Ensuring Feedback Data Privacy in the Context of Developing Countries

Tahsina Hashem, Tanzima Hashem, Anindya Iqbal
Protecting user privacy has become an important research problem in recent years. We introduce the first approach for collecting feedback and opinions from workers about the poor workplace condition in a privacy preserving manner and empower them at their workplaces. In our system, a worker's feedback remains hidden in an aggregate form but at the end the actual scenario of the workplace could be revealed. Thus, our system protects workers from facing troubles and losing jobs for sharing their sufferings to the public. On the other hand, the revealed feedback can motivate the management authority to improve the quality of their workplaces in the fear of losing trust and reputation. We propose two techniques: in one technique, workers in cooperation with the server hide their individual feedback from other and in other technique, workers protect their privacy in a crowdsourced manner. We show a comparative analysis of our techniques with experiments.