Semi-real-time hash comparison for detecting intrusions using blockchain

Oscar Lage Serrano; Santiago de Diego de Diego; Iñaki Seco; Xabier Larrucea

doi:10.1007/978-3-030-32213-7_13

Semi-real-time hash comparison for detecting intrusions using blockchain

Oscar Lage Serrano, Santiago de Diego de Diego, Iñaki Seco, Xabier Larrucea

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

2 Citations (Scopus)

Abstract

This paper proposes an extensible Blockchain-Based Industrial Anomaly Detection (BIAD) system for industrial scenarios. This approach is to use Blockchain to prevent a set of attacks at semi-real time by comparing logs. Besides, this solution regards attacker firmware modifications following the same comparison principle within the same infrastructure.

Original language	English
Title of host publication	New Trends in Model and Data Engineering MEDI 2019 International Workshops DETECT, DSSGA, TRIDENT 2019 Proceedings
Editors	Christian Attiogbé, Flavio Ferrarotti, Sofian Maabout
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	165-179
Number of pages	15
ISBN (Print)	9783030322120
DOIs	https://doi.org/10.1007/978-3-030-32213-7_13
Publication status	Published - 2019
Event	9th International Conference on New Trends in Model and Data Engineering, MEDI 2019 - Toulouse, France Duration: 28 Oct 2019 → 31 Oct 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1085
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	9th International Conference on New Trends in Model and Data Engineering, MEDI 2019
Country/Territory	France
City	Toulouse
Period	28/10/19 → 31/10/19

Keywords

Blockchain
Critical infrastructure
Industrial systems
Intrusion detection system

Access to Document

10.1007/978-3-030-32213-7_13

Cite this

Serrano, O. L., de Diego de Diego, S., Seco, I., & Larrucea, X. (2019). Semi-real-time hash comparison for detecting intrusions using blockchain. In C. Attiogbé, F. Ferrarotti, & S. Maabout (Eds.), New Trends in Model and Data Engineering MEDI 2019 International Workshops DETECT, DSSGA, TRIDENT 2019 Proceedings (pp. 165-179). (Communications in Computer and Information Science; Vol. 1085). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-32213-7_13

Serrano, Oscar Lage ; de Diego de Diego, Santiago ; Seco, Iñaki et al. / Semi-real-time hash comparison for detecting intrusions using blockchain. New Trends in Model and Data Engineering MEDI 2019 International Workshops DETECT, DSSGA, TRIDENT 2019 Proceedings. editor / Christian Attiogbé ; Flavio Ferrarotti ; Sofian Maabout. Springer Science and Business Media Deutschland GmbH, 2019. pp. 165-179 (Communications in Computer and Information Science).

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title = "Semi-real-time hash comparison for detecting intrusions using blockchain",

abstract = "This paper proposes an extensible Blockchain-Based Industrial Anomaly Detection (BIAD) system for industrial scenarios. This approach is to use Blockchain to prevent a set of attacks at semi-real time by comparing logs. Besides, this solution regards attacker firmware modifications following the same comparison principle within the same infrastructure.",

keywords = "Blockchain, Critical infrastructure, Industrial systems, Intrusion detection system",

author = "Serrano, {Oscar Lage} and {de Diego de Diego}, Santiago and I{\~n}aki Seco and Xabier Larrucea",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 9th International Conference on New Trends in Model and Data Engineering, MEDI 2019 ; Conference date: 28-10-2019 Through 31-10-2019",

year = "2019",

doi = "10.1007/978-3-030-32213-7_13",

language = "English",

isbn = "9783030322120",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "165--179",

editor = "Christian Attiogb{\'e} and Flavio Ferrarotti and Sofian Maabout",

booktitle = "New Trends in Model and Data Engineering MEDI 2019 International Workshops DETECT, DSSGA, TRIDENT 2019 Proceedings",

address = "Germany",

}

Serrano, OL , de Diego de Diego, S , Seco, I & Larrucea, X 2019, Semi-real-time hash comparison for detecting intrusions using blockchain. in C Attiogbé, F Ferrarotti & S Maabout (eds), New Trends in Model and Data Engineering MEDI 2019 International Workshops DETECT, DSSGA, TRIDENT 2019 Proceedings. Communications in Computer and Information Science, vol. 1085, Springer Science and Business Media Deutschland GmbH, pp. 165-179, 9th International Conference on New Trends in Model and Data Engineering, MEDI 2019, Toulouse, France, 28/10/19. https://doi.org/10.1007/978-3-030-32213-7_13

Semi-real-time hash comparison for detecting intrusions using blockchain. / Serrano, Oscar Lage ; de Diego de Diego, Santiago ; Seco, Iñaki et al.
New Trends in Model and Data Engineering MEDI 2019 International Workshops DETECT, DSSGA, TRIDENT 2019 Proceedings. ed. / Christian Attiogbé; Flavio Ferrarotti; Sofian Maabout. Springer Science and Business Media Deutschland GmbH, 2019. p. 165-179 (Communications in Computer and Information Science; Vol. 1085).

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

TY - GEN

T1 - Semi-real-time hash comparison for detecting intrusions using blockchain

AU - Serrano, Oscar Lage

AU - de Diego de Diego, Santiago

AU - Seco, Iñaki

AU - Larrucea, Xabier

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

Y1 - 2019

N2 - This paper proposes an extensible Blockchain-Based Industrial Anomaly Detection (BIAD) system for industrial scenarios. This approach is to use Blockchain to prevent a set of attacks at semi-real time by comparing logs. Besides, this solution regards attacker firmware modifications following the same comparison principle within the same infrastructure.

AB - This paper proposes an extensible Blockchain-Based Industrial Anomaly Detection (BIAD) system for industrial scenarios. This approach is to use Blockchain to prevent a set of attacks at semi-real time by comparing logs. Besides, this solution regards attacker firmware modifications following the same comparison principle within the same infrastructure.

KW - Blockchain

KW - Critical infrastructure

KW - Industrial systems

KW - Intrusion detection system

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U2 - 10.1007/978-3-030-32213-7_13

DO - 10.1007/978-3-030-32213-7_13

M3 - Conference contribution

AN - SCOPUS:85075665884

SN - 9783030322120

T3 - Communications in Computer and Information Science

SP - 165

EP - 179

BT - New Trends in Model and Data Engineering MEDI 2019 International Workshops DETECT, DSSGA, TRIDENT 2019 Proceedings

A2 - Attiogbé, Christian

A2 - Ferrarotti, Flavio

A2 - Maabout, Sofian

PB - Springer Science and Business Media Deutschland GmbH

T2 - 9th International Conference on New Trends in Model and Data Engineering, MEDI 2019

Y2 - 28 October 2019 through 31 October 2019

ER -

Serrano OL , de Diego de Diego S , Seco I, Larrucea X. Semi-real-time hash comparison for detecting intrusions using blockchain. In Attiogbé C, Ferrarotti F, Maabout S, editors, New Trends in Model and Data Engineering MEDI 2019 International Workshops DETECT, DSSGA, TRIDENT 2019 Proceedings. Springer Science and Business Media Deutschland GmbH. 2019. p. 165-179. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-32213-7_13

Semi-real-time hash comparison for detecting intrusions using blockchain

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