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Collaborative Data Analysis and Discovery for Cyber Security

Authors: 

Diane Staheli, Vincent Mancuso, Raul Harnasch, Cody Fulcher, Madeline Chmielinski, Adam Kearns, Stephen Kelly, and Era Vuksani, MIT Lincoln Laboratory

Abstract: 

In this paper, we present the Cyber Analyst Real-Time Integrated Notebook Application (CARINA). CARINA is a collaborative investigation system that aids in decision making by co-locating the analysis environment with centralized cyber data sources, and providing next generation analysts with increased visibility to the work of others. In current generation cyber work, tools limit analyst’s ability to collaborate, often relying on individual record keeping which hinders their ability to reflect on their own work and transition analytic insights to others. While online collaboration technologies have been shown to encourage and facilitate information sharing and group decision making in multiple contexts, no such technology exists today in cyber. Using visualization and annotation, CARINA leverages conversation and ad hoc thought to coordinate decisions across an organization. CARINA incorporates features designed to incentivize positive information-sharing behaviors, and provides a framework for incorporating recommendation engines and other analytics to guide analysts in the discovery of related data or analyses. In this paper, we present the user research that informed the development of CARINA, discuss the functionality of the system, and outline potential use cases. We also discuss future research trajectories and implications for cyber researchers and practitioners.

Diane Staheli, MIT Lincoln Laboratory

Vincent Mancuso, MIT Lincoln Laboratory

Raul Harnasch, MIT Lincoln Laboratory

Cody Fulcher, MIT Lincoln Laboratory

Madeline Chmielinski, MIT Lincoln Laboratory

Adam Kearns, MIT Lincoln Laboratory

Stephen Kelly, MIT Lincoln Laboratory

Era Vuksani, MIT Lincoln Laboratory

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BibTeX
@inproceedings {197856,
author = {Diane Staheli and Vincent Mancuso and Raul Harnasch and Cody Fulcher and Madeline Chmielinski and Adam Kearns and Stephen Kelly and Era Vuksani},
title = {Collaborative Data Analysis and Discovery for Cyber Security},
booktitle = {Twelfth Symposium on Usable Privacy and Security ({SOUPS} 2016)},
year = {2016},
address = {Denver, CO},
url = {https://www.usenix.org/conference/soups2016/workshop-program/wsiw16/presentation/staheli},
publisher = {{USENIX} Association},
month = jun,
}
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