To the members of the SCHC and ANIMA Working Groups:
Many IoT devices are connected to their applications using simplified
communications protocols, often with minimal security. There is an
increasing need to merge IoT "islands" into the general Internet; this
is becoming more feasible as IoT device capabilities have increased.
Communications protocols targeted for the IoT space often have very
small MTUs, and Ipv6 addresses are quite large. Static Context Header
Compression (SCHC) provides a methodology for reducing the size of the
IP headers, and providing the necessary fragmentation.
The ANIMA specifications provide a methodology (based on autonomic
networking) for securely managing devices.
By combining a basic set of SCHC compression rules and autonomic
networking, we have been able to demonstrate, for LoRaWAN (a widely used
networking technology in the IoT space) that it is feasible to manage
IoT devices securely.
We call the basic rule set "SCHC Zero". This rule set, and the
certificates required by ANIMA, are installed in the device by the
original manufacturer. Once the IoT device is accepted as a member of
an ANIMA domain, its rule set can be (securely) updated to correspond to
the needs of the application that is to run on it. In addition, other
updates can be performed (to basic software or applications) with the
assurance that the device is properly identified.
We have done the verification for both BRSKI and cBRSKI, and for LORaWAN
spreading factors from 7 (best case) to 12 (worst case).
A pre-print of a submitted paper is available to anyone who is
interested: "A Framework for Secure Autonomic IoT Device Management in
Constrained Networks". Please send your request to Bill Atwood or
Sandra Cespedes.
This work is based on the master's thesis of Maryam Hatami at Concordia
University. A copy of the full thesis is also available.
Maryam Hatami
Sandra Céspedes <sandra.cespe...@concordia.ca>
Bill Atwood <william.atw...@concordia.ca>
--
Dr. J.W. Atwood, Eng. tel: +1 (514) 848-2424 x3046
Distinguished Professor Emeritus fax: +1 (514) 848-2830
Department of Computer Science
and Software Engineering
Concordia University ER 1234 email:william.atw...@concordia.ca
1455 de Maisonneuve Blvd. West http://users.encs.concordia.ca/~bill
Montreal, Quebec Canada H3G 1M8
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