Title
Qoi: Assessing Participation In Threat Information Sharing
Keywords
QoI; Sharing; Threat intelligence
Abstract
We introduce the notion of Quality of Indicator (QoI) to assess the level of contribution by participants in threat intelligence sharing. We exemplify QoI by metrics of the correctness, relevance, utility, and uniqueness of indicators. We build a system that extrapolates the metrics using a machine learning process over a reference set of indicators. We compared these results against a model that only considers the volume of information as a metric for contribution, and unveiled various observations, including the ability to spot low-quality contributions that are synonymous to free-riding.
Publication Date
9-10-2018
Publication Title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume
2018-April
Number of Pages
6951-6955
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICASSP.2018.8462036
Copyright Status
Unknown
Socpus ID
85054275994 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85054275994
STARS Citation
Park, Jemon; Alasmary, Hisham; Al-Ibrahim, Omar; Kamhoua, Charlies; and Kwiat, Kevin, "Qoi: Assessing Participation In Threat Information Sharing" (2018). Scopus Export 2015-2019. 10529.
https://stars.library.ucf.edu/scopus2015/10529