A blockchain-based scheme for sybil attack detection in underwater wireless sensor networks

Md Murshedul Arifeen; Abdullah Al Mamun; Tanvir Ahmed; M. Shamim Kaiser; Mufti Mahmud

doi:10.1007/978-981-33-4673-4_37

A blockchain-based scheme for sybil attack detection in underwater wireless sensor networks

Md Murshedul Arifeen^*
, Abdullah Al Mamun
, Tanvir Ahmed
, M. Shamim Kaiser
, Mufti Mahmud

^*Corresponding author for this work

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

23 Scopus citations

Abstract

Underwater wireless sensor network (UWSN) has become popular because of its diverse applications and massive improvements in sensing technologies in recent years. However, this sensor network is vulnerable to various types of cyber-attacks due to its inherent characteristics. Among many cyber-attacks, the Sybil attack is one of the fatal attacks and damages the network severely. In this work, we have proposed a blockchain-based Sybil attack detection scheme in UWSN. We have also integrated one of our previous trust model with the blockchain-based method to make it resilient against the attacks detection. We have conducted an experimented in Flask and discussed the implementation with code details.

Original language	English
Title of host publication	Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020
Editors	M. Shamim Kaiser, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	467-476
Number of pages	10
ISBN (Print)	9789813346727
DOIs	https://doi.org/10.1007/978-981-33-4673-4_37
State	Published - 2021
Externally published	Yes
Event	2nd International Conference on Trends in Computational and Cognitive Engineering, TCCE 2020 - Savar, Bangladesh Duration: 17 Dec 2020 → 18 Dec 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1309
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	2nd International Conference on Trends in Computational and Cognitive Engineering, TCCE 2020
Country/Territory	Bangladesh
City	Savar
Period	17/12/20 → 18/12/20

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Blockchain
Cluster
Flask
Postman
Sybil attack
UWSN
Wireless sensor netwrok

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-33-4673-4_37

Cite this

Arifeen, M. M., Al Mamun, A., Ahmed, T., Kaiser, M. S., & Mahmud, M. (2021). A blockchain-based scheme for sybil attack detection in underwater wireless sensor networks. In M. S. Kaiser, A. Bandyopadhyay, M. Mahmud, & K. Ray (Eds.), Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020 (pp. 467-476). (Advances in Intelligent Systems and Computing; Vol. 1309). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-33-4673-4_37

Arifeen, Md Murshedul ; Al Mamun, Abdullah ; Ahmed, Tanvir et al. / A blockchain-based scheme for sybil attack detection in underwater wireless sensor networks. Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020. editor / M. Shamim Kaiser ; Anirban Bandyopadhyay ; Mufti Mahmud ; Kanad Ray. Springer Science and Business Media Deutschland GmbH, 2021. pp. 467-476 (Advances in Intelligent Systems and Computing).

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abstract = "Underwater wireless sensor network (UWSN) has become popular because of its diverse applications and massive improvements in sensing technologies in recent years. However, this sensor network is vulnerable to various types of cyber-attacks due to its inherent characteristics. Among many cyber-attacks, the Sybil attack is one of the fatal attacks and damages the network severely. In this work, we have proposed a blockchain-based Sybil attack detection scheme in UWSN. We have also integrated one of our previous trust model with the blockchain-based method to make it resilient against the attacks detection. We have conducted an experimented in Flask and discussed the implementation with code details.",

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Arifeen, MM, Al Mamun, A, Ahmed, T, Kaiser, MS & Mahmud, M 2021, A blockchain-based scheme for sybil attack detection in underwater wireless sensor networks. in MS Kaiser, A Bandyopadhyay, M Mahmud & K Ray (eds), Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020. Advances in Intelligent Systems and Computing, vol. 1309, Springer Science and Business Media Deutschland GmbH, pp. 467-476, 2nd International Conference on Trends in Computational and Cognitive Engineering, TCCE 2020, Savar, Bangladesh, 17/12/20. https://doi.org/10.1007/978-981-33-4673-4_37

A blockchain-based scheme for sybil attack detection in underwater wireless sensor networks. / Arifeen, Md Murshedul; Al Mamun, Abdullah; Ahmed, Tanvir et al.
Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020. ed. / M. Shamim Kaiser; Anirban Bandyopadhyay; Mufti Mahmud; Kanad Ray. Springer Science and Business Media Deutschland GmbH, 2021. p. 467-476 (Advances in Intelligent Systems and Computing; Vol. 1309).

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

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Arifeen MM, Al Mamun A, Ahmed T, Kaiser MS, Mahmud M. A blockchain-based scheme for sybil attack detection in underwater wireless sensor networks. In Kaiser MS, Bandyopadhyay A, Mahmud M, Ray K, editors, Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 467-476. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-33-4673-4_37

A blockchain-based scheme for sybil attack detection in underwater wireless sensor networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this