Exploiting Cryptocurrency Miners with OISNT Techniques

Kilic, Seyfullah

doi:10.14738/tnc.56.4083

Cited by 6 publications

(4 citation statements)

References 21 publications

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“…Over time, the term became conspicuous for national security and law enforcement agencies (Gruters & Gruters, 2018; Kalpakis et al, 2016; Ziolkowska, 2018). In the present scenario, it has become a valuable asset in the fields of education (Kim et al, 2013), transportation (Bojan et al, 2015), government applications (S. Agarwal, 2017), cryptocurrency (Sari & Kilic, 2017), health (Bernard et al, 2018), and cybersecurity Kalpakis et al,. The nature of data for each of these fields is different.…”

Section: Workflow For Osint Extractionmentioning

confidence: 99%

Open source intelligence extraction for terrorism‐related information: A review

Chaudhary

Bansal

2022

WIREs Data Min & Knowl

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In this contemporary era, where a large part of the world population is deluged by extensive use of the internet and social media, terrorists have found it a potential opportunity to execute their vicious plans. They have got a befitting medium to reach out to their targets to spread propaganda, disseminate training content, operate virtually, and further their goals. To restrain such activities, information over the internet in context of terrorism needs to be analyzed to channel it to appropriate measures in combating terrorism. Open Source Intelligence (OSINT) accounts for a felicitous solution to this problem, which is an emerging discipline of leveraging publicly accessible sources of information over the internet by effectively utilizing it to extract intelligence. The process of OSINT extraction is broadly observed to be in three phases (i) Data Acquisition, (ii) Data Enrichment, and (iii) Knowledge Inference. In the context of terrorism, researchers have given noticeable contributions in compliance with these three phases. However, a comprehensive review that delineates these research contributions into an integrated workflow of intelligence extraction has not been found. The paper presents the most current review in OSINT, reflecting how the various state‐of‐the‐art tools and techniques can be applied in extracting terrorism‐related textual information from publicly accessible sources. Various data mining and text analysis‐based techniques, that is, natural language processing, machine learning, and deep learning have been reviewed to extract and evaluate textual data. Additionally, towards the end of the paper, we discuss challenges and gaps observed in different phases of OSINT extraction. This article is categorized under: Application Areas > Government and Public Sector Commercial, Legal, and Ethical Issues > Social Considerations Fundamental Concepts of Data and Knowledge > Motivation and Emergence of Data Mining

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Section: Workflow For Osint Extractionmentioning

confidence: 99%

Open source intelligence extraction for terrorism‐related information: A review

Chaudhary

Bansal

2022

WIREs Data Min & Knowl

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“…A lot of applications of this distributed technology have developed in different countries to improve publicly provided government services [24].…”

Section: Usage Of Blockchain Over Existing Systemsmentioning

confidence: 99%

Generation Analysis of Blockchain Technology: Bitcoin and Ethereum

Anwar¹,

Anayat²,

Butt³

et al. 2020

IJIEEB

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In this paper, the importance of blockchain technology have been discussed and the generations of blockchain (Bitcoin and Ethereum) have been compared provided different aspects. The blockchain is a technology which allows direct transaction without involving third party. Also, it offers many facilities like high translucency, high safety and security, improved trace-ability, greater proficient and transactions' speed, and reduced costs. Moreover, the cryptocurrencies provide advance security level. The basic purpose of this study is to highlight different aspects of Blockchain, Bitcoin and Ethereum and to show which cryptocurrency is better approach. The research contributes to show the impact of this technology in different fields and a comparison of bitcoin and ethereum is presented to analyze and furnish a decision regarding the best among them.The use of blochchain technology in government applications can bring a drastic change in the world because it is safer and faster. Also, the comparison shows that ethereum is better than bitcoin as it is efficient and has more applications as compared to bitcoin. It offers more advanced services such as smart contracts. All in all, the analysis has concluded with Ethereum as faster and securer approach.

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“…Bartino and Nayeem [61] highlighted worms in IoT devices that hijacked them for mining purposes, pointing to the infamous Linux.Darlloz worm that hijacked devices running Linux on Intelx86 chip architecture for mining. Sari and Kilik [62], used Open Source Intelligence (OSINT) to study vulnerabilities in mining pools with the Mirai botnet as a case study.…”

Section: Related Workmentioning

confidence: 99%

Dine and Dash: Static, Dynamic, and Economic Analysis of In-Browser Cryptojacking

Saad

Khormali

Mohaisen

2019

2019 APWG Symposium on Electronic Crime Research (eCrime)

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Cryptojacking is the permissionless use of a target device to covertly mine cryptocurrencies. With cryptojacking, attackers use malicious JavaScript codes to force web browsers into solving proof-of-work puzzles, thus making money by exploiting the resources of the website visitors. To understand and counter such attacks, we systematically analyze the static, dynamic, and economic aspects of in-browser cryptojacking. For static analysis, we perform content, currency, and code-based categorization of cryptojacking samples to 1) measure their distribution across websites, 2) highlight their platform affinities, and 3) study their code complexities. We apply machine learning techniques to distinguish cryptojacking scripts from benign and malicious JavaScript samples with 100% accuracy. For dynamic analysis, we analyze the effect of cryptojacking on critical system resources, such as CPU and battery usage. We also perform web browser fingerprinting to analyze the information exchange between the victim node and the dropzone cryptojacking server. We also build an analytical model to empirically evaluate the feasibility of cryptojacking as an alternative to online advertisement. Our results show a sizeable negative profit and loss gap, indicating that the model is economically infeasible. Finally, leveraging insights from our analyses, we build countermeasures for in-browser cryptojacking that improve the existing remedies.

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Exploiting Cryptocurrency Miners with OISNT Techniques

Cited by 6 publications

References 21 publications

Open source intelligence extraction for terrorism‐related information: A review

Open source intelligence extraction for terrorism‐related information: A review

Generation Analysis of Blockchain Technology: Bitcoin and Ethereum

Dine and Dash: Static, Dynamic, and Economic Analysis of In-Browser Cryptojacking

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