Fog Computing: Security Challenges and Countermeasures

Ashi, Zain; Al-Fawa’reh, Mohammad; Al-Fayoumi, Mustafa

doi:10.5120/ijca2020920648

Cited by 16 publications

(9 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A cross-chaining platform is required for blockchain enabling ecosystems (interconnected). Transparency is required in the design, development, and deployment of blockchain-aware fog-cloud data management for drones [47].…”

Section: Blockchain Cross-chaining Platform Limitationsmentioning

confidence: 99%

“…Scaling is the key to maintaining a distributed storage system and should focus on sharding and other meta storage. Thus, maintaining transparency and consistency of distributed applications during sharding is critical for a distributed storage system with elastic scaling [47,48]. Until recently, the only blockchainaware fog-cloud-based distributed storage strategy was static data sharding.…”

Section: Distributed Storage and Scalability Challengesmentioning

confidence: 99%

“…Node engineers are responsible for designing nodes that store data correctly and reliably in distributed fog-cloud nodes [45,49]. In this case, each node should keep a complete and efficient copy of the distributed ledger [45,47]. Blockchain engineers must provide nodes to cloud-based service providers, small businesses, and custom engineers as a tool and service that helps them create decentralized applications faster and more securely.…”

Section: Intercommunication Nodes Security Limitationsmentioning

confidence: 99%

See 2 more Smart Citations

Blockchain-Aware Distributed Dynamic Monitoring: A Smart Contract for Fog-Based Drone Management in Land Surface Changes

et al. 2021

View full text Add to dashboard Cite

In this paper, we propose a secure blockchain-aware framework for distributed data management and monitoring. Indeed, images-based data are captured through drones and transmitted to the fog nodes. The main objective here is to enable process and schedule, to investigate individual captured entity (records) and to analyze changes in the blockchain storage with a secure hash-encrypted (SH-256) consortium peer-to-peer (P2P) network. The proposed blockchain mechanism is also investigated for analyzing the fog-cloud-based stored information, which is referred to as smart contracts. These contracts are designed and deployed to automate the overall distributed monitoring system. They include the registration of UAVs (drones), the day-to-day dynamic captured drone-based images, and the update transactions in the immutable storage for future investigations. The simulation results show the merit of our framework. Indeed, through extensive experiments, the developed system provides good performances regarding monitoring and management tasks.

show abstract

Section: Blockchain Cross-chaining Platform Limitationsmentioning

confidence: 99%

Section: Distributed Storage and Scalability Challengesmentioning

confidence: 99%

Section: Intercommunication Nodes Security Limitationsmentioning

confidence: 99%

See 1 more Smart Citation

Blockchain-Aware Distributed Dynamic Monitoring: A Smart Contract for Fog-Based Drone Management in Land Surface Changes

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Likewise, Cloud computing architecture when used with IoT devices may suffer from a critical challenge related to delay-sensitive applications such as online games and emergency services which might be ruined when unexpected delays occur. Consequently, fog computing (FC) has been proposed to overcome these drawbacks of Cloud computing traditional drawbacks [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Fog computing security and privacy issues, open challenges, and blockchain solution: An overview

Alzoubi

Al‐Ahmad

Jaradat

2021

IJECE

View full text Add to dashboard Cite

<span lang="EN-US">Due to the expansion growth of the IoT devices, Fog computing was proposed to enhance the low latency IoT applications and meet the distribution nature of these devices. However, Fog computing was criticized for several privacy and security vulnerabilities. This paper aims to identify and discuss the security challenges for Fog computing. It also discusses blockchain technology as a complementary mechanism associated with Fog computing to mitigate the impact of these issues. The findings of this paper reveal that blockchain can meet the privacy and security requirements of fog computing; however, there are several limitations of blockchain that should be further investigated in the context of Fog computing.</span>

show abstract

“…14,15 Therefore, security and privacy issues can be mitigated by providing novel solutions that can meet the special requirements of Fog computing. Recently, many papers have discussed the state-of-the-art of Fog security and privacy issues (eg, [16][17][18][19][20][21][22][23] ). However, most of these papers have discussed these issues at a very high level.…”

mentioning

confidence: 99%

Fog computing security and privacy for the Internet of Thing applications: State‐of‐the‐art

Alzoubi

Osmanaj

Jaradat

et al. 2020

Security and Privacy

View full text Add to dashboard Cite

Fog nodes are implemented near to end‐users Internet of Things (IoT) devices, which mitigate the impact of low latency, location awareness, and geographic distribution unsupported features of many IoT applications. Moreover, Fog computing decreases the data offload into the Cloud, which decreases the response time. Despite these benefits, Fog computing faces many challenges in meeting security and privacy requirements. These challenges occur due to the limitations of Fog computing resources. In fact, Fog computing may add new security and privacy issues. Although many papers have discussed the Fog security and privacy issues recently, most of these papers have discussed these issues at a very high level. This paper provides a comprehensive understanding of Fog privacy and security issue. In this survey, we review the literature on Fog computing to draw the state‐of‐the‐art of the security and privacy issues raised by Fog computing. The findings of this survey reveal that studying Fog computing is still in its infant stage. Many questions are yet to be answered to address the privacy and security challenges of Fog computing.

show abstract

Fog Computing: Security Challenges and Countermeasures

Cited by 16 publications

References 19 publications

Blockchain-Aware Distributed Dynamic Monitoring: A Smart Contract for Fog-Based Drone Management in Land Surface Changes

Blockchain-Aware Distributed Dynamic Monitoring: A Smart Contract for Fog-Based Drone Management in Land Surface Changes

Fog computing security and privacy issues, open challenges, and blockchain solution: An overview

Fog computing security and privacy for the Internet of Thing applications: State‐of‐the‐art

Contact Info

Product

Resources

About