Fog computing paradigm extends the storage, networking, and computing facilities of the cloud computing toward the edge of the networks while offloading the cloud data centers and reducing service latency to the end users. However, the characteristics of fog computing arise new security and privacy challenges. The existing security and privacy measurements for cloud computing cannot be directly applied to the fog computing due to its features, such as mobility, heterogeneity, and large-scale geo-distribution. This paper provides an overview of existing security and privacy concerns, particularly for the fog computing. Afterward, this survey highlights ongoing research effort, open challenges, and research trends in privacy and security issues for fog computing.

Security and Privacy in Fog Computing: Challenges

A survey on cloud computing security

To realize the broad vision of pervasive computing, underpinned by the “Internet of Things” (IoT), it is essential to break down application and technology-based silos and support broad connectivity and data sharing; the cloud being a natural enabler. Work in IoT tends toward the subsystem, often focusing on particular technical concerns or application domains, before offloading data to the cloud. As such, there has been little regard given to the security, privacy, and personal safety risks that arise beyond these subsystems; i.e., from the wide-scale, cross-platform openness that cloud services bring to IoT. In this paper, we focus on security considerations for IoT from the perspectives of cloud tenants, end-users, and cloud providers, in the context of wide-scale IoT proliferation, working across the range of IoT technologies (be they things or entire IoT subsystems). Our contribution is to analyze the current state of cloud-supported IoT to make explicit the security considerations that require further work.

/pdf/twenty-security-considerations-for-cloud-supported-internet-2o76pb2i7g.pdf

Twenty Security Considerations for Cloud-Supported Internet of Things

https://research.tees.ac.uk/ws/files/9947356/CCAF_VC_openstack_accepted.pdf

Cloud computing adoption framework

We propose a new decentralized access control scheme for secure data storage in clouds that supports anonymous authentication. In the proposed scheme, the cloud verifies the authenticity of the series without knowing the user's identity before storing data. Our scheme also has the added feature of access control in which only valid users are able to decrypt the stored information. The scheme prevents replay attacks and supports creation, modification, and reading data stored in the cloud. We also address user revocation. Moreover, our authentication and access control scheme is decentralized and robust, unlike other access control schemes designed for clouds which are centralized. The communication, computation, and storage overheads are comparable to centralized approaches.

/pdf/decentralized-access-control-with-anonymous-authentication-2xvp3hi8o4.pdf

Decentralized Access Control with Anonymous Authentication of Data Stored in Clouds

[IEEE 2011 IEEE World Congress on Services (SERVICES) - Washington, DC, USA (2011.07.4-2011.07.9)] 2011 IEEE World Congress on Services - TrustCloud: A Framework for Accountability and Trust in Cloud Computing

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[IEEE 2011 IEEE World Congress on Services (SERVICES) - Washington, DC, USA (2011.07.4-2011.07.9)] 2011 IEEE World Congress on Services - TrustCloud: A Framework for Accountability and Trust in Cloud Computing