Secure Data Sharing and Retrieval Using Attribute-Based Encryption in Cloud-Based OSNs

The Online social networks （OSNs） offer attractive means for social interactions and data sharing, but also raise a number of security and privacy issues. Since the OSNs service provider is always semi-trusted, current solutions propose to encrypt data before sharing. However, data encryption causes a lot of inconveniences and large overheads for data dissemination and data retrieval. In this paper, we propose a secure data sharing and retrieval scheme in cloud-based OSNs. Based on ciphertext-policy attribute-based encryption, our scheme achieves multi- party access control, which allows data owners to outsource encrypted data to the OSNs service provider for sharing, and enables data disseminators to disseminate the data owners＇ data by customizing new access policy. Our scheme also provides searchable encryptlon scheme to support fast searches in massive amount of encrypted data from both data owners and data disseminators. Further, our scheme preserves the privacy of data owners and data retrievers during the data sharing and retrieval processes. In addition, the computation overhead of data retrievers is reduced by delegating most of the decryption operations to the OSNs service provider. The security and performance analysis results indicate that our scheme is secure and privacy-preserving.     

Improving Security and Sharing in Online Social Efficiency for Encrypted Data Networks

Despite that existing data sharing systems in online social networks （OSNs） propose to encrypt data before sharing, the multiparty access control of encrypted data has become a challenging issue. In this paper, we propose a secure data sharing scheme in 0SNs based on ciphertext-policy attribute- based proxy re-encryption and secret sharing. In order to protect users＇ sensitive data, our scheme allows users to customize access policies of their data and then outsource encrypted data to the OSNs service provider. Our scheme presents a multiparty access control model, which enables the disseminator to update the access policy of ciphertext if their attributes satisfy the existing access policy. Further, we present a partial decryption construction in which the computation overhead of user is largely reduced by delegating most of the decryption operations to the OSNs service provider. We also provide checkability on the results returned from the OSNs service provider to guarantee the correctness of partial decrypted ciphertext. Moreover, our scheme presents an efficient attribute revocation method that achieves both forward and backward secrecy. The security and performance analysis results indicate that the proposed scheme is secure and efficient in OSNs.     

Attribute Based DRM Scheme with Dynamic Usage Control in Cloud Computing

In order to achieve fine-grained access control in cloud computing, existing digital rights management （DRM） schemes adopt attribute-based encryption as the main encryption primitive. However, these schemes suffer from inefficiency and cannot support dynamic updating of usage rights stored in the cloud. In this paper, we propose a novel DRM scheme with secure key management and dynamic usage control in cloud computing. We present a secure key management mechanism based on attribute-based encryption and proxy re-encryption. Only the users whose attributes satisfy the access policy of the encrypted content and who have effective usage rights can be able to recover the content encryption key and further decrypt the content. The attribute based mechanism allows the content provider to selectively provide fine-grained access control of contents among a set of users, and also enables the license server to implement immediate attribute and user revocation. Moreover, our scheme supports privacy-preserving dynamic usage control based on additive homomorphic encryption, which allows the license server in the cloud to update the users＇ usage rights dynamically without disclosing the plaintext. Extensive analytical results indicate that our proposed scheme is secure and efficient.     

Fine-grained cooperative access control scheme with hidden policies

The traditional ciphertext policy attribute-based encryption (CP-ABE) has two problems:one is that the access policy must be embedded in the ciphertext and sent, which leads to the disclosure of user爷 s privacy information, the other is that it does not support collaborative decryption, which cannot meet the actual demand of conditional collaborative decryption among multiple users. In order to deal with the above two problems at the same time, a fine-grained cooperative access control scheme with hidden policies (FCAC-HP) is proposed based on the existing CP-ABE schemes combined with blockchain technology. In FCAC-HP scheme, users are grouped by group identifier so that only users within the same group can cooperate. In the data encryption stage, the access policy is encrypted and then embedded in the ciphertext to protect the privacy information of the access policy. In the data access stage, the anonymous attribute matching technology is introduced so that only matched users can decrypt ciphertext data to improve the efficiency of the system. In this process, a smart contract is used to execute the verification algorithm to ensure the credibility of the results. In terms of security, FCAC-HP scheme is based on the prime subgroup discriminative assumption and is proved to be indistinguishable under chosen plaintext attack (CPA) by dual system encryption technology. Experimental verification and analysis show that FCAC-HP scheme improves computational efficiency while implementing complex functions.     

Method of secure,scalable, and fine-grained data access control with efficient revocation in untrusted cloud

Cloud computing is a developing computing paradigm in which resources of the computing infrastructure are provided as services over the network. Hopeful as it is, this paradigm also brings new challenges for data security and encryption storage when date owner stores sensitive data for sharing with untrusted cloud servers. When it comes to fine-grained data and scalable access control, a huge computation for key distribution and data management is required. In this article, we achieved this goal by exploiting and uniquely combining techniques of ciphertext-policy attribute-based encryption(CP-ABE), linear secret sharing schemes(LSSS), and counter(CTR) mode encryption. The proposed scheme is highly efficient by conducting the revocation on attribute level rather than on user level. The goals of data confidentiality and no collusion attack(even the cloud servers(CS) collude with users), as well as ones of fine-grainedness and scalability, are also achieved in our access structure.     

APPLSS:Adaptive Privacy Preserved Location Sharing Scheme Based on Attribute-Based Encryption

Unauthorized access to location information in location-based service is one of the most critical security threats to mobile Internet.In order to solve the problem of quality of location sharing while keeping privacy preserved,adaptive privacy preserved location sharing scheme called APPLSS is proposed,which is based on a new hierarchical ciphertext-policy attribute-based encryption algorithm.In the algorithm,attribute authority sets the attribute vector according to the attribute tags of registration from the location service providers.Then the attribute vector can be adaptively transformed into an access structure to control the encryption and decryption.The APPLSS offers a natural hierarchical mechanism in protecting location information when partially sharing it in mobile networks.It allows service providers access to end user’s sensitive location more flexibly,and satisfies a sufficient-but-no-more strategy.For end-users,the quality of service is obtained while no extra location privacy is leaked.To improve service response performance,outsourced decryption is deployed to avoid the bottlenecks of the service providers and location information providers.The performance analysis and experiments show that APPLSS is an efficient and practical location sharing scheme.     

FACOR:Flexible Access Control with Outsourceable Revocation in Mobile Clouds

Access control is a key mechanism to secure outsourced data in mobile clouds. Some existing solutions are proposed to enforce flexible access control on outsourced data or reduce the computations performed by mobile devices. However, less attention has been paid to the efficiency of revocation when there are mobile devices needed to be revoked. In this paper, we put forward a new solution, referred to as flexible access control with outsourceable revocation(FACOR) for mobile clouds. The FACOR applies the attribute-based encryption to enable flexible access control on outsourced data, and allows mobile users to outsource the time-consuming encryption and decryption computations to proxies, with only requiring attributes authorization to be fully trusted. As an advantageous feature, FACOR provides an outsourceable revocation for mobile users to reduce the complicated attribute-based revocation operations. The security analysis shows that our FACOR scheme achieves data security against collusion attacks and unauthorized accesses from revoked users. Both theoretical and experimental results confirm that our proposed scheme greatly reliefs the mobile devices from heavy encryption and decryption computations, as well as the complicated revocation of access rights in mobile clouds.     

Secure and privacy-preserving DRM scheme using homomorphic encryption in cloud computing

Cloud computing provides a convenient way of content trading and sharing. In this paper, we propose a secure and privacy-preserving digital rights management （DRM） scheme using homomorphic encryption in cloud computing. We present an efficient digital rights management framework in cloud computing, which allows content provider to outsource encrypted contents to centralized content server and allows user to consume contents with the license issued by license server. Further, we provide a secure content key distribution scheme based on additive homomorphic probabilistic public key encryption and proxy re-encryption. The provided scheme prevents malicious employees of license server from issuing the license to unauthorized user. In addition, we achieve privacy preserving by allowing users to stay anonymous towards the key server and service provider. The analysis and comparison results indicate that the proposed scheme has high efficiency and security.     

A Retrievable Data Perturbation Method Used in Privacy-Preserving in Cloud Computing

With the increasing popularity of cloud computing,privacy has become one of the key problem in cloud security.When data is outsourced to the cloud,for data owners,they need to ensure the security of their privacy;for cloud service providers,they need some information of the data to provide high QoS services;and for authorized users,they need to access to the true value of data.The existing privacy-preserving methods can＇t meet all the needs of the three parties at the same time.To address this issue,we propose a retrievable data perturbation method and use it in the privacy-preserving in data outsourcing in cloud computing.Our scheme comes in four steps.Firstly,an improved random generator is proposed to generate an accurate ＂noise＂.Next,a perturbation algorithm is introduced to add noise to the original data.By doing this,the privacy information is hidden,but the mean and covariance of data which the service providers may need remain unchanged.Then,a retrieval algorithm is proposed to get the original data back from the perturbed data.Finally,we combine the retrievable perturbation with the access control process to ensure only the authorized users can retrieve the original data.The experiments show that our scheme perturbs date correctly,efficiently,and securely.     

A Data Assured Deletion Scheme in Cloud Storage

In order to provide a practicable solution to data confidentiality in cloud storage service, a data assured deletion scheme, which achieves the fine grained access control, hopping and sniffing attacks resistance, data dynamics and deduplication, is proposed. In our scheme, data blocks are encrypted by a two-level encryption approach, in which the control keys are generated from a key derivation tree, encrypted by an All-Or- Nothing algorithm and then distributed into DHT network after being partitioned by secret sharing. This guarantees that only authorized users can recover the control keys and then decrypt the outsourced data in an owner- specified data lifetime. Besides confidentiality, data dynamics and deduplication are also achieved separately by adjustment of key derivation tree and convergent encryption. The analysis and experimental results show that our scheme can satisfy its security goal and perform the assured deletion with low cost.     

云社交网络中安全高效的加密数据共享机制(英文)

Despite that existing data sharing systems in online social networks(OSNs)propose to encrypt data before sharing,the multiparty access control of encrypted data has become a challenging issue.In this paper,we propose a secure data sharing scheme in OSNs based on ciphertext-policy attributebased proxy re-encryption and secret sharing.In order to protect users' sensitive data,our scheme allows users to customize access policies of their data and then outsource encrypted data to the OSNs service provider.Our scheme presents a multiparty access control model,which enables the disseminator to update the access policy of ciphertext if their attributes satisfy the existing access policy.Further,we present a partial decryption construction in which the computation overhead of user is largely reduced by delegating most of the decryption operations to the OSNs service provider.We also provide checkability on the results returned from the OSNs service provider to guarantee the correctness of partial decrypted ciphertext.Moreover,our scheme presents an efficient attribute revocation method that achieves both forward and backward secrecy.The security and performance analysis results indicate that the proposed scheme is secure and efficient in OSNs.     

具有隐私保护的云存储访问控制方案

针对传统的访问控制方案无法在云计算环境下保护用户的属性隐私,提出了具有隐私保护的云存储访问控制方案。采用混合加密体制实现了数据的机密性,即利用对称密钥加密明文数据,再利用公钥密码体制对对称密钥进行加密。在新的访问控制方案中,公钥加密采用了匿名的密文策略下基于属性的加密技术。安全性分析表明,新方案在保护用户属性隐私的同时,达到了选择明文安全性,可抵抗恶意用户及云存储服务器的合谋攻击。     

云环境下基于属性加密体制算法加速方案

云计算为租户提供存储、计算和网络服务，数据安全保护和租户间的数据共享与访问控制是其必不可少的能力。基于属性的加密体制是一种一对多的加密体制，可以根据用户属性实现细粒度访问控制，适用于云计算环境多租户数据共享。但现有的基于属性加密体制的算法效率较低，难以在实际环境中应用。分析了基于属性的加密体制的两种类型及其应用场景，提出一个基于属性加密体制算法的加速方案。通过实验表明，提出的方案可提高基于属性加密体制的密钥生成算法、加密算法和解密算法的效率。     

Secure personal data sharing in cloud computing using attribute-based broadcast encryption

The ciphertext-policy (CP) attribute-based encryption (ABE) (CP-ABE) emergings as a promising technology for allowing users to conveniently access data in cloud computing. Unfortunately, it suffers from several drawbacks such as decryption overhead, user revocation and privacy preserving. The authors proposed a new efficient and privacy-preserving attribute-based broadcast encryption (BE) (ABBE) named EP-ABBE, that can reduce the decryption computation overhead by partial decryption, and protect user privacy by obfuscating access policy of ciphertext and user's attributes. Based on EP-ABBE, a secure and flexible personal data sharing scheme in cloud computing was presented, in which the data owner can enjoy the flexibly of encrypting personal data using a specified access policy together with an implicit user index set. With the proposed scheme, efficient user revocation is achieved by dropping revoked user's index from the user index set, which is with very low computation cost. Moreover, the privacy of user can well be protected in the scheme. The security and performance analysis show that the scheme is secure, efficient and privacy-preserving.     

具有细粒度访问控制的隐藏关键词可搜索加密方案

针对现有的可搜索加密算法在多用户环境中密钥管理难度大并且缺乏细粒度访问控制机制的问题,利用基于密文策略的属性加密机制(CP-ABE, ciphertext-policy attribute based encryption)实现了对隐藏关键词可搜索加密方案的细粒度访问控制。数据拥有者可以为其在第三方服务器中存储的加密指定灵活的访问策略,只有自身属性满足该访问策略的用户才有权限对数据进行检索和解密。同时还能够实现对用户的增加与撤销。安全性分析表明方案不仅可以有效地防止隐私数据的泄露,还可以隐藏关键词的信息,使得第三方服务器在提供检索功能的同时无法窃取用户的任何敏感信息。方案的效率分析表明,该系统的检索效率仅为数十微秒,适合在大型应用系统中使用。     

Multi-authority attribute-based encryption with efficient revocation

Multi-authority attribute-based encryption was very suitable for data access control in a cloud storage environment.However,efficient user revocation in multi-authority attribute-based encryption remains a challenging problem that prevents it from practical applications.A multi-authority ciphertext-policy attribute-based encryption scheme with efficient revocation was proposed in prime order bilinear groups,and was further proved statically secure and revocable in the random oracle model.Extensive efficiency analysis results indicate that the proposed scheme significantly reduce the computation cost for the users.In addition,the proposed scheme supports large universe and any monotone access structures,which makes it more flexible for practical applications.     

Multi-authority attribute-based encryption scheme with policy dynamic updating

Attribute-based encryption (ABE) is a new cryptographic technique which guarantees fine-grained access control of outsourced encrypted data in the cloud environment.However,a key limitation remains,namely policy updating.Thus,a multi-authority attribute-based encryption scheme with policy dynamic updating was proposed.In the scheme,an anonymous key issuing protocol was introduced to protect users’ privacy and resist collusion attack of attribute authority.The scheme with dynamic policy updating technique was secure against chosen plaintext attack under the standard model and can support any types of policy updating.Compared to the existing related schemes,the size of ciphertext and users’ secret key is reduced and can significantly reduce the computation and communication costs of updating ciphertext.It is more effective in the practical application.     

A combined public-key scheme in the case of attribute-based for wireless body area networks

The wireless body area networks (WBANs) is a practical application model of Internet of things. It can be used in many scenarios, especially for e-healthcare. The medical data of patients is collected by sensors and transmitted using wireless communication techniques. Different users can access the patient’s data with different privileges. Access control is a crucial problem in WBANs. In this paper, we design a new security mechanism named combined public-key scheme in the case of attribute-based (CP-ABES) to address the user access control in WBANs. Our scheme combines encryption and digital signatures. It uses ciphertext-policy attribute-based encryption to achieve data confidentially, access control, and ciphertext-policy attribute-based signature to realize the identity authentication. The access policy used in our scheme is threshold. Based on this feature, the length of ciphertext and signature of our scheme is constant. Our scheme provides confidentiality, unforgeability, signer privacy and collusion resistance. We prove the efficiency of our scheme theoretically and analyze the security level and energy consumption of our scheme.

     

云计算平台下基于属性加密的动态版权使用控制方案（英文）

In order to achieve fine-grained access control in cloud computing,existing digital rights management(DRM) schemes adopt attribute-based encryption as the main encryption primitive.However,these schemes suffer from inefficiency and cannot support dynamic updating of usage rights stored in the cloud.In this paper,we propose a novel DRM scheme with secure key management and dynamic usage control in cloud computing.We present a secure key management mechanism based on attribute-based encryption and proxy re-encryption.Only the users whose attributes satisfy the access policy of the encrypted content and who have effective usage rights can be able to recover the content encryption key and further decrypt the content.The attribute based mechanism allows the content provider to selectively provide fine-grained access control of contents among a set of users,and also enables the license server to implement immediate attribute and user revocation.Moreover,our scheme supports privacy-preserving dynamic usage control based on additive homomorphic encryption,which allows the license server in the cloud to update the users' usage rights dynamically without disclosing the plaintext.Extensive analytical results indicate that our proposed scheme is secure and efficient.     

权限分离的属性基加密数据共享方案

属性基加密(ABE, attribute-based encryption)用于提供细粒度访问控制及一对多加密,现已被广泛应用于分布式环境下数据共享方案以提供隐私保护。然而,现有的属性基加密数据共享方案均允许数据拥有者任意修改数据,导致数据真实性无法保证,经常难以满足一些实际应用需求,如个人电子病例、审核系统、考勤系统等。为此,提出一种能保证数据真实可靠且访问控制灵活的数据共享方案。首先,基于RSA代理加密技术实现读写权限分离机制以保证数据真实可靠;其次,使用属性基加密机制提供灵活的访问控制策略;最后,利用关键字检索技术实现支持密钥更新的高效撤销机制。详细的安全性分析表明本方案能提供数据机密性以实现隐私保护,且性能分析和仿真表明本方案具有较高效率,能有效满足实际应用需求。