TuLP: A Family of Secure and Practical Message Authentication Codes for Body Sensor Networks

Zheng Gong, Pieter H. Hartel, S.I. Nikova, Bo Zhu

    Research output: Book/ReportReportProfessional

    146 Downloads (Pure)

    Abstract

    A wireless sensor network (WSN) commonly requires lower level security for public information gathering, whilst a body sensor network (BSN) must be secured with strong authenticity to protect personal health information. In this paper, some practical problems with the Message Authentication Codes (MACs), which were proposed in the popular security architectures for WSNs, are reconsidered. The analysis exploits the fact that the recommended MACs for WSNs, e.g., CBC-MAC (TinySec), OCB-MAC (MiniSec), and XCBC-MAC (SenSec), are not exactly suitable for BSNs. Particularly an existential forgery attack is elaborated on XCBC-MAC. Considering the hardware limitations of BSNs, we propose a new family of Tunable Lightweight MAC based on the PRESENT block cipher. The first scheme, which is named TuLP, is a new lightweight MAC with 64-bit output range. The second scheme, which is named TuLP-128, is a 128-bit variant which provides a higher resistance against internal collisions. Compared to the existing schemes, our lightweight MACs are both time and resource efficient on hardware-constrained devices.
    Original languageEnglish
    Place of PublicationEnschede
    PublisherCentre for Telematics and Information Technology (CTIT)
    Number of pages23
    Publication statusPublished - May 2009

    Publication series

    NameCTIT Technical Report Series
    PublisherCentre for Telematics and Information Technology, University of Twente
    No.TR-CTIT-09-32
    ISSN (Print)1381-3625

    Keywords

    • SCS-Cybersecurity
    • Resource-constrained implementation
    • Message authentication code
    • Body sensor network

    Fingerprint

    Dive into the research topics of 'TuLP: A Family of Secure and Practical Message Authentication Codes for Body Sensor Networks'. Together they form a unique fingerprint.

    Cite this