Multilayered information encryption scheme with fine-grained authentication

2015 ◽  
Author(s):  
Yi-Hui Chen ◽  
Ching-Hu Lu ◽  
Po-Yu Hsu
Keyword(s):  
Encryption Scheme ◽  
Fine Grained

An Attribute-Based Searchable Encryption Scheme for Non-Monotonic Access Structure

2020 ◽  
pp. 263-283 ◽  
Author(s):  
Mamta ­ ◽  
Brij B. Gupta
Keyword(s):  
Access Control ◽  
Searchable Encryption ◽  
Access Structure ◽  
Encryption Scheme ◽  
Security Model ◽  
Secret Key ◽  
Fine Grained ◽  
Diffie Hellman ◽  
Attribute Based Encryption ◽  
Encryption Schemes

Attribute based encryption (ABE) is a widely used technique with tremendous application in cloud computing because it provides fine-grained access control capability. Owing to this property, it is emerging as a popular technique in the area of searchable encryption where the fine-grained access control is used to determine the search capabilities of a user. But, in the searchable encryption schemes developed using ABE it is assumed that the access structure is monotonic which contains AND, OR and threshold gates. Many ABE schemes have been developed for non-monotonic access structure which supports NOT gate, but this is the first attempt to develop a searchable encryption scheme for the same. The proposed scheme results in fast search and generates secret key and search token of constant size and also the ciphertext components are quite fewer than the number of attributes involved. The proposed scheme is proven secure against chosen keyword attack (CKA) in selective security model under Decisional Bilinear Diffie-Hellman (DBDH) assumption.

scholarly journals PrivCrowd: A Secure Blockchain-Based Crowdsourcing Framework with Fine-Grained Worker Selection

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Qiliang Yang ◽  
Tao Wang ◽  
Wenbo Zhang ◽  
Bo Yang ◽  
Yong Yu ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Privacy ◽  
Single Point ◽  
Sensitive Information ◽  
Smart Contracts ◽  
Encryption Scheme ◽  
Functional Encryption ◽  
Privacy And Security ◽  
Fine Grained ◽  
Worker Selection

Blockchain-based crowdsourcing systems can mitigate some known limitations of the centralized crowdsourcing platform, such as single point of failure and Sybil attacks. However, blockchain-based crowdsourcing systems still endure the issues of privacy and security. Participants’ sensitive information (e.g., identity, address, and expertise) have the risk of privacy disclosure. Sensitive crowdsourcing tasks such as location-based data collection and labeling images including faces also need privacy-preserving. Moreover, current work fails to balance the anonymity and public auditing of workers. In this paper, we present a secure blockchain-based crowdsourcing framework with fine-grained worker selection, named PrivCrowd which exploits a functional encryption scheme to protect the data privacy of tasks and to select workers by matching the attributes. In PrivCrowd, requesters and workers can achieve both exchange and evaluation fairness by calling smart contracts. Solutions collection also can be done in a secure, sound, and noninteractive way. Experiment results show the feasibility, usability, and efficiency of PrivCrowd.

scholarly journals Speech Encryption Scheme Based on Ciphertext Policy Hierarchical Attribute in Cloud Storage

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qiuyu Zhang ◽  
Zhenyu Zhao ◽  
Minrui Fu
Keyword(s):  
Access Control ◽  
Cloud Storage ◽  
Random Oracle Model ◽  
Access Structure ◽  
Encryption Scheme ◽  
Hierarchical Processing ◽  
Fine Grained ◽  
Speech Data ◽  
Speech Encryption ◽  
Ciphertext Policy

In order to ensure the confidentiality and secure sharing of speech data, and to solve the problems of slow deployment of attribute encryption systems and fine-grained access control in cloud storage, a speech encryption scheme based on ciphertext policy hierarchical attributes was proposed. First, perform hierarchical processing of the attributes of the speech data to reflect the hierarchical structure and integrate the hierarchical access structure into a single-access structure. Second, use the attribute fast encryption framework to construct the attribute encryption scheme of the speech data, and use the integrated access to the speech data; thus, the structure is encrypted and uploaded to the cloud for storage and sharing. Finally, use the hardness of decisional bilinear Diffie–Hellman (DBDH) assumption to prove that the proposed scheme is secure in the random oracle model. The theoretical security analysis and experimental results show that the proposed scheme can achieve efficient and fine-grained access control and is secure and extensible.

scholarly journals Implementation of an Attribute-Based Encryption Scheme Based on SM9

2019 ◽  
Vol 9 (15) ◽  
pp. 3074
Author(s):  
Yang Shi ◽  
Zhiyuan Ma ◽  
Rufu Qin ◽  
Xiaoping Wang ◽  
Wujing Wei ◽  
...  
Keyword(s):  
Smart Phone ◽  
Regulatory Compliance ◽  
Bilinear Pairing ◽  
Encryption Scheme ◽  
Sensitive Data ◽  
Fine Grained ◽  
Fundamental Building Block ◽  
Attribute Based Encryption ◽  
Identity Based ◽  
Computing Platforms

In recent years, attribute-based encryption (ABE) has been widely applied in mobile computing, cloud computing, and the Internet of things, for supporting flexible and fine-grained access control of sensitive data. In this paper, we present a novel attribute-based encryption scheme that is based on bilinear pairing over Barreto and Naehrig curves (BN-curves). The identity-based encryption scheme SM9, which is a Chinese commercial cryptographic standard and a forthcoming part of ISO/IEC11770-3, has been used as the fundamental building block, and thus we first introduce SM9 and present our SM9 implementation in details. Subsequently, we propose the design and implementation of the ABE scheme. Moreover, we also develop a hybrid ABE for achieving lower ciphertext expansion rate when the size of access structure or plaintext is large. The performance and energy consumption of the implementation of the proposed ABE and its hybrid version are evaluated with a workstation, a PC, a smart phone, and an embedded device. The experimental results indicated that our schemes work well on various computing platforms. Moreover, the proposed schemes and their implementations would benefit developers in building applications that fulfill the regulatory compliance with the Chinese commercial cryptographic standard since there is no existing ABE scheme compatible with any Chinese cryptographic standard.

scholarly journals A Lightweight Fine-Grained Searchable Encryption Scheme in Fog-Based Healthcare IoT Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Hui Li ◽  
Tao Jing
Keyword(s):  
Access Control ◽  
Healthcare System ◽  
Limited Resource ◽  
Searchable Encryption ◽  
Security Requirements ◽  
Communication Overhead ◽  
Encryption Scheme ◽  
Fine Grained ◽  
Smart Healthcare ◽  
Cloud Framework

For a smart healthcare system, a cloud based paradigm with numerous user terminals is to support and improve more reliable, convenient, and intelligent services. Considering the resource limitation of terminals and communication overhead in cloud paradigm, we propose a hybrid IoT-Fog-Cloud framework. In this framework, we deploy a geo-distributed fog layer at the edge of networks. The fogs can provide the local storage, sufficient processing power, and appropriate network functions. For the fog-based healthcare system, data confidentiality, access control, and secure searching over ciphertext are the key issues in sensitive data. Furthermore, how to adjust the storage and computing requirements to meet the limited resource is also a great challenge for data management. To address these, we design a lightweight keyword searchable encryption scheme with fine-grained access control for our proposed healthcare related IoT-Fog-Cloud framework. Through our design, the users can achieve a fast and efficient service by delegating a majority part of the workloads and storage requirements to fogs and the cloud without extra privacy leakage. We prove our scheme satisfies the security requirements and demonstrate the excellent efficiency through experimental evaluation.

scholarly journals Hierarchical authority based weighted attribute encryption scheme

2019 ◽  
Vol 16 (3) ◽  
pp. 797-813
Author(s):  
Qiuting Tian ◽  
Dezhi Han ◽  
Yanmei Jiang
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Encryption Scheme ◽  
Storage Security ◽  
Fine Grained ◽  
Security Proof ◽  
Attribute Based Encryption ◽  
Encryption Schemes ◽  
And Performance ◽  
Cloud Storage Environment

With the development of cloud storage technology, data storage security has become increasingly serious. Aiming at the problem that existing attribute-based encryption schemes do not consider hierarchical authorities and the weight of attribute. A hierarchical authority based weighted attribute encryption scheme is proposed. This scheme will introduce hierarchical authorities and the weight of attribute into the encryption scheme, so that the authorities have a hierarchical relationship and different attributes have different importance. At the same time, the introduction of the concept of weight makes this scheme more flexible in the cloud storage environment and enables fine-grained access control. In addition, this scheme implements an online/offline encryption mechanism to improve the security of stored data. Security proof and performance analysis show that the scheme is safe and effective, and it can resist collusion attacks by many malicious users and authorization centers. It is more suitable for cloud storage environments than other schemes.

scholarly journals BFR-SE: A Blockchain-Based Fair and Reliable Searchable Encryption Scheme for IoT with Fine-Grained Access Control in Cloud Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Hongmin Gao ◽  
Shoushan Luo ◽  
Zhaofeng Ma ◽  
Xiaodan Yan ◽  
Yanping Xu
Keyword(s):  
Access Control ◽  
Service Providers ◽  
Auxiliary Information ◽  
Bloom Filter ◽  
Searchable Encryption ◽  
Security And Privacy ◽  
Encryption Scheme ◽  
Fine Grained ◽  
Data User ◽  
Iot Devices

Due to capacity limitations, large amounts of data generated by IoT devices are often stored on cloud servers. These data are usually encrypted to prevent the disclosure, which significantly affects the availability of this data. Searchable encryption (SE) allows a party to store his data created by his IoT devices or mobile in encryption on the cloud server to protect his privacy while retaining his ability to search for data. However, the general SE techniques are all pay-then-use. The searchable encryption service providers (SESP) are considered curious but honest, making it unfair and unreliable. To address these problems, we combined ciphertext-policy attribute-based encryption, Bloom filter, and blockchain to propose a blockchain-based fair and reliable searchable encryption scheme (BFR-SE) in this paper. In BFR-SE, we constructed an attribute-based searchable encryption model that can provide fine-grained access control. The data owner stores the indices on SESP and stores some additional auxiliary information on the blockchain. After a data user initiates a request, SESP must return the correct and integral search results before the deadline. Otherwise, the data user can send an arbitration request, and the blockchain will make a ruling. The blockchain will only perform arbitrations based on auxiliary information when disputes arise, saving the computing resources on-chain. We analyzed the security and privacy of BFR-SE and simulated our scheme on the EOS blockchain, which proves that BFR-SE is feasible. Meanwhile, we provided a thorough analysis of storage and computing overhead, proving that BFR-SE is practical and has good performance.

scholarly journals A Key-Policy Searchable Attribute-Based Encryption Scheme for Efficient Keyword Search and Fine-Grained Access Control over Encrypted Data

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 265 ◽  
Author(s):  
Hui Yin ◽  
Yinqiao Xiong ◽  
Jixin Zhang ◽  
Lu Ou ◽  
Shaolin Liao ◽  
...  
Keyword(s):  
Access Control ◽  
Large Scale ◽  
Keyword Search ◽  
Data Access ◽  
Encryption Scheme ◽  
Encrypted Data ◽  
Fine Grained ◽  
Data Access Control ◽  
Attribute Based Encryption ◽  
Key Policy

Attribute based encryption is a promising technique that achieves flexible and fine-grained data access control over encrypted data, which is very suitable for a secure data sharing environment such as the currently popular cloud computing. However, traditional attribute based encryption fails to provide an efficient keyword based search on encrypted data, which somewhat weakens the power of this encryption technique, as search is usually the most important approach to quickly obtain data of interest from large-scale dataset. To address this problem, attribute based encryption with keyword search (ABKS) is designed to achieve fine-grained data access control and keyword based search, simultaneously, by an ingenious combination of attribute based encryption and searchable encryption. Recently, several ABKS schemes have been constructed in secure cloud storage system for data access control and keyword search. Nonetheless, each of these schemes has some defects such as impractical computation overhead and insufficient access policy expression. To overcome these limitations, in this paper, we design a Key-Policy Searchable Attribute-based Encryption Scheme (KPSABES) based on the full-blown key-policy attribute-based encryption proposed by Vipul Goyal et al. By novel design, our scheme not only inherits all advantages of that scheme but also achieves efficient and secure keyword search over encrypted data. We provide the detailed performance analyses and security proofs for our scheme. Extensive experiments demonstrated that our proposed scheme is superior in many aspects to the similar work.

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