Abstract
Cyber-attacks mean those attacks launched on online users who are not security conscious either by using a computer network (spamming, phishing, etc.) Or as a tool to engage in criminal activities (cyberstalking or inside man, etc.). Cyber-attacks are on the increase thereby making cybersecurity a challenging task in this digital age. The Healthcare industry, been one of the largest industry has been facing a lot of cyber-attacks challenges ranging from malware attacks, Distributed Denial-of-Service (DDoS) attacks, and so on thereby leading to identity theft, data manipulation from an unauthorized entity. Electronic healthcare records are sensitive information that contains patient's personal information like name medication histories, lab reports, payment details, contact and home address which have to be shared among healthcare providers need to be efficiently secured from attacks. But the standard cybersecurity platform which is currently used by the healthcare industry to preserve information has a lot of flaws thereby rendering medical records venerable to cyber-attack. To address this problem there is a need to change the standard cybersecurity platform on the healthcare industry to blockchain-based security, which is one of the best solutions to cyber-attacks. We have done an in-depth analysis of cyber-attacks in the context of four stages and types of cyber-attacks threats. Blockchain technology can transform the healthcare industry by engaging with its Hyperledger fabric technology which will guarantee optimal security against all sorts of cyber-attacks. This paper will highlight how blockchain will transform cyber-attacks on the healthcare industry and with the recommendation of blockchain technology as a solution to cyber-attacks
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Nwosu, A.U., Goyal, S.B., Bedi, P. (2021). Blockchain Transforming Cyber-Attacks: Healthcare Industry. In: Abraham, A., Sasaki, H., Rios, R., Gandhi, N., Singh, U., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2020. Advances in Intelligent Systems and Computing, vol 1372. Springer, Cham. https://doi.org/10.1007/978-3-030-73603-3_24
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