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Cited by 313

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

Cyber threat intelligence sharing: Survey and research directions

Wagner, Thomas D., Mahbub, Khaled, Palomar, Esther, Abdallah, Ali E.·2019·Computers & Security

Abstract

Abstract Cyber Threat Intelligence (CTI) sharing has become a novel weapon in the arsenal of cyber defenders to proactively mitigate increasing cyber attacks. Automating the process of CTI sharing, and even the basic consumption, has raised new challenges for researchers and practitioners. This extensive literature survey explores the current state-of-the-art and approaches different problem areas of interest pertaining to the larger field of sharing cyber threat intelligence. The motivation for this research stems from the recent emergence of sharing cyber threat intelligence and the involved challenges of automating its processes. This work comprises a considerable amount of articles from academic and gray literature, and focuses on technical and non-technical challenges. Moreover, the findings reveal which topics were widely discussed, and hence considered relevant by the authors and cyber threat intelligence sharing communities.

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Metadata

Authors
Wagner, T. D., Mahbub, K., Palomar, E., & Abdallah, A. E.
Venue
Computers & Security
Publisher
Elsevier BV
Published
2019-11
Volume
87
Pages
101589
ISSN
0167-4048 (ISSN-L)
OpenAlex
W2964522977
Cited by
313
References
58
FWCI
24.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cyber threat intelligence sharing: Survey and research directions. https://app.cochat.ai/papers/10.1016/j.cose.2019.101589
The paper
Wagner, T. D., Mahbub, K., Palomar, E., & Abdallah, A. E. (2019). Cyber threat intelligence sharing: Survey and research directions. Computers & Security. https://doi.org/10.1016/j.cose.2019.101589

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.