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The intersection of Blockchain and Malware: A Comprehensive Review and Analysis

Year 2023, Volume: 9 Issue: 4, 58 - 69, 31.12.2023

Abstract

Blockchain, as a type of distributed ledger technology, emerged as a reliable and transparent mechanism. Its key features are immutability, cryptographic encryption, auditability, and traceability. Blockchain technology, which started with the leadership of the financial sector, has spread to different sectors such as health, supply chain, real estate, law, and information security. Blockchain, integrated with technologies such as Industry 4.0, Internet of Things, Machine Learning and Artificial Intelligence, has caused both progress and challenges in the field of cybersecurity. Malicious actors produce and distribute blockchain-based malware using Industry 4.0 tools. This research contributes to one main issue: Examining current and advanced malware for blockchain systems and detection. In conclusion, this research highlights the critical importance of understanding the interaction between blockchain and malware. Revealing the emerging risks and challenges in this field, this study aims to equip researchers and cybersecurity practitioners with valuable knowledge to strengthen blockchain networks and effectively combat malicious threats.

Project Number

7373

References

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Blokzincir ve Kötü Amaçlı Yazılımların Kesişimi: Kapsamlı Bir İnceleme ve Analiz

Year 2023, Volume: 9 Issue: 4, 58 - 69, 31.12.2023

Abstract

Blokzincir, dağıtık defter teknolojisinin bir türü olarak, güvenilir ve şeffaf bir mekanizma olarak ortaya çıkmıştır. Temel özellikleri değişmezlik, kriptografik şifreleme, denetlenebilirlik ve izlenebilirliktir. Finans sektörünün öncülüğünde başlayan blokzincir teknolojisi, sağlık, tedarik zinciri, emlak, hukuk ve bilgi güvenliği gibi farklı sektörlere yayılmıştır. Endüstri 4.0, Nesnelerin İnterneti, Makine Öğrenmesi ve Yapay Zekâ gibi teknolojilerle entegre edilen blokzincir, siber güvenlik alanında hem ilerlemeye hem de zorluklara neden olmuştur. Kötü niyetli aktörler, Endüstri 4.0 araçlarını kullanarak blokzincir tabanlı kötücül yazılımlar üretmekte ve dağıtmaktadır. Bu araştırma, üç ana konuda katkı sağlamaktadır: Blokzincir sistemlerine yönelik güncel ve ileri düzeydeki kötücül yazılımların incelenmesi ve tespiti. Sonuç olarak, bu araştırma blokzincir ve kötücül yazılımlar arasındaki etkileşimi anlamanın kritik önemini vurgulamaktadır. Bu alanda ortaya çıkan riskleri ve zorlukları ortaya çıkaran bu çalışma, araştırmacıları ve siber güvenlik uygulayıcılarını blokzincir ağlarını güçlendirmek ve kötü niyetli tehditlerle etkili bir şekilde mücadele etmek için değerli bilgilerle donatmayı amaçlamaktadır.

Supporting Institution

Gazi Üniversitesi

Project Number

7373

Thanks

Bu makale kapsamındaki çalışma Gazi Ü. Bilimsel Araştırmalar Projesi 7373 no.lu proje kapsamında desteklenmektedir.

References

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  • [3] M. A. Zook and J. Blankenship, "New spaces of disruption? The failures of Bitcoin and the rhetorical power of algorithmic governance", Geoforum, vol. 96, pp. 248–255, November 2018. doi:10.1016/j.geoforum.2018.08.023
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  • [6] M. Javaid, A. Haleem, R. Pratap Singh, S. Khan, and R. Suman, "Blockchain technology applications for Industry 4.0: A literature-based review", Blockchain: Research and Applications, vol. 2, no. 4, pp. 100027, December 2021. doi:10.1016/j.bcra.2021.100027
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  • [19] D. Carlin, P. O’Kane, S. Sezer and J. Burgess, "Detecting Cryptomining Using Dynamic Analysis" 2018 16th Annual Conference on Privacy, Security and Trust (PST), Belfast, Ireland, 2018, pp. 1-6. doi:10.1109/PST.2018.8514167.
  • [20] A. Kharraz, Z. Ma, P. Murley, C. Lever, J. Mason, A. Miller, N. Borisov, M. Antonakakis, M. Bailey, "Outguard: Detecting in-browser covert cryptocurrency mining in the wild" in: The World Wide Web Conference, WWW ’19, Association for Computing Machinery, New York, NY, USA, 2019, p. 840–852. doi:10.1145/3308558.3313665. doi:10.1145/3308558.3313665.
  • [21] W. Bian, W. Meng, M. Zhang, "MineThrottle: Defending against Wasm In-Browser Cryptojacking", Association for Computing Machinery, New York, NY, USA, 2020, p. 3112–3118. doi:10.1145/3366423.3380085
  • [22] F. Naseem, A. Aris, L. Babun, E. Tekiner, S. Uluagac, "Minos: A lightweight real-time cryptojacking detection system" in: 28th Annual Network and Distributed System Security Symposium, NDSS, 2021. doi:10.14722/ndss.2021.24444
  • [23] F. Tommasi, C. Catalano, U. Corvaglia, I. Taurino, "Mineralert: an hybrid approach for web mining detection", Journal of Computer Virology and Hacking Techniques, March 2021. doi:10.1007/s11416-022-00420-7.
  • [24] A. Hernandez-Suarez, G. Sanchez-Perez, L.K. Toscano-Medina, J. Olivares-Mercado, J. Portillo-Portilo, J. Avalos and L.J. García Villalba, "Detecting Cryptojacking Web Threats: An Approach with Autoencoders and Deep Dense Neural Networks", Applied Sciences, vol. 12, no. 7, 2022. doi:10.3390/app12073234
  • [25] A. Zareh and H. R. Shahriari, "Botcointrap: Detection of bitcoin miner botnet using host based approach", in: 2018 15th Inter-national ISC (Iranian Society of Cryptology) Conference on Information Security and Cryptology (ISCISC), 2018, pp. 1–6. doi:10.1109/ISCISC.2018.8546867.
  • [26] S. Soviany, A. Scheianu, G. Suciu, A. Vulpe, O. Fratu and C. Istrate, "Android malware detection and crypto-mining recognition methodology with machine learning", in: 2018 IEEE 16th International Conference on Embedded and Ubiquitous Computing (EUC), 2018, pp. 14–21. doi:10.1109/EUC.2018.00010
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  • [29] V. Veselý and M. Žádník, "How to detect cryptocurrency miners? By traffic forensics!", Digital Investigation, vol. 31, p. 100884, 2019. doi: 10.1016/j.diin.2019.08.002
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There are 47 citations in total.

Details

Primary Language Turkish
Subjects Computer Software, Software Engineering (Other)
Journal Section Research Articles
Authors

Egemen Taşkın 0000-0001-8241-2145

İbrahim Alper Doğru 0000-0001-9324-7157

Project Number 7373
Publication Date December 31, 2023
Submission Date November 17, 2023
Acceptance Date December 23, 2023
Published in Issue Year 2023 Volume: 9 Issue: 4

Cite

IEEE E. Taşkın and İ. A. Doğru, “Blokzincir ve Kötü Amaçlı Yazılımların Kesişimi: Kapsamlı Bir İnceleme ve Analiz”, GJES, vol. 9, no. 4, pp. 58–69, 2023.

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