| dc.contributor.advisor | Reynolds, Taylor | |
| dc.contributor.advisor | Weitzner, Daniel J. | |
| dc.contributor.author | Conard, Chelsea Foushee | |
| dc.date.accessioned | 2024-10-02T17:32:04Z | |
| dc.date.available | 2024-10-02T17:32:04Z | |
| dc.date.issued | 2024-09 | |
| dc.date.submitted | 2024-09-16T19:32:15.163Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/157124 | |
| dc.description.abstract | In the field of cybersecurity, the lack of standardized data collection and incident reporting
methods pose significant challenges to address and respond to incidents affecting critical
infrastructure. Various initiatives aim to resolve this issue by mandating the collection of
data on cyber incidents; however, there is often a lack of clear guidelines on how the collected
data will be utilized effectively.
This paper introduces the Cyber Incident Severity Scale (CISS), a framework designed
to guide the selection of relevant data for analysis and communicate the severity of a cybersecurity incident. By drawing insights from established scales in other fields, such as
natural disasters and public health, this research produces a single score for a reporting
entity which can be aggregated to determine the overall severity of an incident. The ability
to swiftly assess and score an incident is a critical tool to quantify incident severity and
prioritize response, support policy development, and bolster the overall security of critical
infrastructure. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | |
| dc.rights | Copyright retained by author(s) | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.title | Quantifying the Severity of a Cybersecurity Incident for Incident Reporting | |
| dc.type | Thesis | |
| dc.description.degree | S.M. | |
| dc.contributor.department | Massachusetts Institute of Technology. Institute for Data, Systems, and Society | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Science in Technology and Policy | |