A novel image authentication approach using an overlap-based shared secret for collaborative wireless sensors

Tao Ma; Michael Hempel; Dongming Peng; Hamid Sharif

doi:10.1109/VETECS.2010.5494207

A novel image authentication approach using an overlap-based shared secret for collaborative wireless sensors

Tao Ma, Michael Hempel, Dongming Peng, Hamid Sharif

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this paper we present a novel approach that leverages overlap regions of images from different wireless sensors for mutual authentication of the transmitted images. We present our theoretical analysis for this approach and derive the authenticity ratio for a binary symmetric channel. Our results show that by selecting appropriate authenticity constraints and appropriate numbers of overlap region packets, a significant improvement of the authentication success probability can be achieved compared to traditional image authentication approaches.

Original language	English (US)
Journal	IEEE Vehicular Technology Conference
DOIs	https://doi.org/10.1109/VETECS.2010.5494207
State	Published - 2010
Event	2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring - Taipei, Taiwan, Province of China Duration: May 16 2010 → May 19 2010

Keywords

Authentication success probability
Image authentication
Overlap

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/VETECS.2010.5494207

Cite this

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title = "A novel image authentication approach using an overlap-based shared secret for collaborative wireless sensors",

abstract = "In this paper we present a novel approach that leverages overlap regions of images from different wireless sensors for mutual authentication of the transmitted images. We present our theoretical analysis for this approach and derive the authenticity ratio for a binary symmetric channel. Our results show that by selecting appropriate authenticity constraints and appropriate numbers of overlap region packets, a significant improvement of the authentication success probability can be achieved compared to traditional image authentication approaches.",

keywords = "Authentication success probability, Image authentication, Overlap",

author = "Tao Ma and Michael Hempel and Dongming Peng and Hamid Sharif",

note = "Funding Information: This research was supported by U.S. NSF grant No.0707944 for wireless sensor network research. Publisher Copyright: {\textcopyright} 2010 IEEE.; 2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring ; Conference date: 16-05-2010 Through 19-05-2010",

year = "2010",

doi = "10.1109/VETECS.2010.5494207",

language = "English (US)",

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AU - Ma, Tao

AU - Hempel, Michael

AU - Peng, Dongming

AU - Sharif, Hamid

PY - 2010

Y1 - 2010

N2 - In this paper we present a novel approach that leverages overlap regions of images from different wireless sensors for mutual authentication of the transmitted images. We present our theoretical analysis for this approach and derive the authenticity ratio for a binary symmetric channel. Our results show that by selecting appropriate authenticity constraints and appropriate numbers of overlap region packets, a significant improvement of the authentication success probability can be achieved compared to traditional image authentication approaches.

AB - In this paper we present a novel approach that leverages overlap regions of images from different wireless sensors for mutual authentication of the transmitted images. We present our theoretical analysis for this approach and derive the authenticity ratio for a binary symmetric channel. Our results show that by selecting appropriate authenticity constraints and appropriate numbers of overlap region packets, a significant improvement of the authentication success probability can be achieved compared to traditional image authentication approaches.

KW - Authentication success probability

KW - Image authentication

KW - Overlap

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DO - 10.1109/VETECS.2010.5494207

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AN - SCOPUS:85115961466

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JO - IEEE Vehicular Technology Conference

JF - IEEE Vehicular Technology Conference

T2 - 2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring

Y2 - 16 May 2010 through 19 May 2010

ER -

A novel image authentication approach using an overlap-based shared secret for collaborative wireless sensors

Abstract

Keywords

ASJC Scopus subject areas

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