Name
Abstract | ||
|---|---|---|
In both the commercial and defense sectors a compelling need is emerging for rapid, yet secure, dissemination of information. In this paper we address the threat of information leakage that often accompanies such information flows. We focus on domains with one information source (sender) and many information sinks (recipients) where: (i) sharing is mutually beneficial for the sender and the recipients, (ii) leaking a shared information is beneficial to the recipients but undesirable to the sender, and (iii) information sharing decisions of the sender are determined using imperfect monitoring of the (un)intended information leakage by the recipients. We make two key contributions in this context: First, we formulate data leakage prevention problems as Partially Observable Markov Decision Processes; we show how to encode one sample monitoring mechanism---digital watermarking---into our model. Second, we derive optimal information sharing strategies for the sender and optimal information leakage strategies for a rational-malicious recipient as a function of the efficacy of the monitoring mechanism. We believe that our approach offers a first of a kind solution for addressing complex information sharing problems under uncertainty. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/SocialCom.2010.119 | SocialCom/PASSAT |
Keywords | Field | DocType |
decision theoretic approach,optimal information leakage strategy,optimal information,intended information leakage,data leakage prevention problem,information source,data leakage prevention,complex information,information flow,shared information,information sink,information leakage,accuracy,watermarking,partially observable markov decision process,decision theory,digital watermarking,digital watermark,markov processes,organizations | Data mining,Internet privacy,Information leakage,Partially observable Markov decision process,Computer security,Computer science,Communication source,Markov decision process,Dissemination,Decision theory,Information Dissemination,Information sharing | Conference |
ISBN | Citations | PageRank |
978-0-7695-4211-9 | 2 | 0.39 |
References | Authors | |
15 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Janusz Marecki | 1 | 685 | 49.06 |
| Mudhakar Srivatsa | 2 | 1084 | 77.97 |
| Pradeep Varakantham | 3 | 648 | 63.05 |