Saraswathi Punagin

Work place: Dept. of CSE, PESIT BSC, Bengaluru, 560100, India



Research Interests: Computational Science and Engineering, Computer systems and computational processes, Computer Architecture and Organization, Data Structures and Algorithms


Saraswathi Punagin is a graduate student at the Department of Computer Science and Engineering in PESIT, Bangalore South Campus. She has over 15 years of experience in the field of Information Technology and has worked in diverse industries such as healthcare, government, telecommunications and technical consulting. During her tenure she has worked in capacities of solutions developer, technical writer, data and business intelligence analyst, project manager as well as subject matter expert for various business and operational intelligence solutions. Her areas of interest include data privacy, big data analytics and data science.

Author Articles
Privacy in the age of Pervasive Internet and Big Data Analytics – Challenges and Opportunities

By Saraswathi Punagin Arti Arya

DOI:, Pub. Date: 8 Jul. 2015

In the age of pervasive internet where people are communicating, networking, buying, paying bills, managing their health and finances over the internet, where sensors and machines are tracking real-time information and communicating with each other, it is but natural that big data will be generated and analyzed for the purpose of “smart business” and “personalization”. Today storage is no longer a bottleneck and the benefit of analysis outweighs the cost of making user profiling omnipresent. However, this brings with it several privacy challenges – risk of privacy disclosure without consent, unsolicited advertising, unwanted exposure of sensitive information and unwarranted attention by malicious interests. We survey privacy risks associated with personalization in Web Search, Social Networking, Healthcare, Mobility, Wearable Technology and Internet of Things. The article reviews current privacy challenges, existing privacy preserving solutions and their limitations. We conclude with a discussion on future work in user controlled privacy preservation and selective personalization, particularly in the domain of search engines.

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