A RESEARCH ON- ANALYSIS BASED ON SVM FOR UNTRUSTED MOBILE CROWDSENSING
| Author(s) | : | Yuga.R.Belkhode, DR.S.W.Mohod |
| Institution | : | Student,Computer Science and Engineering,Bapurao Deshmukh College of Engineering, India |
| Published In | : | Vol. 5, Issue 1 — January 2018 |
| Page No. | : | 337-347 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Now-a-days the trend of Mobile crowdsensing, which collects environmental information from mobilephone users, is need which is growing in popularity.However, collecting sensing data from other users may violate their privacy. Moreover, the data aggregator and/or theparticipants of crowdsensing may be untrusted entities. Recent studies have proposed randomized response schemes foranonymized data collection.This kind of data collection can analyze the sensing data of users statistically withoutprecise information about other users’ sensing results. In this proposed work, we use SVM classifier for classifying thedata can be used by companies for marketing surveys or decision making.
Yuga.R.Belkhode, DR.S.W.Mohod, “A RESEARCH ON- ANALYSIS BASED ON SVM FOR UNTRUSTED MOBILE CROWDSENSING”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 1, pp. 337-347, January 2018.
