Hidden Markov model based trust management model for underwater wireless sensor networks

Md Murshedul Arifeen; Dip Bhakta; Sm Rakibul Hasan Remu; Md Maynul Islam; Mufti Mahmud; M. S. Kaiser

doi:10.1145/3377049.3377054

Hidden Markov model based trust management model for underwater wireless sensor networks

Md Murshedul Arifeen
, Dip Bhakta
, Sm Rakibul Hasan Remu
, Md Maynul Islam
, Mufti Mahmud
, M. S. Kaiser

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

4 Scopus citations

Abstract

With the massive improvement in sensing techniques, government agencies and researchers are interested in exploring underwater resources by deploying underwater sensor nodes. The harsh random environment and open acoustic channel are the main two challenges for the researchers. In addition, the network is vulnerable due to faulty and compromised node. This paper presents a trust management model based on Hidden Markov Model (HMM) for measuring the trustworthiness of the sensor nodes to combat malicious or internal attack. In addition, we have also suggested a lightweight stream cipher scheme named ChaCha20 to prevent external attack. Mathematical analysis shows that ChaCha20 performs better in terms of energy efficiency which is suitable for UWSN. The numerical results reveals that the proposed methods are able to prevent attacks in UWSNs.

Original language	English
Title of host publication	International Conference on Computing Advancements
Subtitle of host publication	�Age of Computing and Augmented Life�, ICCA 2020
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450377782
DOIs	https://doi.org/10.1145/3377049.3377054
State	Published - 10 Jan 2020
Externally published	Yes
Event	2020 International Conference on Computing Advancements: Age of Computing and Augmented Life, ICCA 2020 - Dhaka, Bangladesh Duration: 10 Jan 2020 → 12 Jan 2020

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2020 International Conference on Computing Advancements: Age of Computing and Augmented Life, ICCA 2020
Country/Territory	Bangladesh
City	Dhaka
Period	10/01/20 → 12/01/20

Bibliographical note

Publisher Copyright:
© 2020 Association for Computing Machinery.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

ChaCha20
HMM
Security
Trust management
UWSN

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3377049.3377054

Cite this

Murshedul Arifeen, M., Bhakta, D., Hasan Remu, S. R., Maynul Islam, M., Mahmud, M., & Kaiser, M. S. (2020). Hidden Markov model based trust management model for underwater wireless sensor networks. In International Conference on Computing Advancements: �Age of Computing and Augmented Life�, ICCA 2020 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3377049.3377054

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title = "Hidden Markov model based trust management model for underwater wireless sensor networks",

abstract = "With the massive improvement in sensing techniques, government agencies and researchers are interested in exploring underwater resources by deploying underwater sensor nodes. The harsh random environment and open acoustic channel are the main two challenges for the researchers. In addition, the network is vulnerable due to faulty and compromised node. This paper presents a trust management model based on Hidden Markov Model (HMM) for measuring the trustworthiness of the sensor nodes to combat malicious or internal attack. In addition, we have also suggested a lightweight stream cipher scheme named ChaCha20 to prevent external attack. Mathematical analysis shows that ChaCha20 performs better in terms of energy efficiency which is suitable for UWSN. The numerical results reveals that the proposed methods are able to prevent attacks in UWSNs.",

keywords = "ChaCha20, HMM, Security, Trust management, UWSN",

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note = "Publisher Copyright: {\textcopyright} 2020 Association for Computing Machinery.; 2020 International Conference on Computing Advancements: Age of Computing and Augmented Life, ICCA 2020 ; Conference date: 10-01-2020 Through 12-01-2020",

year = "2020",

month = jan,

day = "10",

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language = "English",

series = "ACM International Conference Proceeding Series",

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Murshedul Arifeen, M, Bhakta, D, Hasan Remu, SR, Maynul Islam, M, Mahmud, M & Kaiser, MS 2020, Hidden Markov model based trust management model for underwater wireless sensor networks. in International Conference on Computing Advancements: �Age of Computing and Augmented Life�, ICCA 2020. ACM International Conference Proceeding Series, Association for Computing Machinery, 2020 International Conference on Computing Advancements: Age of Computing and Augmented Life, ICCA 2020, Dhaka, Bangladesh, 10/01/20. https://doi.org/10.1145/3377049.3377054

Hidden Markov model based trust management model for underwater wireless sensor networks. / Murshedul Arifeen, Md; Bhakta, Dip; Hasan Remu, Sm Rakibul et al.
International Conference on Computing Advancements: �Age of Computing and Augmented Life�, ICCA 2020. Association for Computing Machinery, 2020. (ACM International Conference Proceeding Series).

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

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AU - Bhakta, Dip

AU - Hasan Remu, Sm Rakibul

AU - Maynul Islam, Md

AU - Mahmud, Mufti

AU - Kaiser, M. S.

PY - 2020/1/10

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N2 - With the massive improvement in sensing techniques, government agencies and researchers are interested in exploring underwater resources by deploying underwater sensor nodes. The harsh random environment and open acoustic channel are the main two challenges for the researchers. In addition, the network is vulnerable due to faulty and compromised node. This paper presents a trust management model based on Hidden Markov Model (HMM) for measuring the trustworthiness of the sensor nodes to combat malicious or internal attack. In addition, we have also suggested a lightweight stream cipher scheme named ChaCha20 to prevent external attack. Mathematical analysis shows that ChaCha20 performs better in terms of energy efficiency which is suitable for UWSN. The numerical results reveals that the proposed methods are able to prevent attacks in UWSNs.

AB - With the massive improvement in sensing techniques, government agencies and researchers are interested in exploring underwater resources by deploying underwater sensor nodes. The harsh random environment and open acoustic channel are the main two challenges for the researchers. In addition, the network is vulnerable due to faulty and compromised node. This paper presents a trust management model based on Hidden Markov Model (HMM) for measuring the trustworthiness of the sensor nodes to combat malicious or internal attack. In addition, we have also suggested a lightweight stream cipher scheme named ChaCha20 to prevent external attack. Mathematical analysis shows that ChaCha20 performs better in terms of energy efficiency which is suitable for UWSN. The numerical results reveals that the proposed methods are able to prevent attacks in UWSNs.

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KW - HMM

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KW - UWSN

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M3 - Conference contribution

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Y2 - 10 January 2020 through 12 January 2020

ER -

Murshedul Arifeen M, Bhakta D, Hasan Remu SR, Maynul Islam M, Mahmud M, Kaiser MS. Hidden Markov model based trust management model for underwater wireless sensor networks. In International Conference on Computing Advancements: �Age of Computing and Augmented Life�, ICCA 2020. Association for Computing Machinery. 2020. (ACM International Conference Proceeding Series). doi: 10.1145/3377049.3377054

Hidden Markov model based trust management model for underwater wireless sensor networks

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this