An Enhanced Privacy protection scheme for Profile-based personalized search
Anas El-Ansari · International Journal of Advanced Trends in Computer Science and Engineering · 2020
With the information overload on the Internet, intelligent personalized systems come to play a critical role by providing tailor-made services to the user based on his interests.An example that recently becomes popular is the personalized search systems, offering users personalized answers.One of the major issues these systems face is the lack of user's trust due to the lack of privacy protection.Giving the user a personalized browsing experience usually comes at the cost of his privacy.Thus, most people are afraid of using such applications.To address this issue in this work, we propose a trade-off scheme between the personalization quality and the privacy risk, to keep the latter under control.We have studied the assets and drawbacks of the existing profile-based personalized search systems in general, from a privacy protection perspective.Furthermore, we present a new model to protect the user's privacy on different levels, using homomorphic encryption to enhance data protection.