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Enabling Privacy-preserving Sharing of Cyber Threat Information in the Cloud

Fan, Wenjun (2019) Enabling Privacy-preserving Sharing of Cyber Threat Information in the Cloud. In: 2019 6th IEEE International Conference on Cyber Security and Cloud Computing. . (In press) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Abstract

Network threats often come from multiple sources and affect a variety of domains. Collaborative sharing and analysis of Cyber Threat Information (CTI) can greatly improve the prediction and prevention of cyber-attacks. However, CTI data containing sensitive and confidential information can cause privacy exposure and disclose security risks, which will deter organisations from sharing their CTI data. To address these concerns, the consortium of the EU H2020 project entitled Collaborative and Confidential Information Sharing and Analysis for Cyber Protection (C3ISP) has designed and implemented a framework (i.e. C3ISP Framework) as a service for cyber threat management. This paper focuses on the design and development of an API Gateway, which provides a bridge between end-users and their data sources, and the C3ISP Framework. It facilitates end-users to retrieve their CTI data, regulate data sharing agreements in order to sanitise the data, share the data with privacy-preserving means, and invoke collaborative analysis for attack prediction and prevention. In this paper, we report on the implementation of the API Gateway and experiments performed. The results of these experiments show the efficiency of our gateway design, and the benefits for the end-users who use it to access the C3ISP Framework.

Item Type: Conference or workshop item (Paper)
Projects: [UNSPECIFIED] EU H2020 C3ISP
Uncontrolled keywords: Cyber Threat Information; Privacy Preserving; Data Sharing; Collaborative Analysis; API Gateway
Divisions: Faculties > Sciences > School of Computing
Depositing User: Wenjun Fan
Date Deposited: 24 Jun 2019 12:02 UTC
Last Modified: 01 Aug 2019 10:44 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/74547 (The current URI for this page, for reference purposes)
Fan, Wenjun: https://orcid.org/0000-0002-7363-9695
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