Name
Abstract | ||
|---|---|---|
Miniaturized smart sensors are increasingly being used to collect personal data which embed minute details of our everyday life. When shared, the data streams can easily be mined to draw a rich set of inferences regarding private behaviors and lifestyle patterns. Disclosure of some of these unintended inferences gives rise to the notion of behavioral privacy different from traditional identity privacy typically addressed in the literature. From the provider’s perspective, we summarize these privacy concerns into three basic questions: (i) Whom to share data with? (ii) How much data to share? and (iii) What data to share? |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.pmcj.2012.03.002 | Pervasive and Mobile Computing |
Keywords | DocType | Volume |
Behavioral privacy,Trust,Information sharing,Sensory data | Journal | 8 |
Issue | ISSN | Citations |
3 | 1574-1192 | 4 |
PageRank | References | Authors |
0.37 | 19 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Supriyo Chakraborty | 1 | 323 | 26.02 |
| Zainul Charbiwala | 2 | 150 | 12.93 |
| Haksoo Choi | 3 | 120 | 8.93 |
| Kasturi Rangan Raghavan | 4 | 47 | 3.44 |
| Mani Srivastava | 5 | 13052 | 1317.38 |