AI-based Block Identification and Classification in the Blockchain Integrated IoT

Joy Dutta; Deepak Puthal; Ernesto Damiani

doi:10.1109/OCIT56763.2022.00084

AI-based Block Identification and Classification in the Blockchain Integrated IoT

Joy Dutta
, Deepak Puthal
, Ernesto Damiani

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Scopus citations

Abstract

Artificial Intelligence (AI) is gaining popularity in the Internet of Things (IoT) based application-based solution development. Whereas, Blockchain is become unavoidable in IoT for maintaining the end-to-end process in the decentralized approach. Combining these two current-age technologies, this paper details a brief comparative study with the implementations and further analyzes the adaptability of the AI-based solution in the Blockchain-integrated IoT architecture. This work focuses on identifying the of block data in the block validation stage using AI-based approaches. Several supervised, unsupervised, and semi-supervised learning algorithms are analyzed to determine a block's data sensitivity. It is identified that machine learning techniques can identify a block's data with very high accuracy. By utilizing this, the block's sensitivity can be identified, which can help the system to reduce the energy consumption of the block validation stage by dynamically choosing an appropriate consensus mechanism.

Original language	British English
Title of host publication	Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	415-421
Number of pages	7
ISBN (Electronic)	9781665493482
DOIs	https://doi.org/10.1109/OCIT56763.2022.00084
State	Published - 2022
Event	20th OITS International Conference on Information Technology, OCIT 2022 - Bhubaneswar, India Duration: 14 Dec 2022 → 16 Dec 2022

Publication series

Name	Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022

Conference

Conference	20th OITS International Conference on Information Technology, OCIT 2022
Country/Territory	India
City	Bhubaneswar
Period	14/12/22 → 16/12/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Block Validation
Blockchain
Edge Devices
Energy Efficiency
IoT
Machine Learning

Access to Document

10.1109/OCIT56763.2022.00084

OpenUrl availability

Full text

Cite this

Dutta, J., Puthal, D., & Damiani, E. (2022). AI-based Block Identification and Classification in the Blockchain Integrated IoT. In Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022 (pp. 415-421). (Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OCIT56763.2022.00084

Dutta, Joy ; Puthal, Deepak ; Damiani, Ernesto. / AI-based Block Identification and Classification in the Blockchain Integrated IoT. Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 415-421 (Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022).

@inproceedings{b742389a5022434a92c24e0666f5494b,

title = "AI-based Block Identification and Classification in the Blockchain Integrated IoT",

abstract = "Artificial Intelligence (AI) is gaining popularity in the Internet of Things (IoT) based application-based solution development. Whereas, Blockchain is become unavoidable in IoT for maintaining the end-to-end process in the decentralized approach. Combining these two current-age technologies, this paper details a brief comparative study with the implementations and further analyzes the adaptability of the AI-based solution in the Blockchain-integrated IoT architecture. This work focuses on identifying the of block data in the block validation stage using AI-based approaches. Several supervised, unsupervised, and semi-supervised learning algorithms are analyzed to determine a block's data sensitivity. It is identified that machine learning techniques can identify a block's data with very high accuracy. By utilizing this, the block's sensitivity can be identified, which can help the system to reduce the energy consumption of the block validation stage by dynamically choosing an appropriate consensus mechanism.",

keywords = "Block Validation, Blockchain, Edge Devices, Energy Efficiency, IoT, Machine Learning",

author = "Joy Dutta and Deepak Puthal and Ernesto Damiani",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 20th OITS International Conference on Information Technology, OCIT 2022 ; Conference date: 14-12-2022 Through 16-12-2022",

year = "2022",

doi = "10.1109/OCIT56763.2022.00084",

language = "British English",

series = "Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "415--421",

booktitle = "Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022",

address = "United States",

}

Dutta, J, Puthal, D & Damiani, E 2022, AI-based Block Identification and Classification in the Blockchain Integrated IoT. in Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022. Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022, Institute of Electrical and Electronics Engineers Inc., pp. 415-421, 20th OITS International Conference on Information Technology, OCIT 2022, Bhubaneswar, India, 14/12/22. https://doi.org/10.1109/OCIT56763.2022.00084

AI-based Block Identification and Classification in the Blockchain Integrated IoT. / Dutta, Joy; Puthal, Deepak; Damiani, Ernesto.
Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 415-421 (Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - AI-based Block Identification and Classification in the Blockchain Integrated IoT

AU - Dutta, Joy

AU - Puthal, Deepak

AU - Damiani, Ernesto

PY - 2022

Y1 - 2022

N2 - Artificial Intelligence (AI) is gaining popularity in the Internet of Things (IoT) based application-based solution development. Whereas, Blockchain is become unavoidable in IoT for maintaining the end-to-end process in the decentralized approach. Combining these two current-age technologies, this paper details a brief comparative study with the implementations and further analyzes the adaptability of the AI-based solution in the Blockchain-integrated IoT architecture. This work focuses on identifying the of block data in the block validation stage using AI-based approaches. Several supervised, unsupervised, and semi-supervised learning algorithms are analyzed to determine a block's data sensitivity. It is identified that machine learning techniques can identify a block's data with very high accuracy. By utilizing this, the block's sensitivity can be identified, which can help the system to reduce the energy consumption of the block validation stage by dynamically choosing an appropriate consensus mechanism.

AB - Artificial Intelligence (AI) is gaining popularity in the Internet of Things (IoT) based application-based solution development. Whereas, Blockchain is become unavoidable in IoT for maintaining the end-to-end process in the decentralized approach. Combining these two current-age technologies, this paper details a brief comparative study with the implementations and further analyzes the adaptability of the AI-based solution in the Blockchain-integrated IoT architecture. This work focuses on identifying the of block data in the block validation stage using AI-based approaches. Several supervised, unsupervised, and semi-supervised learning algorithms are analyzed to determine a block's data sensitivity. It is identified that machine learning techniques can identify a block's data with very high accuracy. By utilizing this, the block's sensitivity can be identified, which can help the system to reduce the energy consumption of the block validation stage by dynamically choosing an appropriate consensus mechanism.

KW - Block Validation

KW - Blockchain

KW - Edge Devices

KW - Energy Efficiency

KW - IoT

KW - Machine Learning

UR - https://www.scopus.com/pages/publications/85150310754

U2 - 10.1109/OCIT56763.2022.00084

DO - 10.1109/OCIT56763.2022.00084

M3 - Conference contribution

AN - SCOPUS:85150310754

T3 - Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022

SP - 415

EP - 421

BT - Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th OITS International Conference on Information Technology, OCIT 2022

Y2 - 14 December 2022 through 16 December 2022

ER -

Dutta J, Puthal D, Damiani E. AI-based Block Identification and Classification in the Blockchain Integrated IoT. In Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 415-421. (Proceedings - 2022 OITS International Conference on Information Technology, OCIT 2022). doi: 10.1109/OCIT56763.2022.00084

AI-based Block Identification and Classification in the Blockchain Integrated IoT

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

Other files and links

Fingerprint

Cite this