Research.

Publications.

Book CHAPTERS

N. R. Nanavati and D. C. Jinwala, “Information-theoretically Secure Privacy Preserving Approaches for Collaborative Association Rule Mining” in Computer and Network Security Essentials, Springer, chapter 4, pp 65-78, aug 2017.

Articles in peer reviewed journals

N. R. Nanavati and D. C. Jinwala, “A Novel Privacy Preserving Scheme for Collaborative Frequent Itemset Mining Across Vertically Partitioned Data,” Security and Communication Networks, Wiley Online Library,vol. 8, no. 18, pp 4407-4420, dec 2015, indexed at Thomson Reuters and DBLP.

N. R. Nanavati, P. Lalwani, and D. C. Jinwala, “Novel Game Theoretic Privacy Preserving Construction for Rational and Malicious Secret Sharing Models for Collaborative Frequent Itemset Mining,” Under revision at International Journal of Knowledge Engineering and Data Mining, Inderscience, indexed at ACM DL, DBLP and INSPEC.

N. R. Nanavati, N. Sen, and D. C. Jinwala, “Analysis and Evaluation of Novel Privacy Preserving Techniques for Collaborative Temporal Association Rule Mining Using Secret Sharing ,” International Journal of Distributed Systems and Technologies (IJDST), IGI Global, vol. 5, no. 3, pp 58-76, oct 2014, indexed at ACM DL, INSPEC, SCOPUS and DBLP.

N. R. Nanavati, P. Lalwani, and D. C. Jinwala, “Analysis and Evaluation of Schemes for Secure Sum in Collaborative Frequent Itemset Mining across Horizontally Partitioned Data,” Journal of Engineering, Hindawi Publishing Corporation, Article ID 470416, vol. 2014, no. November, p. 10, nov 2014, indexed at INSPEC.

Publications in International Conference Proceedings

A. Agarwal and N. R. Nanavati, “Association rule mining using hybrid GA-PSO for multi-objective optimisation,” in International Conference on Computational Intelligence and Computing Research (ICCIC), Chennai, India, IEEE, dec 2016, pp. 241-247, indexed at IEEE Xplore. (Awarded the Best Paper in the corresponding track.)

N. R. Nanavati and D. C. Jinwala, “A Game Theory Based Repeated Rational Secret Sharing Scheme For Privacy Preserving Distributed Data Mining,” in International Conference on Security and Cryptography (SECRYPT), Rome, Italy, SciTePress, july 2013, pp. 512-517, indexed at DBLP.

N. R. Nanavati and D. C. Jinwala, “Privacy preserving approaches for global cycle detections for cyclic association rules in distributed databases,” in International Conference on Security and Cryptography (SECRYPT), Reykjavik, Iceland, SciTePress, july 2012, pp. 368-371, indexed at DBLP.

N. R. Nanavati and D. C. Jinwala, “Privacy preservation for global cyclic associations in distributed databases,” in International Conference on Communication, Computing & Security (ICCCS), Procedia Technology, Rourkela, Odisha, Elsevier, vol. 6, no. 0, pp. 962-969, oct 2012.

National Conferences/ Workshops/ Symposiums

N. R. Nanavati and D. C. Jinwala, “A novel privacy preserving game theoretic repeated rational secret sharing scheme for distributed data mining,” Security and Privacy Symposium, Organized by IIT Kanpur, IIIT Delhi and BITS Pilani – Hydrabad Campus at IIT Kanpur, feb 2013.

N. R. Nanavati and D. C. Jinwala, “Investigating Privacy Preserving Approaches For Collaborative Association Rule Mining,” Fourth IDRBT Doctoral Colloquium, Hyderabad, Institute for Development and Research in Banking Technology (IDRBT) (Established by Reserve bank of India), dec 2014.

N. R. Nanavati and D. C. Jinwala, “Investigating Privacy Preserving Approaches For Collaborative Association Rule Mining,” Inter Research Student Seminar in Computer Science(IRISS), Goa, ACM, feb 2015.