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Y. Pachedzhiev
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Hospitals produce vast amounts of medical device data, making their protection and analysis crucial in Cyber Threat Intelligence (CTI) settings. MedTech Chain 1.0 allowed cybersecurity researchers to run queries for data analytics. Even if the platform applied differential privacy, data storage was in plaintext and certain analysis capabilities were still missing. To address these limitations, we propose MedTech Chain 2.0, a platform that integrates homomorphic encryption, and enhanced mechanisms for encryption key management, and expanded query support. These improvements strengthen data protection while enabling deeper insights, advancing in cybersecurity and CTI research.
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Hospitals produce vast amounts of medical device data, making their protection and analysis crucial in Cyber Threat Intelligence (CTI) settings. MedTech Chain 1.0 allowed cybersecurity researchers to run queries for data analytics. Even if the platform applied differential privacy, data storage was in plaintext and certain analysis capabilities were still missing. To address these limitations, we propose MedTech Chain 2.0, a platform that integrates homomorphic encryption, and enhanced mechanisms for encryption key management, and expanded query support. These improvements strengthen data protection while enabling deeper insights, advancing in cybersecurity and CTI research.