An Attribute-based Controlled Collaborative Access Control Scheme for Public Cloud Storage
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A Fully Anonymous Attribute-Based Encryption to Control Cloud Data Access and...Pawan Arya
To design and implement a multi authority fully anonymous Attribute Based Encryption control scheme to address the data privacy and user identity privacy problems in cloud computing environment .
Attribute-based encryption (ABE) is a public-key based one-to-many encryption that allows users to encrypt and decrypt data based on user attributes.
A promising application of ABE is flexible access control of encrypted data stored in the cloud, using access polices and ascribed attributes associated with private keys and ciphertexts.One of the main efficiency drawbacks of the existing ABE schemes is that decryption involves expensive pairing operations and the number of such operations grows with the complexity of the access policy. Recently, Green et al. proposed an ABE system with outsourced decryption that largely eliminates the decryption overhead for users.
In such a system, a user provides an untrusted server, say a cloud service provider, with a transformation key that allows the cloud to translate any ABE cipher text satisfied by that user’s attributes or access policy into a simple cipher text, and it only incurs a small computational overhead for the user to recover the plaintext from the transformed cipher text.
Security of an ABE system with outsourced decryption ensures that an adversary (including a malicious cloud) will not be able to learn anything about the encrypted message; however, it does not guarantee the correctness of the transformation done by the cloud.
In this paper, we consider a new requirement of ABE with outsourced decryption: verifiability. Informally, verifiability guarantees that a user can efficiently check if the transformation is done correctly.
We give the formal model of ABE with verifiable outsourced decryption and propose a concrete scheme. We prove that our new scheme is both secure and verifiable, without relying on random oracles.
Finally, we show an implementation of our scheme and result of performance measurements, which indicates a significant reduction on computing resources imposed on users.
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A Fully Anonymous Attribute-Based Encryption to Control Cloud Data Access and...Pawan Arya
To design and implement a multi authority fully anonymous Attribute Based Encryption control scheme to address the data privacy and user identity privacy problems in cloud computing environment .
Attribute-based encryption (ABE) is a public-key based one-to-many encryption that allows users to encrypt and decrypt data based on user attributes.
A promising application of ABE is flexible access control of encrypted data stored in the cloud, using access polices and ascribed attributes associated with private keys and ciphertexts.One of the main efficiency drawbacks of the existing ABE schemes is that decryption involves expensive pairing operations and the number of such operations grows with the complexity of the access policy. Recently, Green et al. proposed an ABE system with outsourced decryption that largely eliminates the decryption overhead for users.
In such a system, a user provides an untrusted server, say a cloud service provider, with a transformation key that allows the cloud to translate any ABE cipher text satisfied by that user’s attributes or access policy into a simple cipher text, and it only incurs a small computational overhead for the user to recover the plaintext from the transformed cipher text.
Security of an ABE system with outsourced decryption ensures that an adversary (including a malicious cloud) will not be able to learn anything about the encrypted message; however, it does not guarantee the correctness of the transformation done by the cloud.
In this paper, we consider a new requirement of ABE with outsourced decryption: verifiability. Informally, verifiability guarantees that a user can efficiently check if the transformation is done correctly.
We give the formal model of ABE with verifiable outsourced decryption and propose a concrete scheme. We prove that our new scheme is both secure and verifiable, without relying on random oracles.
Finally, we show an implementation of our scheme and result of performance measurements, which indicates a significant reduction on computing resources imposed on users.
http://kaashivinfotech.com/
http://inplanttrainingchennai.com/
http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
http://inplanttraining-in-chennai.com/
http://inplanttrainingchennai.com/
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
Privacy Preserving Public Auditing for Data Storage Security in Cloud.pptGirish Chandra
Introducing TPA(Third Party Auditor) to the cloud.It sends the information about the data stored in the cloud.It informs the user when any unauthorized user tries to steal his data from the cloud.
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 .
Privacy preserving public auditing for regenerating-code-based cloud storageLeMeniz Infotech
Privacy preserving public auditing for regenerating-code-based cloud storage
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A Survey on Access Control Mechanisms using Attribute Based Encryption in cloudijsrd.com
Cloud computing is an emerging computing technology that enables users to distantly store their data into a cloud so as to enjoy scalable services when required. And user can outsource their resources to server (also called cloud) using Internet. Security is one of the major issues which reduces the growth of cloud computing and complications with data privacy and data protection continue to plague the market. Attribute-based encryption (ABE) can be used for log encryption. This survey is more specific to the different security issues on data access in cloud environment.
Privacy Preserving Public Auditing for Data Storage Security in Cloud.pptGirish Chandra
Introducing TPA(Third Party Auditor) to the cloud.It sends the information about the data stored in the cloud.It informs the user when any unauthorized user tries to steal his data from the cloud.
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 .
Privacy preserving public auditing for regenerating-code-based cloud storageLeMeniz Infotech
Privacy preserving public auditing for regenerating-code-based cloud storage
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
A Survey on Access Control Mechanisms using Attribute Based Encryption in cloudijsrd.com
Cloud computing is an emerging computing technology that enables users to distantly store their data into a cloud so as to enjoy scalable services when required. And user can outsource their resources to server (also called cloud) using Internet. Security is one of the major issues which reduces the growth of cloud computing and complications with data privacy and data protection continue to plague the market. Attribute-based encryption (ABE) can be used for log encryption. This survey is more specific to the different security issues on data access in cloud environment.
Several Data Security Methodology has been noticed, with recent adoption and spreading of data sharing. One of the most interesting and definitive approach is Cipher text-Policy Attribute-Based Encryption (CP-ABE).CP-ABE provides us with the indulgement of the access policies and its updates. It is used to set or control outsourcing of data sharing; it deals with the issues in CP-ABE. This solution allows encryptor to deals with the access control with respect to the access formula. The lacking of reliability factor lead to weaken the system, therefore we will amplify CB-ABE by introducing some factor. Key Generation center (KGC) and data storing center are the highlighted factors. KGC deals with the drawback of Key escrow problem. As KGC can decrypt the users data as per KGC`s concerns, causing threat to the data sharing Systems. This is not favorable for the distributed scheme where KGC is not trustworthy. Along with the key escrow problem, we will be concerning with the problem of key-revocation that is degradation because of windows of vulnerability. These issues are solved by exploiting the features characteristics of Architecture. The problem of key-escrow is resolved using 2-pc protocol. And Key-revocation is proceeding by using proxy encryption.
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
Data get to control is a powerful method to guarantee the data security in the cloud. Because of information
out sourcing and un confided in cloud servers, the information get to control turns into a testing issue in cloud
storage systems. Cipher text-Policy Attribute Based Encryption (CP-ABE) is viewed as a standout amongst
the most reasonable advancements for information get to control in distributed storage, since it gives
straightforward control access to the owners. It is hard to implement the existing CP-ABE schemes to access
the information from cloud storage systems. we propose a plan to structure the information securing control in
a revocable multi-expert CP-ABE conspire from cloud storage 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.
In attribute based encryption (ABE) scheme, attributes plays a very important role. Attribute –based encryption provides privacy protection for the users by a set of attributes. Now a days as cloud is most widely used in mostly all fields so there is need of keeping data more secure and confidential which is outsourced on the cloud. Security of the data in cloud database server is the key area of concern in the acceptance of cloud. It is required very high degree of privacy and authentication. In existing system used hierarchical authorization structure to reduce the burden and risk of a single authority .this paper proposes a hierarchical attribute based encryption which directly provides attribute value by user as well as data stored in different types of media.
A robust and verifiable threshold multi authority access control system in pu...IJARIIT
Attribute-based Encryption is observed as a promising cryptographic leading tool to assurance data owners’ direct
regulator over their data in public cloud storage. The former ABE schemes include only one authority to maintain the whole
attribute set, which can carry a single-point bottleneck on both security and performance. Then, certain multi-authority
schemes are planned, in which numerous authorities distinctly maintain split attribute subsets. However, the single-point
bottleneck problem remains unsolved. In this survey paper, from another perspective, we conduct a threshold multi-authority
CP-ABE access control scheme for public cloud storage, named TMACS, in which multiple authorities jointly manage a
uniform attribute set. In TMACS, taking advantage of (t, n) threshold secret allocation, the master key can be shared among
multiple authorities, and a lawful user can generate his/her secret key by interacting with any t authorities. Security and
performance analysis results show that TMACS is not only verifiable secure when less than t authorities are compromised, but
also robust when no less than t authorities are alive in the system. Also, by efficiently combining the traditional multi-authority
scheme with TMACS, we construct a hybrid one, which satisfies the scenario of attributes coming from different authorities as
well as achieving security and system-level robustness.
A PRACTICAL CLIENT APPLICATION BASED ON ATTRIBUTE-BASED ACCESS CONTROL FOR UN...cscpconf
One of widely used cryptographic primitives for the cloud application is Attribute Based Encryption (ABE) where users can have their own attributes and a ciphertext encrypted by an access policy. Though ABE provides many benefits, the novelty often only exists in an academic world and it is often difficult to find a practical use of ABE for a real application. In this paper, we discuss the design and implementation of a cloud storage client application which supports the concept of ABE. Our proposed client provides an effective access control mechanism where it allows different types of access policy to be defined thus allowing large datasets to be shared by multiple users. Using different access policy, each user only needs to access only a small part of the big data. The goal of our experiment is to explore the right set of strategies for developing a practical ABE-based system. Through the implementation and evaluation, we have determined the various characteristics and issues associated with developing a practical ABEbased
application.
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.
Messages addressed to specific users can be decrypted by Key Generation Centre (KGC) by generating their private keys. Data owner wants the data to be delivered only to specified user and not to unauthorized person that is the data owner makes their private data accessible only to authorized person. We propose attribute based encryption and escrow problem which means written agreement delivered to a third party to overcome this problem. Attribute based Encryption (ABE) is a type of public-key encryption in which the private key of a user and the cipher text are dependent upon attributes. It is a promising cryptographic approach.
Decentralized access control with anonymous authentication of data stored in ...LeMeniz Infotech
Decentralized access control with anonymous authentication of data stored in clouds parallel distributed systems
We propose a new 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. Our 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. We also address 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, computation, and storage overheads are comparable to centralized approaches.
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.
Similar to An Attribute-based Controlled Collaborative Access Control Scheme for Public Cloud Storage (20)
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Brain Tumor Detection and Classification Using Artificial Intelligence
Classification of Potholes using Convolutional Neural Network Model
Deep Learning Based Parkinson's Disease Progression Analysis Using DaTscan Images
Artificial Intelligence based Facial Emotions Analysis for Depression Detection
Grading Of Diabetic Retinopathy Using Deep Learning
Identification of Plant Disease from Leaf Images Based on Convolutional Neural Network
Knee Osteoarthritis Detection and Classification Using X-Rays
Weeds and Crop Image Classification using Deep Learning Technique
URL Based Phishing Website Detection using Machine Learning Models
AI-based Gender Identification using Facial Features
Skin Disease Classification using Deep Learning
Driver Drowsiness Detection System Using Image Processing
Classification of Leukemia White Blood Cell Cancer using Image Processing and Machine Learning
Age Prediction through Facial Images using Deep Learning
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Video-Based Driver Drowsiness Detection System
Enhanced Fog Detection and Visibility Measurement in Adverse Weather Conditions
Flower Species Detection using Machine Learning Technique
Face Recognition and Expression Detection for the Visually Impaired
Night Time Vehicle Detection Using Image Processing and Linear SVM
Human Action Recognition using Image Processing and Nearest Mean Classifier
Traffic Light Controller System and Road Congestion Detection based on Counting of Vehicles
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Effective Detection of Copy Move Forgery using HOG and Machine Learning
Traffic Sign Detection and Classification using HOG and SVM
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Blood Cancer Identification using Hybrid Ensemble Deep Learning Technique
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Development of Hybrid Image Caption Generation Method using Deep Learning
Dog Breed Classification using Inception-ResNet-V2
Forest Fire Detection using Convolutional Neural Networks (CNN)
Digital Image Forgery Detection Using Deep Learning
Image-Based Bird Species Identification Using Machine Learning
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Medicinal Herbs Identification
Monkeypox Diagnosis with Interpretable Deep Learning
Music Genre Classification Using Convolutional Neural Network
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Prediction of Lung Cancer using Convolution Neural Networks
Signature Fraud Detection using Deep Learning
Skin Cancer Prediction Using Deep Learning Techniques
Traffic Sign Classification using Deep Learning
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MACHINE LEARNING IEEE PROJECTS 2023
A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
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Cyber Hacking Breaches Prediction and Detection Using Machine Learning
Fake Profile Detection on Social Networking Websites using Machine Learning
Crime Prediction Using Machine Learning and Deep Learning
Drug Recommendation System in Medical Emergencies using Machine Learning
Efficient Machine Learning Algorithm for Future Gold Price Prediction
Heart Disease Prediction With Machine Learning
House Price Prediction using Machine Learning Algorithm
Human Stress Detection Based on Sleeping Habits Using Machine Learning Algorithms
Sentiment Classification using N-gram IDF and Automated Machine LearningJAYAPRAKASH JPINFOTECH
Sentiment Classification using N-gram IDF and Automated Machine Learning
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Privacy-Preserving Social Media DataPublishing for Personalized Ranking-Based...JAYAPRAKASH JPINFOTECH
Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation
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FunkR-pDAE: Personalized Project Recommendation Using Deep Learning
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Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine
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Crop Yield Prediction and Efficient use of Fertilizers
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Collaborative Filtering-based Electricity Plan Recommender System
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Achieving Data Truthfulness and Privacy Preservation in Data Markets
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V2V Routing in a VANET Based on the Auto regressive Integrated Moving Average Model
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Selective Authentication Based Geographic Opportunistic Routing in Wireless Sensor Networks for Internet of Things Against DoS Attacks
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Robust Defense Scheme Against Selective DropAttack in Wireless Ad Hoc Networks
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Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authentication in VANETs
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Novel Intrusion Detection and Prevention for Mobile Ad Hoc Networks
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
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An Attribute-based Controlled Collaborative Access Control Scheme for Public Cloud Storage
1. An Attribute-based Controlled Collaborative Access Control
Scheme for Public Cloud Storage
ABSTRACT:
In public cloud storage services, data are outsourced to semi-trusted cloud servers
which are outside of data owners’ trusted domain. To prevent untrustworthy
service providers from accessing data owners’ sensitive data, outsourced data are
often encrypted. In this scenario, how to conduct access control over these data
becomes a challenging issue. Attribute Based Encryption (ABE) has been proven
to be a powerful cryptographic tool to express access policies over attributes,
which can provide a fine-grained, flexible, and secure access control over
outsourced data. However, existing ABE-based access control schemes do not
support users to gain the access permission by collaboration. In this paper, we
explore a special attribute-based access control scenario where multiple users
having different attribute sets can collaborate to gain access permission if the data
owner allows their collaboration in the access policy. Meanwhile, the collaboration
that is not designated in the access policy should be regarded as a collusion and the
access request will be denied. We propose an attribute-based controlled
collaborative access control scheme through designating translation nodes in the
access structure. Security analysis shows that our proposed scheme can guarantee
data confidentiality and has many other critical security properties. Extensive
performance analysis shows that our proposed scheme is efficient in terms of
storage and computation overhead.
SYSTEM REQUIREMENTS:
2. HARDWARE REQUIREMENTS:
System : Pentium Dual Core.
Hard Disk : 120 GB.
Monitor : 15’’ LED
Input Devices : Keyboard, Mouse
Ram : 1 GB
SOFTWARE REQUIREMENTS:
Operating system : Windows 7.
Coding Language : JAVA.
Tool : Netbeans 7.2.1
Database : MYSQL
REFERENCE:
Yingjie Xue, Kaiping Xue, Senior Member, IEEE, Na Gai, Jianan Hong, David
S.L. Wei, Senior Member, IEEE, and Peilin Hong, “An Attribute-based Controlled
Collaborative Access Control Scheme for Public Cloud Storage”, IEEE
Transactions on Information Forensics and Security, Volume: 14 , Issue: 11 , Nov.
2019.