Tools
ToolsMavzer, K.B., Konieczna, E., Alves, H., Yucel, C., Chalkias, I., Mallis, D., Cetinkaya, D. and Sanchez, L.A.G., 2021. Trust and quality computation for cyber threat intelligence sharing platforms. In: 2021 IEEE International Conference on Cyber Security and Resilience (CSR), 26-28 July 2021, Rhodes, Greece, 360 - 365.
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DOI: 10.1109/CSR51186.2021.9527975
Abstract
Information sharing has been considered a critical solution against the ever-increasing complexity of cyber-attacks. In this effort Cyber Threat Intelligence is undergoing a process of increasing its maturity levels. The quantification of the quality of shared information and the assessment of trust amongst information sharing entities is an important part of the process. The Trust and Quality Tool has been designed as a tool with the aim of improving the trust in the relevancy of shared information by enabling an option to assess its trustworthiness and defining a set of metrics for trust and quality.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Trust in Cyber Threat Intelligence; Cyber Threat Intelligence Quality; Information Sharing; Measurement; Conferences; Tools; Information management; Complexity theory; Computer crime; Resilience |
| Group: | Faculty of Science & Technology |
| ID Code: | 36104 |
| Deposited By: | Symplectic RT2 |
| Deposited On: | 13 Oct 2021 14:09 |
| Last Modified: | 14 Mar 2022 14:29 |
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