Illicitly hijacking visitors’ computational resources for mining cryptocurrency via compromised websites is a consolidated activity.Previous works mainly focused on large-scale analysis of the cryptojacking ecosystem, technical means to detect browser-based mining as well as economic incentives of cryptojacking. So far, no one has studied if certain technical characteristics of a website can increase (decrease) the likelihood of being compromised for cryptojacking campaigns.In this paper, we propose to address this unanswered question by conducting a case-control study with cryptojacking websites obtained crawling the web using Minesweeper. Our preliminary analysis shows some association for certain website characteristics, however, the results obtained are not statistically significant. Thus, more data must be collected and further analysis must be conducted to obtain a better insight into the impact of these relations.

Are You a Favorite Target For Cryptojacking? A Case-Control Study On The Cryptojacking Ecosystem / Di Tizio, Giorgio; Nam Ngo, Chan. - ELETTRONICO. - (2020), pp. 515-520. (Intervento presentato al convegno WACCO tenutosi a Virtual Event nel 7th September 2020) [10.1109/EuroSPW51379.2020.00075].

Are You a Favorite Target For Cryptojacking? A Case-Control Study On The Cryptojacking Ecosystem

Di Tizio, Giorgio;Nam Ngo, Chan
2020-01-01

Abstract

Illicitly hijacking visitors’ computational resources for mining cryptocurrency via compromised websites is a consolidated activity.Previous works mainly focused on large-scale analysis of the cryptojacking ecosystem, technical means to detect browser-based mining as well as economic incentives of cryptojacking. So far, no one has studied if certain technical characteristics of a website can increase (decrease) the likelihood of being compromised for cryptojacking campaigns.In this paper, we propose to address this unanswered question by conducting a case-control study with cryptojacking websites obtained crawling the web using Minesweeper. Our preliminary analysis shows some association for certain website characteristics, however, the results obtained are not statistically significant. Thus, more data must be collected and further analysis must be conducted to obtain a better insight into the impact of these relations.
2020
EUROS&PW 2020
Piscataway, NJ USA
IEEE Computer Society
978-1-7281-8597-2
Di Tizio, Giorgio; Nam Ngo, Chan
Are You a Favorite Target For Cryptojacking? A Case-Control Study On The Cryptojacking Ecosystem / Di Tizio, Giorgio; Nam Ngo, Chan. - ELETTRONICO. - (2020), pp. 515-520. (Intervento presentato al convegno WACCO tenutosi a Virtual Event nel 7th September 2020) [10.1109/EuroSPW51379.2020.00075].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/278351
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