Name
Abstract | ||
|---|---|---|
Browsing privacy solutions are faced with an uphill battle to deployment. Many operate counter to the economic objectives of popular online services (e.g., by completely blocking ads) and do not provide enough incentive for users who may be subject to performance degradation for deploying them. In this study, we take a step towards realizing a system for online privacy that is mutually beneficial to users and online advertisers: an information market. This system not only maintains economic viability for online services, but provides users with financial compensation to encourage them to participate. We prototype and evaluate an information market that provides privacy and revenue to users while preserving and sometimes improving their Web performance. We evaluate feasibility of the market via a one month field study with 63 users and find that users are indeed willing to sell their browsing information. We also use Web traces of millions of users to drive a simulation study to evaluate the system at scale. We find that the system can indeed be profitable to both users and online advertisers.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3308897.3308907 | ACM SIGMETRICS Performance Evaluation Review |
Keywords | DocType | Volume |
browsing privacy, information market | Journal | abs/1810.02318 |
Issue | Citations | PageRank |
3 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arash Molavi Kakhki | 1 | 62 | 4.89 |
| Vijay Erramilli | 2 | 0 | 0.34 |
| Phillipa Gill | 3 | 1504 | 114.56 |
| Augustin Chaintreau | 4 | 2086 | 116.37 |
| Krishnamurthy, Balachander | 5 | 3675 | 503.69 |