Adaptively secure ciphertext-policy attribute-based encryption with dynamic policy updating

Ying, Zuobin; Li, Hui; Ma, Jianfeng; Zhang, Junwei; Cui, Jiangtao

doi:10.1007/s11432-015-5428-1

Cited by 30 publications

(44 citation statements)

References 12 publications

(45 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To update linear secret sharing scheme (LSSS) based access policy, the scheme in [31] designs a policy compare algorithm to divide the update policy into three types and disparate methods to update the old policy according the different types. The policy updating method in [31] is utilized to construct other ABE schemes in [32,33]. The searchable encryption and ABE are integrated in [34,35] such that the authorized data user (with attributes satisfy the access policy) can utilize a keyword based trapdoor to retrieve on data owner's encrypted files.…”

Section: Attribute Based Encryptionmentioning

confidence: 99%

See 1 more Smart Citation

Privacy-preserving fusion of IoT and big data for e-health

Yang

Zheng

Guo

et al. 2018

Future Generation Computer Systems

106

View full text Add to dashboard Cite

In this paper, we propose a privacy-preserving e-health system, which is a fusion of Internet-of-things (IoT), big data and cloud storage. The medical IoT network monitors patient's physiological data, which are aggregated to electronic health record (EHR). The medical big data that contains a large amount of EHRs are outsourced to cloud platform. In the proposed system, the patient distributes an IoT group key to the medical nodes in an authenticated way without interaction round. The IoT messages are encrypted using the IoT group key and transmitted to the patient, which can be batch authenticated by the patient. The encrypted EHRs are shared among patient and different data users in a fine-grained access control manner. A novel keyword match based policy update mechanism is designed to enable flexible access policy updating without privacy leakage. Extensive comparison and simulation results demonstrate that the algorithms in the proposed system are efficient. Comprehensive analysis is provided to prove its security.

show abstract

Section: Attribute Based Encryptionmentioning

confidence: 99%

“…In this section, we firstly compare the proposed fusion of IoT and big data system with the state-of-the art schemes [31,32,33,34,35,36] that support fine-grained access control mechanism. Then, they are evaluated using the simulation in terms of communication and computation costs.…”

Section: Performance Analysis and Comparisonmentioning

confidence: 99%

Privacy-preserving fusion of IoT and big data for e-health

Yang

Zheng

Guo

et al. 2018

Future Generation Computer Systems

106

View full text Add to dashboard Cite

show abstract

“…The particular properties of chaos [16], such as sensitivity to initial conditions and system parameters, pseudo-randomness, ergodicity and so on, have granted chaotic dynamics as a promising alternative for the conventional cryptographic algorithms [19,21,2,1,20]. The inherent properties connect it directly with cryptographic characteristics of confusion and diffusion, which is presented in Shannon's works [15].…”

Section: Previous Workmentioning

confidence: 99%

3D textured model encryption via 3D Lu chaotic mapping

Jin

Zhu

Xiao

et al. 2017

Sci. China Inf. Sci.

View full text Add to dashboard Cite

In the coming Virtual/Augmented Reality (VR/AR) era, 3D contents will be popularized just as images and videos today. The security and privacy of these 3D contents should be taken into consideration. 3D contents contain surface models and solid models. The surface models include point clouds, meshes and textured models. Previous work mainly focus on encryption of solid models, point clouds and meshes. This work focuses on the most complicated 3D textured model. We propose a 3D Lu chaotic mapping based encryption method of 3D textured model. We encrypt the vertexes, the polygons and the textures of 3D models separately using the 3D Lu chaotic mapping. Then the encrypted vertices, edges and texture maps are composited together to form the final encrypted 3D textured model. The experimental results reveal that our method can encrypt and decrypt 3D textured models correctly. In addition, our method can resistant several attacks such as brute-force attack and statistic attack.

show abstract

“…Consequently, ABE is a more effective tool for data protection in large data outsource platforms. Existing literatures related to ABE have achieved many results in terms of fine-grained access control [7,13], revocation [6], key abuse protection [9], etc. Researchers have also implemented ABE in several practical scenarios such as wireless communications, cloud computing [14], etc.…”

Section: Attribute-based Cryptosystemmentioning

confidence: 99%

“…Afterwards, many studies [3][4][5] have been presented to provide better performances, higher security level, and more advanced functions. Aside from these properties, fine-grained access managements are also important because an uploader can take this advantage to make self-centric access policies on their private data [6][7][8][9]. To better satisfy this demand, Sahai et al presented attribute-based encryption (ABE) [10][11][12] which efficiently brings flexible access control.…”

Section: Introductionmentioning

confidence: 99%

Towards Secure Data Retrieval for Multi-Tenant Architecture Using Attribute-Based Key Word Search

2017

View full text Add to dashboard Cite

Searchable encryption mechanism and attribute-based encryption (ABE) are two effective tools for providing fine-grained data access control in the cloud. Researchers have also taken their advantages to present searchable encryption schemes based on ABE and have achieved significant results. However, most of the existing key word search schemes based on ABE lack the properties of key exposure protection and highly efficient key updating when key leakage happens. To better tackle these problems, we present a key insulated attribute-based data retrieval scheme with key word search (KI-ABDR-KS) for multi-tenant architecture. In our scheme, a data owner can make a self-centric access policy of the encrypted data. Only when the possessing attributes match with the policy can a receiver generate a valid trapdoor and search the ciphertext. The proposed KI-ABDR-KS also provides full security protection when key exposure happens, which can minimize the damage brought by key exposure. Furthermore, the system public parameters remain unchanged during the process of key updating; this will reduce the considerable overheads brought by parameters synchronization. Finally, our KI-ABDR-KS is proven to be secure under chosen-keyword attack and achieves better efficiency compared to existing works.

show abstract

Adaptively secure ciphertext-policy attribute-based encryption with dynamic policy updating

Cited by 30 publications

References 12 publications

Privacy-preserving fusion of IoT and big data for e-health

Privacy-preserving fusion of IoT and big data for e-health

3D textured model encryption via 3D Lu chaotic mapping

Towards Secure Data Retrieval for Multi-Tenant Architecture Using Attribute-Based Key Word Search

Contact Info

Product

Resources

About