Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

IPLDS: Integrity Protection for Long Data Streams in Wireless Sensor Networks Using Montgomery Modular Multiplication

Authors
Daoli Huang, Changsheng Wan
Corresponding Author
Daoli Huang
Available Online March 2017.
DOI
10.2991/ifmca-16.2017.132How to use a DOI?
Keywords
Integrity protection, Long data stream, Montgomery modular multiplication.
Abstract

Due to limited energy of sensors, existing data integrity protection mechanisms for wireless sensor networks (WSNs) typically use a simple hash function for signing and verification. However, since the computation cost of hash function depends on the length of the input data, this cost may be high for long data streams. In this paper, we present a secure and efficient data integrity protection protocol for WSNs named IPLDS, which only uses hash function for processing a short block of data, and mainly operates on the long data stream using Montgomery modular multiplication, which can reduce the computation costs of long data streams significantly.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/ifmca-16.2017.132
ISSN
2352-5401
DOI
10.2991/ifmca-16.2017.132How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Daoli Huang
AU  - Changsheng Wan
PY  - 2017/03
DA  - 2017/03
TI  - IPLDS: Integrity Protection for Long Data Streams in Wireless Sensor Networks Using Montgomery Modular Multiplication
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 841
EP  - 845
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.132
DO  - 10.2991/ifmca-16.2017.132
ID  - Huang2017/03
ER  -