Abstract

The privacy is primary requirement of growing technology. Maintaining Isolation over sensitive data in public environment is a big challenging task. It becomes more complex when data set becomes very large and number of users reaches to huge figure. Access Control principle help to classify the users according to rights and permission. Integration of Access Control model Hadoop Map Reduce is proposed to achieve privacy over sensitive data. Recommender systems have made significant utility in daily routing life. Attribute based Recommendation system help to explore targeted audience for advertisement industry. This paper has made a survey to gather various information about big data analytics and its importance. It also attempts to explore the concern for privacy issues in recommendation process. Jitendra Soni | Imran Uddin"Privacy in Advertisement Services using Big Data: A Survey" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2287.pdf http://www.ijtsrd.com/computer-science/computer-security/2287/privacy-in-advertisement-services-using-big-data-a-survey/jitendra-soni

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