RFC 4082 on Timed Efficient Stream Loss-Tolerant Authentication (TESLA): Multicast Source Authentication Transform Introduction

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        RFC 4082

        Title:      Timed Efficient Stream Loss-Tolerant
                    Authentication (TESLA): Multicast Source
                    Authentication Transform Introduction
        Author(s):  A. Perrig, D. Song, R. Canetti, J. D. Tygar,
                    B. Briscoe
        Status:     Informational
        Date:       June 2005
        Mailbox:    perrig@cmu.edu, dawnsong@cmu.edu,
                    canetti@watson.ibm.com, doug.tygar@gmail.com,
                    bob.briscoe@bt.com
        Pages:      22
        Characters: 54316
        Updates/Obsoletes/SeeAlso:    None

        I-D Tag:    draft-ietf-msec-tesla-intro-04.txt

        URL:        ftp://ftp.rfc-editor.org/in-notes/rfc4082.txt


This document introduces Timed Efficient Stream
Loss-tolerant Authentication (TESLA).  TESLA allows all receivers to
check the integrity and authenticate the source of each packet in
multicast or broadcast data streams.  TESLA requires no trust between
receivers, uses low-cost operations per packet at both sender and
receiver, can tolerate any level of loss without retransmissions, and
requires no per-receiver state at the sender.  TESLA can protect
receivers against denial of service attacks in certain circumstances.
Each receiver must be loosely time-synchronized with the source in
order to verify messages, but otherwise receivers do not have to send
any messages. TESLA alone cannot support non-repudiation of the data
source to third parties. 

This informational document is intended to assist in writing
standardizable and secure specifications for protocols based on TESLA
in different contexts.

This document is a product of the Multicast Security Working Group of
the IETF.

This memo provides information for the Internet community.  It does
not specify an Internet standard of any kind.  Distribution of this
memo is unlimited.

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Joyce K. Reynolds and Sandy Ginoza
USC/Information Sciences Institute

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