Publication:

Early Detection of Cryptojacker Malicious Behaviors on IoT Crowdsensing Devices

Date

Date

Date
2023
Conference or Workshop Item
Published version

Citations

Citation copied

Celdrán, A. H., von der Assen, J., Moser, K., Sánchez Sánchez, P. M., Bovet, G., Martínez Pérez, G., & Stiller, B. (2023). Early Detection of Cryptojacker Malicious Behaviors on IoT Crowdsensing Devices. Proceedings of the IEEE/IFIP Network Operations and Management Symposium, 10154392. https://doi.org/10.1109/noms56928.2023.10154392

Abstract

Abstract

Abstract

Traditionally, IoT crowdsensing devices have been outside the cryptomining domain due to their limitations in terms of computational power. In 2014, Monero (XNR) changed this situation forever. Monero is an open-source digital payment token that can be mined in resource-constrained devices like IoT and single-board computers. Despite the Monero advantages, it opened the door for cryptojackers illicitly mining cryptocurrencies by exploiting well-known vulnerabilities of IoT devices. Existing detection solutions provide good performance

Metrics

Views

73 since deposited on 2024-02-15
Acq. date: 2025-11-12

Additional indexing

Creators (Authors)

Event Title

Event Title

Event Title
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium

Event Location

Event Location

Event Location
Miami

Event Country

Event Country

Event Country
FL, USA

Event Start Date

Event Start Date

Event Start Date
2023-05-08

Event End Date

Event End Date

Event End Date
2023-05-12

Page range/Item number

Page range/Item number

Page range/Item number
10154392

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Date available

Date available

Date available
2024-02-15

Series Name

Series Name

Series Name
Proceedings of the IEEE/IFIP Network Operations and Management Symposium

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1542-1201

ISBN or e-ISBN

ISBN or e-ISBN

ISBN or e-ISBN
978-1-6654-7716-1

OA Status

OA Status

OA Status
Closed

Metrics

Views

73 since deposited on 2024-02-15
Acq. date: 2025-11-12

Citations

Citation copied

Celdrán, A. H., von der Assen, J., Moser, K., Sánchez Sánchez, P. M., Bovet, G., Martínez Pérez, G., & Stiller, B. (2023). Early Detection of Cryptojacker Malicious Behaviors on IoT Crowdsensing Devices. Proceedings of the IEEE/IFIP Network Operations and Management Symposium, 10154392. https://doi.org/10.1109/noms56928.2023.10154392

Closed
Loading...
Thumbnail Image

Files

Files

Files
Files available to download:1

Files

Files

Files
Files available to download:1
Loading...
Thumbnail Image