Abstract

Access to current application and network data is vital to cybersecurity and networking research. Intrusion detection, steganography, traffic camouflaging, traffic classification and modeling all benefit from real-world data. Such data provides training, testing, and evaluation as well as furthers efforts to reach ground truth. Currently available network data--especially data with application-level information--is often outdated and is either private or customized to specific, narrow research needs. The biggest hurdle to obtaining such content-rich data is addressing the huge privacy risks associated with sharing such complex and open-ended data. In this paper we present a data sharing system called Critter-at-Home which addresses these challenges. Critter connects end-users willing to share data with researchers and strikes a balance between privacy risks for a data contributor and utility for a researcher.

Metadata

publication

Proceedings of the 2014 ACM Workshop on Information Sharing & Collaborative …, 2014

year

2014

publication date

2014/11/3

authors

Vinod Sharma, Genevieve Bartlett, Jelena Mirkovic

link

https://dl.acm.org/doi/abs/10.1145/2663876.2663886

resource_link

https://www.academia.edu/download/102429004/wiscs14-critter.pdf

book

Proceedings of the 2014 ACM Workshop on Information Sharing & Collaborative Security

pages

13-20