CCA-secure ABE with outsourced decryption for fog computing

With the rapid development of in modern technologies has led to a novel generation of cyberspace equipment and secure analysis methods such as cyber‐physical system (CPS). The CPS system refers to an intelligent dependable system of embedded smart devices used to monitor and control the cyberspace conditions in a fog computing environment. The fog computing environment connects resources even human beings together to enhance the quality of life through performing of CPS applications using computation resources at the network edge. The optimization of task scheduling for the CSP applications as a challenging issue has been considered as the NP‐hard problem in fog computing environment which is not trivial. On the one hand, reasonable tasks scheduling can increase resource utilization, which can avoid less idle resource. This paper presents a task scheduling algorithm based on moth‐flame optimization algorithm to assign an optimal set of tasks to fog nodes to meet the satisfaction of quality of service requirements of CPS applications in such a way that the total execution time of tasks is minimized. The minimization of task execution and transfer time in the proposed algorithm are considered as objective functions. The experimental testing of the proposed solution is carried out in iFogSim toolkit. As a result of the simulation based on proposed algorithm found, the optimal solution for the scheduling of tasks and equal distribution of tasks to fog nodes has been provided, and less total execution time consumption has been achieved compared with other algorithms.

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“…The fog computing was suggested by Cisco in 2012 . It is a solution to deal with internet‐connected equipment.…”

Section: Preliminary Conceptsmentioning

confidence: 99%

“…The fog computing was suggested by Cisco in 2012. 11 It is a solution to deal with internet-connected equipment. In fog computing, the cloud expands to be near to the things that generate and act on the internet of things (IoT).…”

Section: Task Scheduling In Fog Computingmentioning

confidence: 99%

An efficient task scheduling approach using moth‐flame optimization algorithm for cyber‐physical system applications in fog computing

Ghobaei‐Arani

Souri

Safara

et al. 2019

Trans Emerging Tel Tech

136

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“…A decoy IT approach has been proposed [60] to withstand malware insiders by masquerade signals to avert threatening of sensitive information. Zuo et al [61] suggested a ciphertext attack system in fog computing that presents a solution primarily to present the security model. A security model [22] also has been presented with reviewing possibility and nature of attacks.…”

Section: Security In Fogmentioning

confidence: 99%

Fog Computing: An Overview of Big IoT Data Analytics

Anawar

Wang

Zia

et al. 2018

Wireless Communications and Mobile Computing

145

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A huge amount of data, generated by Internet of Things (IoT), is growing up exponentially based on nonstop operational states. Those IoT devices are generating an avalanche of information that is disruptive for predictable data processing and analytics functionality, which is perfectly handled by the cloud before explosion growth of IoT. Fog computing structure confronts those disruptions, with powerful complement functionality of cloud framework, based on deployment of micro clouds (fog nodes) at proximity edge of data sources. Particularly big IoT data analytics by fog computing structure is on emerging phase and requires extensive research to produce more proficient knowledge and smart decisions. This survey summarizes the fog challenges and opportunities in the context of big IoT data analytics on fog networking. In addition, it emphasizes that the key characteristics in some proposed research works make the fog computing a suitable platform for new proliferating IoT devices, services, and applications. Most significant fog applications (e.g., health care monitoring, smart cities, connected vehicles, and smart grid) will be discussed here to create a well-organized green computing paradigm to support the next generation of IoT applications.

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“…Huang et al [14] proposed a CP-ABE scheme to support data security and fine-grained data access control, using features such as ciphertext updating and computation outsourcing for fog computing with IoT devices. As Zuo et al [28] also found, their scheme's main problem is that it was only suitable with an AND-gate encryption predicate. Xiao et al [25] proposed a hybrid fine-grained search and access authorization scheme for fog computing, based on a CP-ABE cryptographic primitive.…”

Section: A Access Controlmentioning

confidence: 99%

An Encryption-Based Approach to Protect Fog Federations from Rogue Nodes

Alshehri

Panda

2019

Security, Privacy, and Anonymity in Computation, Communication, and Storage

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People have used cloud computing approach to store their data remotely. As auspicious as this approach is, it brings forth many challenges: from data security to time latency issues with data computation as well as delivery to end users. Fog computing has emerged as an extension for cloud computing to bring data processing and storage close to end-users; however, it minimizes the time latency issue but still suffers from data security challenges. For instance, when a fog node providing services to end users is compromised, the users' data security can be violated. Thus, this paper proposes a secure and fine-grained data access control scheme by integrating the Ciphertext Policy Attribute-Based Encryption (CP-ABE) algorithm and blockchain concept to prevent fog nodes from violating end users' data security in a situation where a compromised fog node is being ousted. We also classify the fog nodes into fog federations, based on their attributes such as services and locations, to minimize the time latency and communication overhead between fog nodes and cloud server. Further, the exploitation and integration of the blockchain concept and the CP-ABE algorithm enables fog nodes in the same fog federation to perform the authorization process in a distributed manner. In addition, to solve time latency and communication overhead problems, we equip every fog node with an off-chain database to store most frequently accessed data files for specific time, and with an on-chain access control policies table (On-chain Files Tracking Table) which must be protected from being tampered by malicious (rogue) fog nodes. Therefore, blockchain plays a vital role here as it is tamper-proof by nature. We demonstrate our scheme's efficiency and feasibility by designing algorithms and conducting a security analysis. The provided analysis shows that the proposed scheme is efficient and feasible in ousting malicious (rogue) fog nodes.

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CCA-secure ABE with outsourced decryption for fog computing

Cited by 134 publications

References 16 publications

An efficient task scheduling approach using moth‐flame optimization algorithm for cyber‐physical system applications in fog computing

An efficient task scheduling approach using moth‐flame optimization algorithm for cyber‐physical system applications in fog computing

Fog Computing: An Overview of Big IoT Data Analytics

An Encryption-Based Approach to Protect Fog Federations from Rogue Nodes

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