Incentive Schemes for Privacy-Sensitive Consumers

Accepted manuscript

Open access

Peer reviewed

Chong Huang, Lalitha Sankar and Anand D. Sarwate

Lecture Notes in Computer Science, Vol.9406, pp.358-369

Decision and Game Theory for Security (London, UK, 11/2015)

11/2015

DOI:

https://doi.org/10.7282/T3VQ34ND

Abstract

Privacy

Markov decision processes

Retailer-consumer interaction

Optimal policies

pdf

GameSec_2015v5622.03 kBDownload View

Accepted Manuscript Open Access

url

http://dx.doi.org/10.1007/978-3-319-25594-1_21View

Lecture Notes in Computer Science

url

http://dx.doi.org/10.1007/978-3-319-25594-1View

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Title: Subtitle: Incentive Schemes for Privacy-Sensitive Consumers
Creators: Chong Huang (Author) - Arizona State University
Lalitha Sankar (Author) - Arizona State University
Anand D. Sarwate (Author) - Electrical and Computer Engineering, Rutgers University
Contributors: MHR Khouzani (null)
Emmanouil Panaousis (null)
George Theodorakopoulos (null)
Publication Details: Lecture Notes in Computer Science, Vol.9406, pp.358-369
Conference: Decision and Game Theory for Security (London, UK, 11/2015)
Date published: 11/2015
Publisher: Rutgers University
Grant note: National Science Foundation - CCF-1453432
Academic Unit: Electrical and Computer Engineering (SOE); Wireless Information Network Laboratory; School of Engineering
Language: English
Resource Type: Accepted manuscript
Comment: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-25594-1
Identifiers: 991031550138904646