A RESEARCH ON- ANALYSIS BASED ON SVM FOR UNTRUSTED MOBILE CROWDSENSING

Abstract

Now-a-days the trend of Mobile crowdsensing, which collects environmental information from mobile
phone 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 the
participants of crowdsensing may be untrusted entities. Recent studies have proposed randomized response schemes for
anonymized data collection.This kind of data collection can analyze the sensing data of users statistically without
precise information about other users’ sensing results. In this proposed work, we use SVM classifier for classifying the
data can be used by companies for marketing surveys or decision making.