A privacy-preserving approach to secure location-based data

Abstract

There are number of sites that provide location-based services. Those sites use current location of user through the web applications or from the Wi-Fi devices. Sometimes, these sites will get permission to the user private information and resource on the web. These sites access user data without providing clear detail policies and disclosure of strategies. This will be used by the malicious sites or server or adversaries breaches the sensitive data and confidentiality of the user. User shares original context of the location. An adversary learns through the user’s original context. Due to the lack of secure privacy-preserving policies, it has shifted them to specific goals for various hazards. In order to secure or preserve privacy of user, new privacy-preserving technique called FakeIt is proposed. In FakeIt, system works around privacy, security to satisfy privacy requirements and the user decides context before sharing. If the current location context is sensitive to the user, then user decides to share the fake location context to location-based services instead of original. System restricts the adversaries to learn from the shared sensitive location context of the user.