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Protecting Infrastructure Data via Enhanced Access Control, Blockchain and Differential Privacy

Abstract : Protecting critical infrastructure data is challenging because it typically includes sensitive information that is often needed by analysts to answer crucial questions about the critical infrastructure. For example, in the healthcare sector, epidemiologists need to analyze personally identifiable information to track the spread of diseases or regional emergency services managers may need to view details of all 911 calls made during a hurricane or terrorist incident. In other situations where personally identifying information is not needed to perform analyses, studies have shown that anonymization approaches such as k-anonymity or l-diversity cannot safeguard the information from inadvertent or malicious exposure. Additionally, recent data breaches involving critical infrastructure information demonstrate that current access control mechanisms, including role-based access control, are neither sufficient to secure the information nor adequate to prevent the ensuing loss of privacy. This chapter presents a novel approach that integrates existing access control mechanisms with blockchain and differential privacy to protect infrastructure data.
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Submitted on : Friday, March 22, 2019 - 9:29:33 AM
Last modification on : Friday, March 22, 2019 - 9:53:59 AM
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Asma Alnemari, Suchith Arodi, Valentina Sosa, Soni Pandey, Carol Romanowski, et al.. Protecting Infrastructure Data via Enhanced Access Control, Blockchain and Differential Privacy. 12th International Conference on Critical Infrastructure Protection (ICCIP), Mar 2018, Arlington, VA, United States. pp.113-125, ⟨10.1007/978-3-030-04537-1_7⟩. ⟨hal-02076303⟩



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