Paolo Gasti’s research focuses on behavioral biometrics, privacy-preserving biometric authentication and identification, secure multi-party protocols, and network security. His recent work includes protocols for secure genomic computation, document similarity, document caching. and distributed denial-of-service detection and prevention in future internet architectures. He served as a member of the NDN project, which is a National Science Foundation-sponsored initiative with the goal of designing a new network architecture that will eventually replace the current internet. His work has been featured in articles in the New Scientist and MIT Technological Review. Gasti worked as a research scholar at University of California, Irvine and received a Fulbright scholarship, under which he visited Johns Hopkins University. He received his Ph.D. in computer science from University of Genoa, Italy, and his research pertained to the design of cryptographic schemes and network security.

Paolo Gasti describes his work in cybersecurity.

Paolo Gasti describes his work in cybersecurity.

Recent Projects/Research

  • Privacy-preserving active authentication
  • Energy-efficient cryptographic protocols
  • Privacy-preserving user matching
  • Security and privacy in Named Data Networking
  • Location privacy


  • P. Gasti and K. Rasmussen: Privacy-preserving User Matching. The 2015 ACM Work- shop on Privacy in the Electronic Society (WPES15)
  • A. Compagno, M. Conti, P. Gasti, L. V. Mancini and G. Tsudik: Violating Consumer Anonymity: Geo-locating Nodes in Named Data Networking, 13th International Conference on Applied Cryptography and Network Security (ACNS), 2015.
  • J. Sedenka, S. Govindarajan, P. Gasti, and K. Balagani, Secure Outsourced Biometric Authentication with Performance Evaluation on Smartphones, IEEE Transactions on Information Security and Privacy (2015)
  • J. Burke, P. Gasti, N. Nathan and G. Tsudik: Secure Sensing over Named Data Networking, The 13th IEEE International Symposium on Network Computing and Applications (NCA), 2014. Cambridge, MA, USA.
  • J. Sedenka, K. Balagani, V. Phoha and P. Gasti: Privacy-Preserving Population-Enhanced Biometric Key Generation from Free-Text Keystroke Dynamics, International Joint Conference on Biometrics (IJCB), 2014

Honors + Awards

  • Fulbright scholar

Courses Taught at NYIT

  • CSCI 610: Theoretical Concepts in Computers and Computation
  • CSCI 651: Algorithmic Concepts
  • INCS 741: Cryptography
  • CSCI 330: Operating Systems (undergraduate)
  • INCS 615/CSCI 440/ITEC 440: Network Security and Perimeter Protection
  • CSCI 185: Programming II
  • CSCI 125: Programming I

Contact Info