Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

inf-TESLA: Multicast Delayed Authentication For Streaming Sensor Data in Electric Power Systems



Sergio Camara, Dhananjay Anand, Victoria Yan Pillitteri, Luiz F. Carmo


Multicast authentication of synchrophasor data is challenging due to the design requirements of electric power monitoring systems such as low security overhead, tolerance of lossy networks, time-criticality and high data rates. In this work, we propose inf-TESLA, a multicast delayed authentication protocol for communication links used to stream phasor data for wide area control of electric power networks. Our approach is based on the authentication protocol TESLA but is augmented to accommodate high frequency transmissions of unbounded length. Crucially, our protocol utilizes dual offset key chains to reduce authentication delay and computational overhead associated with key chain commitment. We provide a description of our approach using two different modes for disclosing keys. We compare our approach against the TESLA protocol, showing a cumulative reduction in the communication overhead and computational cost particularly for long transmissions. Further, we demonstrate a design tradeoff between attack authority and authentication delay for the time dependent robust stability of a wide area damping control system.
Proceedings Title
IFIP Advances in Information and Communication Technology
Conference Dates
May 30-June 1, 2016
Conference Location
Ghent, BE
Conference Title
ICT Systems Security and Privacy Protection


Multicast authentication, synchrophasors, Power Systems, Wide Area Control


Camara, S. , Anand, D. , Pillitteri, V. and Carmo, L. (2016), inf-TESLA: Multicast Delayed Authentication For Streaming Sensor Data in Electric Power Systems, IFIP Advances in Information and Communication Technology, Ghent, BE, [online],, (Accessed February 21, 2024)
Created May 31, 2016, Updated October 12, 2021