloud environments.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency and control over how user data is handled while being platform independent and scalable.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency, enforce usage controls, and strengthen user control over their cloud data.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency and control over outsourced data while being platform independent and scalable.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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This document proposes an efficient data sharing scheme for mobile cloud computing using attribute-based encryption. It discusses challenges with securely storing data in the cloud, including ensuring data confidentiality and integrity. Existing techniques like fully homomorphic encryption and attribute-based encryption are reviewed, but have limitations for resource-constrained mobile devices. The proposed scheme aims to provide security while reducing computational overhead, through using proxy servers to handle intensive operations and a lazy re-encryption approach for user revocation. It also discusses using provable data possession techniques to verify the integrity of outsourced data.
A Secure, Scalable, Flexible and Fine-Grained Access Control Using Hierarchic...Editor IJCATR
Cloud Computing is going to be very popular technology in IT enterprises. For any enterprise the data stored is very huge
and invaluable. Since all tasks are performed through network it has become vital to have the secured use of legitimate data. In cloud
computing the most important matter of concern are data security and privacy along with flexibility, scalability and fine grained access
control of data being the other requirements to be maintained by cloud systems Access control is one of the prominent research topics
and hence various schemes have been proposed and implemented. But most of them do not provide flexibility, scalability and fine
grained access control of the data on the cloud. In order to address the issues of flexibility, scalability and fine grained access control
of remotely stored data on cloud we have proposed the hierarchical attribute set-based encryption (HASBE) which is the extension of
attribute- set-based encryption(ASBE) with a hierarchical structure of users. The proposed scheme achieves scalability by handling the
authority to appropriate entity in the hierarchical structure, inherits flexibility by allowing easy transfer and access to the data in case
of location switch. It provides fine grained access control of data by showing only the requested and authorized details to the user thus
improving the performance of the system. In addition, it provides efficient user revocation within expiration time, request to view
extra-attributes and privacy in the intra-level hierarchy is achieved. Thus the scheme is implemented to show that is efficient in access
control of data as well as security of data stored on cloud with comprehensive experiments
The document proposes a Session Based Ciphertext Policy Attribute Based Encryption (SB-CP-ABE) method for access control in cloud storage. SB-CP-ABE aims to enable efficient key refreshing and revocation in ciphertext policy attribute based encryption (CP-ABE) schemes. It introduces the concept of associating private keys with sessions, so that key updates and revocations only need to be done at session boundaries, avoiding the need for frequent re-encryption of ciphertexts. The method can be generically applied to existing CP-ABE schemes to improve their practicality for cloud storage environments.
The Recent Trend: Vigorous unidentified validation access control system with...IJERA Editor
Service Providers can grow their business by selling our cloud authentication service that can be fully branded
to the Service Provider or if required a Service. The proposed enhanced decentralized access control scheme for
secure data storage in clouds that supports anonymous authentication. In the proposed scheme, the cloud verifies
the authenticity of the series without knowing the user’s identity before storing data. The scheme also has the
added feature of access control in which only valid users are able to decrypt the stored information. The scheme
prevents replay attacks and supports creation, modification, and reading data stored in the cloud. It addresses
user revocation. Moreover, our authentication and access control scheme is decentralized and robust, unlike
other access control schemes designed for clouds which are centralized. The communication, hiding attributes,
increasing high security in access, computation, and storage overheads are comparable to centralized
approaches.
In Existing, it is based on ABE (attribute based encryption) technique which is a centralized approach, where a
single Key Distribution Centre (KDC) distributes secret keys and attributes to all users using asymmetric key
approach. We propose a new decentralized access control method for storing data by providing security in
clouds and also we hide the attributes and access rule of a user. The cloud validates the authentication of the
sequence without knowing the users characteristics previous to the data store. By using this approach only
certified users have right to use the suitable attributes. In future, time based file revocation scheme can be used
to assure the deletion of a file. When time limit of a file expires, we implement the policy based renewal of time
to that file.
This document proposes a novel role-based cross-domain access control scheme for cloud storage. It aims to address problems with time constraints and location constraints when accessing data across different cloud domains. The proposed scheme combines domain RBAC, role-based access control, and attribute-based access control. Each user is assigned attributes and roles. Data is encrypted with attribute-based encryption before being uploaded. Domains are separated and manage their own users, roles, and permissions to allow cross-domain access while minimizing time delays in accessing data located in different domains.
Centralized Data Verification Scheme for Encrypted Cloud Data ServicesEditor IJMTER
Cloud environment supports data sharing between multiple users. Data integrity is violated
due to hardware / software failures and human errors. Data owners and public verifiers are involved to
efficiently audit cloud data integrity without retrieving the entire data from the cloud server. File and
block signatures are used in the integrity verification process.
“One Ring to RUle Them All” (Oruta) scheme is used for privacy-preserving public auditing process. In
oruta homomorphic authenticators are constructed using Ring Signatures. Ring signatures are used to
compute verification metadata needed to audit the correctness of shared data. The identity of the signer
on each block in shared data is kept private from public verifiers. Homomorphic authenticable ring
signature (HARS) scheme is applied to provide identity privacy with blockless verification. Batch
auditing mechanism supports to perform multiple auditing tasks simultaneously. Oruta is compatible
with random masking to preserve data privacy from public verifiers. Dynamic data management process
is handled with index hash tables. Traceability is not supported in oruta scheme. Data dynamism
sequence is not managed by the system. The system obtains high computational overhead
The proposed system is designed to perform public data verification with privacy. Traceability features
are provided with identity privacy. Group manager or data owner can be allowed to reveal the identity of
the signer based on verification metadata. Data version management mechanism is integrated with the
system.
CLOUD BASED ACCESS CONTROL MODEL FOR SELECTIVE ENCRYPTION OF DOCUMENTS WITH T...IJNSA Journal
Cloud computing refers to a type of networked computing whereby an application can be run on connected servers instead of local servers. Cloud can be used to store data, share resources and also to provide services. Technically, there is very little difference between public and private cloud architecture. However, the security and privacy of the data is a very big issue when sensitive data is being entrusted to third party cloud service providers. Thus encryption with a fine grained access control is inevitable to enforce security in clouds. Several techniques implementing attribute based encryption for fine grained access control have been proposed. Under such approaches, the key management overhead is a little bit high in terms of computational complexity. Also, secret sharing mechanisms have added complexity. Moreover, they lack mechanisms to handle existence of traitors. Our proposed approach addresses these requirements and reduces the overhead of the key management as well as secret sharing by using efficient algorithms and protocols. Also, a traitor tracing technique is introduced into the cloud computing two layer encryption environment.
This document proposes the Cloud Information Accountability (CIA) framework to address issues of data protection and user control in cloud computing. The CIA framework uses a decentralized, object-centered approach to automatically log all access to user data in the cloud. It includes logger and log harmonizer components that are strongly coupled with user data to track usage and ensure policies are followed. This framework allows data owners to audit data usage and enforce protections. The proposed approach aims to provide accountability and strengthen user control in cloud environments.
This document proposes the Cloud Information Accountability (CIA) framework to address issues of data protection and user control in cloud computing. The CIA framework uses a decentralized, object-centered approach to automatically log all access to user data in the cloud. It includes logger and log harmonizer components that are strongly coupled with user data to track usage according to access and usage control policies. This logging mechanism provides end-to-end accountability across the complex cloud service chain in a platform-independent and highly distributed manner, allowing users to audit their data usage and enforce protections when needed.
This document proposes the Cloud Information Accountability (CIA) framework to address issues of data protection and user control in cloud computing. The CIA framework uses a decentralized, object-centered approach to automatically log all access to user data in the cloud. It includes logger and log harmonizer components that are strongly coupled with user data to track usage according to access and usage control policies. This logging mechanism provides end-to-end accountability across the complex cloud service chain in a platform-independent and highly distributed manner, allowing users to audit their data usage and enforce protections when needed.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency and control over outsourced data while being platform independent and scalable.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency, enforce usage controls, and strengthen user control over their cloud data.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency, enforce usage control policies, and strengthen user control over their cloud data.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency and control over outsourced data while being platform independent and scalable.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust in cloud service providers and difficulties with compliance. The CIA framework uses a decentralized, object-centered approach to automatically log any access to user data in the cloud. It includes a logger that is coupled with user data and policies to enforce access controls. The CIA allows data owners to audit how their content is used and distribute auditing responsibilities. The proposed approach aims to provide transparency, usage control and accountability for data in cloud computing environments.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust in cloud service providers and difficulties with compliance. The CIA framework uses a decentralized, object-centered approach to automatically log any access to user data in the cloud. It includes a logger that is coupled with user data and policies to track usage. The CIA allows data owners to audit data and enforce usage controls. The proposed approach aims to provide accountability and transparency for data handling in dynamic cloud environments.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency and control over how user data is handled while being platform independent and scalable.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency, enforce usage controls, and strengthen user control over their cloud data.
This document proposes a Cloud Information Accountability (CIA) framework to address lack of trust and compliance issues in cloud computing. The CIA framework uses a decentralized logging and auditing approach to track data usage in dynamic cloud environments. It includes a logger that is coupled with user data and policies to log all access, and a log harmonizer that periodically sends logs to data owners for auditing. The proposed approach aims to provide transparency and control over outsourced data while being platform independent and scalable.
Similar to Cloud Computing Environment using Secured Access Control Technique (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
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%.