[rfc-dist] RFC 4442 on Bootstrapping Timed Efficient Stream Loss-Tolerant Authentication (TESLA)
rfc-editor at rfc-editor.org
Fri Mar 17 15:28:53 PST 2006
A new Request for Comments is now available in online RFC libraries.
Title: Bootstrapping Timed Efficient Stream Loss-Tolerant
Author: S. Fries, H. Tschofenig
Status: Standards Track
Date: March 2006
Mailbox: steffen.fries at siemens.com,
Hannes.Tschofenig at siemens.com
I-D Tag: draft-ietf-msec-bootstrapping-tesla-03.txt
TESLA, the Timed Efficient Stream Loss-tolerant Authentication
protocol, provides source authentication in multicast scenarios.
TESLA is an efficient protocol with low communication and computation
overhead that scales to large numbers of receivers and also tolerates
packet loss. TESLA is based on loose time synchronization between
the sender and the receivers. Source authentication is realized in
TESLA by using Message Authentication Code (MAC) chaining. The use
of TESLA within the Secure Real-time Transport Protocol (SRTP) has
been published, targeting multicast authentication in scenarios where
SRTP is applied to protect the multimedia data. This solution
assumes that TESLA parameters are made available by out-of-band
This document specifies payloads for the Multimedia Internet Keying
(MIKEY) protocol for bootstrapping TESLA for source authentication of
secure group communications using SRTP. TESLA may be bootstrapped
using one of the MIKEY key management approaches, e.g., by using a
digitally signed MIKEY message sent via unicast, multicast, or
broadcast. [STANDARDS TRACK]
This document is a product of the Multicast Security
Working Group of the IETF.
This is now a Proposed Standard Protocol.
STANDARDS TRACK: This document specifies an Internet standards track
protocol for the Internet community,and requests discussion and
suggestions for improvements.Please refer to the current edition of the
Internet Official Protocol Standards (STD 1) for the standardization
state and status of this protocol. Distribution of this memo is
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Authors, for further information.
Joyce K. Reynolds and Sandy Ginoza
USC/Information Sciences Institute
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