DocumentCode
3233997
Title
Privacy Principles for Sharing Cyber Security Data
Author
Fisk, Gina ; Ardi, Calvin ; Pickett, Neale ; Heidemann, John ; Fisk, Mike ; Papadopoulos, Christos
Author_Institution
Los Alamos Nat. Lab., Los Alamos, NM, USA
fYear
2015
fDate
21-22 May 2015
Firstpage
193
Lastpage
197
Abstract
Sharing cyber security data across organizational boundaries brings both privacy risks in the exposure of personal information and data, and organizational risk in disclosing internal information. These risks occur as information leaks in network traffic or logs, and also in queries made across organizations. They are also complicated by the trade-offs in privacy preservation and utility present in anonymization to manage disclosure. In this paper, we define three principles that guide sharing security information across organizations: Least Disclosure, Qualitative Evaluation, and Forward Progress. We then discuss engineering approaches that apply these principles to a distributed security system. Application of these principles can reduce the risk of data exposure and help manage trust requirements for data sharing, helping to meet our goal of balancing privacy, organizational risk, and the ability to better respond to security with shared information.
Keywords
business data processing; data privacy; organisational aspects; query processing; risk management; security of data; trusted computing; cyber security data sharing; data exposure; distributed security system; engineering approaches; forward progress; internal information; least disclosure; network traffic; organizational boundaries; organizational risk; personal information exposure; privacy balancing; privacy preservation; privacy principles; privacy risks; qualitative evaluation; queries; security information; trust requirements; Computer security; Data privacy; Distributed databases; Law; Organizations; Privacy; cyber security; data confinement; data sharing; forward progress; least disclosure; minimal requisite fidelity; moderated queries; poker queries; privacy principles; qualitative evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Security and Privacy Workshops (SPW), 2015 IEEE
Conference_Location
San Jose, CA
Type
conf
DOI
10.1109/SPW.2015.23
Filename
7163225
Link To Document