Sanjaikanth of University of North Dakota

Location-Based Services (LBS) offer mobile users access to amenities based on their current location, such as listing nearby McDonald’s outlets. To ensure these services remain relevant, effective filtering is essential, displaying only the nearest options and excluding irrelevant ones from distant locations, like showing Texas listings to users in North Dakota. Central to LBS is the requirement for users to share their location, raising concerns about data usage and privacy. Given the increasing focus on privacy, many users are reluctant to disclose their locations to access LBS benefits.
This presentation introduces innovative solutions to this privacy challenge, particularly the Private Proximity Testing (PPT) technique. PPT uses ElGamal encryption to secure data transmission, allowing users to protect their location information from LBS providers. At the same time, merchants can keep their service details private, ensuring comprehensive privacy protection for both users and merchants.

Presentation Outline:
1. What is LBS? - Definition and functionality of Location-Based Services.
2. Why is LBS Relevant? - Importance and benefits of LBS in modern technology.
3. Impact of LBS: - How LBS enhances user experience compared to its absence.
4. Challenges in Implementing LBS: Key difficulties in deploying and maintaining LBS.
5. Security Threats in LBS:Risks associated with using LBS and data sharing.
6.Safeguarding User Privacy: Methods to ensure secure communication and privacy for users.
7. Protecting Merchant Privacy:Techniques to maintain the confidentiality of merchant data.
8. What is Private Proximity Testing (PPT)?Explanation of the PPT technique and its benefits.
9. Utilizing PPT and ElGamal Encryption: How PPT combined with ElGamal encryption enhances privacy and security.
10. Current Research Trends in LBS: Latest developments and future directions in the field of LBS.

Biography:

Sanjaikanth E. Vadakkethil Somanathan Pillai, a Senior Member of IEEE, is a results-driven professional with over 19 years of extensive experience in research and technology. His research spans mobile networks, network security, privacy, location-based services, and misinformation detection. He coauthored the book "Routing Optimization for Wireless Sensor Networks: A Procedure for Energy Efficient Routing," collaborating with other leading academics in the field. Sanjaikanth has demonstrated significant leadership and expertise in academia, serving as a Technical Program Committee Member for various IEEE conferences and as an Editorial Review Board Member for esteemed international journals. He has also served as a keynote speaker and session chair at numerous international conferences.

Sanjaikanth holds multiple patents, including "Cyber Security Detecting and Alerting Device" and "AI Based Network Intrusion Detection Device." He is an Associate Editor at the International Journal of Artificial Intelligence in Scientific Disciplines (IJAISD) and the Journal of Information Technology Research (JITR), and he contributes to several other prestigious international scholarly journals. Additionally, he is an Editorial Review Board Member for the International Journal of Artificial Intelligence in Engineering Fields (IJAIEF).