A Secure and Verifiable Outsourced Access Control Scheme in Fog-Cloud Computing

Fan, Kai; Wang, Junxiong; Wang, Xin; Li, Hui; Yang, Yintang

doi:10.3390/s17071695

Cited by 65 publications

(41 citation statements)

References 32 publications

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“…Fan et al [58] also designed a CP-ABE-based verifiable multi-authority outsourced access control scheme in a fogcloud network. This scheme offloads most encryption and decryption computations to fog devices in order to reduce computational overhead of user side.…”

Section: Secure Data Storage In Edge Computingmentioning

confidence: 99%

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A Survey on Secure Data Analytics in Edge Computing

Liú

Yan

Ding

et al. 2019

IEEE Internet Things J.

142

103

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Internet of Things (IoT) is gaining increasing popularity. Overwhelming volumes of data are generated by IoT devices. Those data after analytics provide significant information that could greatly benefit IoT applications. Different from traditional applications, IoT applications such as environmental monitoring, smart navigation and smart healthcare come with new requirements such as mobility, real-time response, and location awareness. However, traditional cloud computing paradigm cannot satisfy these demands due to centralized processing and being far away from local devices. Hence, edge computing was introduced to perform data processing and storage in the edge of networks, which is closer to data sources than cloud computing, thus efficient and location-aware. Unfortunately, edge computing brings new security and privacy challenges when applied to data analytics. The literature still lacks a thorough review on the recent advances in secure data analytics in edge computing. In this paper, we first introduce the concept and features of edge computing, and then propose a number of requirements for its secure data analytics by analyzing potential security threats in edge computing. Furthermore, we give a comprehensive review on the pros and cons of the existing works on data analytics in edge computing based on our proposed requirements. Based on our literature survey, we highlight current open issues and propose future research directions.

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Section: Secure Data Storage In Edge Computingmentioning

confidence: 99%

“…However, encryption and decryption are performed in user devices [58] and [83]. Due to limited resources of end devices, the schemes bring huge computing cost to user devices with the increase of attributes.…”

Section: Secure Data Storage In Edge Computingmentioning

confidence: 99%

A Survey on Secure Data Analytics in Edge Computing

Liú

Yan

Ding

et al. 2019

IEEE Internet Things J.

142

103

View full text Add to dashboard Cite

show abstract

“…Fan et al [7] proposed an outsourced, secure and verifiable multi-authority access control system called VO-MAACS. In their construction, most encryption and decryption computations are outsourced to Fog devices, and the result can be verified by signed the message.…”

Section: Related Workmentioning

confidence: 99%

Collaborative and Fast Decryption Using Fog Computing and A Hidden Access Policy

Saidi¹,

Nouali²,

Amira³

2019

6th International Conference on Computer Science, Engineering and Information Technology (CSEIT-2019)

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Nowadays, IOT (Internet Of Things) devices are everywhere and are used in many domains including e-health, smart-cities, vehicular networks,.. etc. Users use IOT devices like smartphones to access and share data anytime and from anywhere. However, the usage of such devices also introduces many security issues, including in data sharing. For this reason, security mechanisms such as ABE (Attribute-Based Encryption) have been introduced in IOT environments to secure data sharing. Nevertheless, Ciphertext-Policy ABE (CP-ABE) is rather resource intensive both in the encryption and the decryption processes. This makes it unadapted for IOT environments where the devices have limited computing resources and low energy. In addition, in CP-ABE, the privacy of the access policy is not assured because it is sent in clear text along with the cipher-text. To overcome these issues, we propose a new approach based on CP-ABE which uses fog devices. The letters collaborate to reduce the bandwidth, and partially delegates data decryption to these fog devices. It also ensures the privacy of the access policy by adding false attributes to the access policy. We also discuss the security properties and the complexity of our approach. We show that our approach ensures the confidentiality of the data and the privacy of the access policy. The complexity is also improved when compared with existing approaches.

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“…To ensure the privacy of patients, access control policies IOTbased were proposed [25,26]. Fan et al [27] proposed a multiauthority mechanism in fog computing and cloud data center. Data owners and users can encrypt and decrypt data with only a small amount of computation.…”

Section: Introductionmentioning

confidence: 99%

“…The authorized institutions in this scheme are independent of each other, and there is no information interaction among them. Based on literature [9,27], we propose a distributed fine-grained access control scheme with outsourced computation in fog computing for electronic health records. Gope et al [28] proposed a new secure communication architecture for fog computing.…”

Section: Introductionmentioning

confidence: 99%

A Distributed Access Control with Outsourced Computation in Fog Computing

Wang

et al. 2019

Security and Communication Networks

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With the rapid development of information technology and the Internet of Things Technology (IOT), data security and healthy privacy are getting a lot of attention. In order to store, access, and share electronic health records, storage of this data is transferred to a third-party-cloud server. The security and privacy of electronic health records stored at date center or cloud server are not guaranteed. Before being sent to date center or cloud server, this data should be encrypted. Designing an efficient and secure fine-grained access control strategy for personal health records is facing enormous challenges. Security and privacy for electronic health records are very important because the electronic health data which plays an important role in medical server and treatment is directly associated with a particular patient. Attribute-based encryption (ABE) can effectively achieve fine-grained access control. However, the computation of bilinear pairings requires a large amount of computation overhead in ABE scheme. In order to decrease the computational overhead and ensure the confidentiality of electronic health records, a distributed fine-grained access control scheme with outsourced computation for IOT is proposed in this paper. Little calculation is executed by the receiver and sender in our proposed scheme. Outsourcing computing reduces the computing burden. The analyses of safety and performance show that our proposed scheme is safe and effective compared with previous schemes.

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A Secure and Verifiable Outsourced Access Control Scheme in Fog-Cloud Computing

Cited by 65 publications

References 32 publications

A Survey on Secure Data Analytics in Edge Computing

A Survey on Secure Data Analytics in Edge Computing

Collaborative and Fast Decryption Using Fog Computing and A Hidden Access Policy

A Distributed Access Control with Outsourced Computation in Fog Computing

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