Blockchain for Ensuring Security, Privacy, and Trust in IoT Environments: The State of the Art

Erdem, Ahmet; Yıldırım, Sevgi Özkan; Angin, Pelin

doi:10.1007/978-3-030-18075-1_6

Cited by 23 publications

(27 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is not a simple task to set up IoT systems that operate effectively, securely, and autonomously. BC indicates a promise to simplify a secure combination of IoT devices 29 …”

Section: Discussion and Future Workmentioning

confidence: 99%

See 1 more Smart Citation

Security challenges of blockchain in Internet of things: Systematic literature review

Cao

Chen

2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Since security is the most important issue in the Internet of things (IoT) and blockchain (BC), this article aims to identify, analyze, and organize the literature about security in the IoT and BC context up to August 2020 and proposes an agenda for future research. The 39 related articles have been ranked into three main categories, smart city, data management and information, and architecture and framework. The findings showed that the distinctive technical aspects of BC might impressively find a solution for privacy and security problems encountering the IoT development, supply distributed storage, transparency, trust, and other support for IoT. It is conducted to form a valid, impressive, and secure distributed IoT network and supply a beneficial guarantee for the security of IoT users. Since the devices of IoT are simply reachable, a BC‐depended solution can be executed, which may certify the confidentiality and safety of the info preserved in the devices. In addition, BC technology facilitates the secure sharing of IoT datasets and secure IoT systems. However, blockchains require more computational strength and high bandwidth and are not perfectly proper for many resource‐restricted IoT devices.

show abstract

“…It is not a simple task to set up IoT systems that operate effectively, securely, and autonomously. BC indicates a promise to simplify a secure combination of IoT devices 29 …”

Section: Discussion and Future Workmentioning

confidence: 99%

“…In addition, Erdem et al 29 investigated BC to guarantee protection, trust, and security in the environments of IoT. Their review indicated that the BC suggests remedies for difficulties such as individual failure points, reliability, trust, time‐stepping, and privacy.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Security challenges of blockchain in Internet of things: Systematic literature review

Cao

Chen

2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…Blockchains leverage proof-of-work (PoW): a consensus distributed mechanism, to securely store data and establish trust. Nowadays, this blockchain system is being adopted in wireless domain systems [14]- [15]. The authors in [14], in their work proposed a network architecture based on mobile blockchain to store sensory data.…”

Section: Federated Learning With Blockchainmentioning

confidence: 99%

“…Nowadays, this blockchain system is being adopted in wireless domain systems [14]- [15]. The authors in [14], in their work proposed a network architecture based on mobile blockchain to store sensory data. The proposed framework in [16] uses drones to collect data processed by mining at cloud servers.…”

Section: Federated Learning With Blockchainmentioning

confidence: 99%

“…Our focus in this work is in the blockchain mining process. It is very clear from the works [14]- [15] that miners in mobile blockchain systems store the transaction ledger while updating the transactions during communication. However, the miners cannot perform mining and networking functions, if they do not maintain stability in network connections or if they do not have sufficient computing capabilities.…”

Section: Federated Learning With Blockchainmentioning

confidence: 99%

See 1 more Smart Citation

Federated learning meets blockchain at 6G edge

Pokhrel

2020

Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond

View full text Add to dashboard Cite

We consider a new blockchain empowered federated learning approach which uses wireless mobile miners at drones in the future sixth generation (6G) networks for a disaster response system. Our focus is on the blockchain latency, and energy consumption in the proposed architecture of the network of drones. Maintaining low delay in wireless communication between the drones is required to minimize blockchain forking events while performing blockchain operations. Therefore, we quantify the probability of occurrence of forking events to analyze the uncertainty of the system towards the additional energy wastage. The forked block (due to channel impairments or mobility) incurs re-computation energy. We develop pragmatic analyses of the expected energy consumption by considering the parameters like the number of miners as well as the power consumed during computing, block transfer and 6G channel dynamics for the system. CCS CONCEPTS • Networks → Network performance analysis; • Computing methodologies → Distributed computing methodologies.

show abstract

Intrusion detection framework using stacked auto encoder based deep neural network in IOT network

Sugitha¹,

Preethi²,

Kavitha³

2022

Concurrency and Computation

View full text Add to dashboard Cite

Security is of paramount importance in the number of systems affiliated with increased IoT. Therefore, in this manuscript, a Stacked Auto Encoder based Deep Neural Network (DNN) fostered Intrusion Detection Framework is proposed to secure the IoT Environment. Here, the data is given to the preprocessing stage, in which redundancy elimination and replacement of missing value are done. Then, the preprocessed output is given to the feature selection process. Wherein, the Golden eagle optimization (GEO) algorithm selects the optimum features from pre-processed data sets. Then selected features are given to the Stacked Auto encoder based deep neural network for classification, which classified the data, like normal, anomalies. Here, the proposed approach is implemented in Python language. To check the robustness of the proposed approach, the performance metrics, like accuracy, specificity, sensitivity, F-measure, precision, and recall is measured. The simulation outcome show that the proposed Stacked Auto Encoder based Deep Neural Network based Intrusion Detection Framework (IDS-FS-GEO-SAENN) method attains higher accuracy 99.

show abstract

Blockchain for Ensuring Security, Privacy, and Trust in IoT Environments: The State of the Art

Cited by 23 publications

References 16 publications

Security challenges of blockchain in Internet of things: Systematic literature review

Security challenges of blockchain in Internet of things: Systematic literature review

Federated learning meets blockchain at 6G edge

Intrusion detection framework using stacked auto encoder based deep neural network in IOT network

Contact Info

Product

Resources

About