Attribute-Based Encryption for Preserving Smart Home Data Privacy

2017 ◽  
pp. 185-197 ◽  
Author(s):  
Rasel Chowdhury ◽  
Hakima Ould-Slimane ◽  
Chamseddine Talhi ◽  
Mohamed Cheriet
Keyword(s):  
Smart Home ◽  
Data Privacy ◽  
Attribute Based Encryption

Control Cloud Data Access Privilge Anonymity with Attributed Based Encryption

2017 ◽  
Vol 7 (8) ◽  
pp. 279
Author(s):  
P. Sudheer ◽  
T. Lakshmi Surekha
Keyword(s):  
Data Privacy ◽  
Low Cost ◽  
Data Access ◽  
Privacy Concerns ◽  
Cloud Data ◽  
Computing Paradigm ◽  
Attribute Based Encryption ◽  
Data Content ◽  
Identity Privacy ◽  
Cloud Servers

Cloud computing is a revolutionary computing paradigm, which enables flexible, on-demand, and low-cost usage of computing resources, but the data is outsourced to some cloud servers, and various privacy concerns emerge from it. Various schemes based on the attribute-based encryption have been to secure the cloud storage. Data content privacy. A semi anonymous privilege control scheme AnonyControl to address not only the data privacy. But also the user identity privacy. AnonyControl decentralizes the central authority to limit the identity leakage and thus achieves semi anonymity. The  Anonymity –F which fully prevent the identity leakage and achieve the full anonymity.

A Review on Data Privacy using Attribute-Based Encryption

2020 ◽  
Author(s):  
Deepika Deepika ◽  
Rajnesh Malik ◽  
Saurabh Kumar ◽  
Rishabh Gupta ◽  
Ashutosh Kumar Singh
Keyword(s):  
Data Privacy ◽  
Attribute Based Encryption

GPFS: A Graph-based Human Pose Forecasting System for Smart Home with Online Learning

2021 ◽  
Vol 17 (3) ◽  
pp. 1-19
Author(s):  
Xin Li ◽  
Dawei Li
Keyword(s):  
Online Learning ◽  
Smart Home ◽  
Data Privacy ◽  
Structural Information ◽  
Learning Technology ◽  
Extensive Evaluation ◽  
Forecasting System ◽  
Human Pose ◽  
Human Joints ◽  
Visual Domain

Forecasting human poses given a sequence of historical pose frames has several important applications, especially in the domain of smart home safety. Recently, computer vision-based human pose forecasting has made a breakthrough using deep learning technology. However, to implement a practical system deployed on an IoT edge environment, there are still two issues to be addressed. First, existing methods on pose forecasting fail to model the coherent structural information of connected human joints and thus cannot achieve satisfactory prediction accuracy, especially for long-term predictions. Second, a general and static pre-trained prediction model may not perform well in the deployment environment due to the visual domain shift problem. In this article, we propose a hybrid cloud-edge system called GPFS to solve those issues. Specifically, we first introduce a novel graph convolutional neural network (GCN)-based sequence-to-sequence learning method, which enhances the sequence encoder by using a graph to represent both the spatial and temporal connections of the human joints in the input frames. The GCN improves the forecasting accuracy by capturing the motion pattern of each joint as well as the correlations among different human joints over time. Second, to address the domain shift issue and protect data privacy, we extend the system to perform online learning on the IoT edge to adapt the cloud trained general model with online collected on-site domain data. Extensive evaluation on Human 3.6M and Penn Action datasets demonstrates the superiority of our proposed system.

scholarly journals Homomorphic Consortium Blockchain for Smart Home System Sensitive Data Privacy Preserving

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 62058-62070 ◽  
Author(s):  
Wei She ◽  
Zhi-Hao Gu ◽  
Xu-Kang Lyu ◽  
Qi Liu ◽  
Zhao Tian ◽  
...  
Keyword(s):  
Smart Home ◽  
Data Privacy ◽  
Privacy Preserving ◽  
Sensitive Data

scholarly journals Ciphertext-Policy Attribute-Based Encryption for Cloud Storage: Toward Data Privacy and Authentication in AI-Enabled IoT System

Mathematics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 68
Author(s):  
P. Chinnasamy ◽  
P. Deepalakshmi ◽  
Ashit Kumar Dutta ◽  
Jinsang You ◽  
Gyanendra Prasad Joshi
Keyword(s):  
Data Privacy ◽  
Partial Information ◽  
User Privacy ◽  
Access Policy ◽  
Insider Attack ◽  
Attribute Based Encryption ◽  
Encryption Schemes ◽  
A New Technique ◽  
Ciphertext Policy ◽  
Cloud Servers

People can store their data on servers in cloud computing and allow public users to access data via data centers. One of the most difficult tasks is to provide security for the access policy of data, which is also needed to be stored at cloud servers. The access structure (policy) itself may reveal partial information about what the ciphertext contains. To provide security for the access policy of data, a number of encryption schemes are available. Among these, CP-ABE (Ciphertext-Policy Attribute-Based Encryption) scheme is very significant because it helps to protect, broadcast, and control the access of information. The access policy that is sent as plaintext in the existing CP-ABE scheme along with a ciphertext may leak user privacy and data privacy. To resolve this problem, we hereby introduce a new technique, which hides the access policy using a hashing algorithm and provides security against insider attack using a signature verification scheme. The proposed system is compared with existing CP-ABE schemes in terms of computation and expressive policies. In addition, we can test the functioning of any access control that could be implemented in the Internet of Things (IoT). Additionally, security against indistinguishable adaptive chosen ciphertext attacks is also analyzed for the proposed work.

scholarly journals Light Weight Cryptography based Medical Data and Image Encryption Scheme

Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 88-104
Author(s):  
M. Raja ◽  
Dr.S. Dhanasekaran ◽  
Dr.V. Vasudevan
Keyword(s):  
Data Privacy ◽  
Medical Information ◽  
Security Analysis ◽  
Encrypted Data ◽  
Attribute Based Encryption ◽  
Identity Based ◽  
Information Confidentiality ◽  
Processing And Storage ◽  
And Storage ◽  
Maintenance Problem

Many medical companies use cloud technology to collect, distribute and transmit medical records. Given the need for medical information, confidentiality is a key issue. In this study, we propose an encrypted scheme based on encrypted data for an electronic healthcare environment. We use hybrid Attribute based encryption and Triple DES encryption technique (ABETDES) scheme, including identity-based cryptography (IBC), to ensure data privacy through communication channels և to improve the reliability of cloud computing. There are also limited indicators of light processing and storage resources. This solves a serious maintenance problem and ensures that a private key is created where it is not blind. The introduction of a security option, a comprehensive security analysis to protect ciphertext, shows that our program is effective against many known attacks and compared to existing methods.

scholarly journals Privacy-Preserving and Efficient Public Key Encryption with Keyword Search Based on CP-ABE in Cloud

Cryptography ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 28
Author(s):  
Yunhong Zhou ◽  
Shihui Zheng ◽  
Licheng Wang
Keyword(s):  
Access Control ◽  
Data Privacy ◽  
Keyword Search ◽  
Good Method ◽  
Privacy Preserving ◽  
Public Key ◽  
Public Key Encryption ◽  
Encrypted Data ◽  
Fine Grained ◽  
Attribute Based Encryption

In the area of searchable encryption, public key encryption with keyword search (PEKS) has been a critically important and promising technique which provides secure search over encrypted data in cloud computing. PEKS can protect user data privacy without affecting the usage of the data stored in the untrusted cloud server environment. However, most of the existing PEKS schemes concentrate on data users’ rich search functionalities, regardless of their search permission. Attribute-based encryption technology is a good method to solve the security issues, which provides fine-grained access control to the encrypted data. In this paper, we propose a privacy-preserving and efficient public key encryption with keyword search scheme by using the ciphertext-policy attribute-based encryption (CP-ABE) technique to support both fine-grained access control and keyword search over encrypted data simultaneously. We formalize the security definition, and prove that our scheme achieves selective indistinguishability security against an adaptive chosen keyword attack. Finally, we present the performance analysis in terms of theoretical analysis and experimental analysis, and demonstrate the efficiency of our scheme.

scholarly journals Attribute-based encryption and sticky policies for data access control in a smart home scenario: a comparison on networked smart object middleware

2020 ◽  
Author(s):  
Sabrina Sicari ◽  
Alessandra Rizzardi ◽  
Gianluca Dini ◽  
Pericle Perazzo ◽  
Michele La Manna ◽  
...  
Keyword(s):  
Access Control ◽  
Smart Home ◽  
Data Access ◽  
Data Retrieval ◽  
Test Bed ◽  
Smart Object ◽  
Access Policy ◽  
Data Access Control ◽  
Attribute Based Encryption ◽  
Encrypt Data

AbstractRegulating the access to the Internet of Things (IoT) network’s resources is a complex-prone task, which requires to pay a great attention on how policies are defined, shared, and enforced. The present paper considers the specific context of a smart home, which represents one of the main IoT application domains, and it focuses on two solutions proposed in the literature to cope with the aforementioned issues. On the one side, approaches based on attribute-based encryption (ABE) allow one to encrypt data for multiple recipients, in such a way that only those recipients whose attributes satisfy a given access policy can decrypt afterward. ABE guarantees a high level of customization due to the variety of attributes which can be defined, and it is also flexible enough to be adapted to different kinds of scenarios. On the other side, approaches based on sticky policies allow to attach an access policy directly to the data itself, and to employ a trusted authority to evaluate and enforce the policy itself. Sticky policies also guarantee a highly distributed and customizable enforcement of access control rules. In this paper, we compare the advantages and the drawbacks in terms of performance and robustness of such two techniques by means of their integration within the prototype of an IoT middleware, named networked smart object. Hence, the effectiveness of the presented solutions is validated by means of a real test-bed in the smart home scenario, in terms of storage occupancy, CPU load, and data retrieval delay. The final goal is to reveal the best approach to be used depending on the application’s requirements.

A Novel File Hierarchy Access Control Scheme Using Attribute-Based Encryption

2014 ◽  
Vol 701-702 ◽  
pp. 911-918 ◽  
Author(s):  
Shu Lan Wang ◽  
Jian Ping Yu ◽  
Peng Zhang ◽  
Ping Wang
Keyword(s):  
Access Control ◽  
Data Privacy ◽  
Access Structure ◽  
Secret Key ◽  
Chosen Plaintext Attack ◽  
Fine Grained ◽  
Access Structures ◽  
Diffie Hellman ◽  
Attribute Based Encryption ◽  
Control Scheme

Attribute-based encryption (ABE) can keep data privacy and realize fine-grained access control. However, the notion of file hierarchy hasn't been presented until now. The problem, the multiple hierarchical files to be shared only using once encryption scheme, cannot be effectively solved. Based on the access structure layered model, a novel access control scheme about file hierarchy is proposed by using ABE to solve the problem. The proposed scheme will not only decrease the number of access structures to one, but also only require a secret key to decrypt all the authorization files. It is proved to be secure against the chosen-plaintext attack (CPA) under the decision bilinear Diffie-Hellman (DBDH) assumption. In addition, the performance analysis results indicate that the proposed scheme is efficient and practical when a large number of hierarchical files are shared.

scholarly journals BCAS: A blockchain-based ciphertext-policy attribute-based encryption scheme for cloud data security sharing

2021 ◽  
Vol 17 (3) ◽  
pp. 155014772199961
Author(s):  
Yuting Zuo ◽  
Zhaozhe Kang ◽  
Jian Xu ◽  
Zhide Chen
Keyword(s):  
Data Privacy ◽  
Discrete Logarithm ◽  
Third Parties ◽  
Third Party ◽  
Encryption Scheme ◽  
Cloud Data ◽  
Attribute Based Encryption ◽  
Encryption Schemes ◽  
Trusted Third Parties ◽  
Ciphertext Policy

It is the most important and challenging problem to share the data safely in cloud computing. Some so-called trusted third parties may also infringe users’ data privacy. It is an urgent problem for data owners to share data safely with the designated users rather than the third party or other users. Traditional encryption schemes utilize different keys to produce multiple encrypted copies of the same data for users. It is no longer applicable for cloud data sharing security. Attribute-based encryption can solve above problems, but it needs to rely on trusted third parties to protect the users’ privacy. In this article, in order to address the above problems, we propose a blockchain-based ciphertext-policy attribute-based encryption scheme for cloud data secure sharing without relying on any trusted third parties. Blockchain-based ciphertext-policy attribute-based encryption scheme can protect the rights and security of data owner. Compared with existing cloud security schemes, the proposed scheme has more advantages in terms of the six aspects: (1) data owners have the authority to decide who can decrypt the data; (2) the operations of users are retained permanently, and all records are tamper-proof; (3) our proposed scheme has the characteristic of “one-to-many” encryption, and data is encrypted only once; (4) our scheme does not rely on any trusted third party; (5) in terms of the discrete logarithm problem and decisional q parallel-bilinear Diffie–Hellman exponent problem, we prove that our proposed scheme is secure; and (6) experiment shows that our proposed scheme is more efficient than the comparative scheme.

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