| Title | Temporal Analytics for Predictive Cyber Threat Intelligence |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Truvé, Staffan |
| Conference Name | Proceedings of the 25th International Conference Companion on World Wide Web |
| Publisher | International World Wide Web Conferences Steering Committee |
| Conference Location | Republic and Canton of Geneva, Switzerland |
| ISBN Number | 978-1-4503-4144-8 |
| Keywords | cyber security, dark web, Human Behavior, human factors, predictions, pubcrawl, web intelligence |
| Abstract | Recorded Future has developed its Temporal Analytics Engine as a general purpose platform for harvesting and analyzing unstructured text from the open, deep, and dark web, and for transforming that content into a structured representation suitable for different analyses. In this paper we present some of the key components of our system, and show how it has been adapted to the increasingly important domain of cyber threat intelligence. We also describe how our data can be used for predictive analytics, e.g. to predict the likelihood of a product vulnerability being exploited or to assess the maliciousness of an IP address. |
| URL | https://doi.org/10.1145/2872518.2889294 |
| DOI | 10.1145/2872518.2889294 |
| Citation Key | truve_temporal_2016 |
Temporal Analytics for Predictive Cyber Threat Intelligence