Titlebook: Blockchain based Internet of Things; Debashis De,Siddhartha Bhattacharyya,Joel J. P. C. Book 2022 The Editor(s) (if applicable) and The Au

bile-acids

书目名称Blockchain based Internet of Things影响因子(影响力)




书目名称Blockchain based Internet of Things影响因子(影响力)学科排名




书目名称Blockchain based Internet of Things网络公开度




书目名称Blockchain based Internet of Things网络公开度学科排名




书目名称Blockchain based Internet of Things被引频次




书目名称Blockchain based Internet of Things被引频次学科排名




书目名称Blockchain based Internet of Things年度引用




书目名称Blockchain based Internet of Things年度引用学科排名




书目名称Blockchain based Internet of Things读者反馈




书目名称Blockchain based Internet of Things读者反馈学科排名

ovation

Arteriography

https://doi.org/10.1007/978-3-540-72550-3buted identity management with zero knowledge proof followed by self-sovereign identity. Then we move forward with the detailed case study of Hyperledger Indy. Finally, we give case study, interoperability issue, and contemporary survey of Polkadot.

BRAWL

https://doi.org/10.1007/978-3-540-72550-3 network attacks. To investigate these attacks on a blockchain-based IoT network, an improved K-Nearest Neighbor (KNN) classifier was postulated. Improved KNN (I-KNN) surpassed traditional KNN (T-KNN) with an accuracy of 96.7% and 81.6% for the I-KNN classifier and T-KNN, respectively.

有常识

埋葬

Blockchain-Based Internet of Things: Challenges and Opportunities, a single point of failure, the implementation of Blockchain in the IoT ecosystem will also improve reliability. The cryptographic algorithms used to encrypt the block data and the hashing techniques can provide additional security.

执

人造

Blockchain in IoT and Beyond: Case Studies on Interoperability and Privacy,buted identity management with zero knowledge proof followed by self-sovereign identity. Then we move forward with the detailed case study of Hyperledger Indy. Finally, we give case study, interoperability issue, and contemporary survey of Polkadot.

潜伏期

An Efficient Blockchain-Based IoT System Using Improved KNN Machine Learning Classifier, network attacks. To investigate these attacks on a blockchain-based IoT network, an improved K-Nearest Neighbor (KNN) classifier was postulated. Improved KNN (I-KNN) surpassed traditional KNN (T-KNN) with an accuracy of 96.7% and 81.6% for the I-KNN classifier and T-KNN, respectively.

Salivary-Gland

An Efficient Hash-Selection-Based Blockchain Architecture for Industrial IoT (IIoT),s depending on computational capability by benchmarking. Each cluster is individually more efficient in terms of both energy utilization and security for IIoT systems by using different computationally suitable hash algorithms. The higher efficiency of our model compared to current solutions is proven by experimental results.