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
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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Cites
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Cited by
Himeur, Y., Sohail, S. S., Bensaali, F., Amira, A., & Alazab, M. (2022) · Computers & Security · doi:10.1016/j.cose.2022.102746 · Cited by 139
Evolving techniques in cyber threat hunting: A systematic review
Mahboubi, A., Luong, K., Aboutorab, H., Bui, H. T., Jarrad, G., Bahutair, M., Camtepe, S., Pogrebna, G., Ahmed, E., Barry, B., et al. (2024) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2024.104004 · Cited by 94
Uche James, U., Idika, C. N., & Anebi Enyejo, L. (2023) · International Journal of Scientific Research in Computer Science, Engineering and Information Technology · doi:10.32628/cseit23564522 · Cited by 29
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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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.