Poster abstract: Statistical en-route filtering in large scale sensor networks

Fan Ye; Haiyun Luo; Songwu Lu; Lixia Zhang

Poster abstract: Statistical en-route filtering in large scale sensor networks

Fan Ye
, Haiyun Luo
, Songwu Lu
, Lixia Zhang

Electrical Engineering

University of California at Los Angeles

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Statistical en-route filtering (SEP) in large-scale sensor networks is proposed. SEF leverages the scale of the sensor network and high density level in sensor node deployment. Energy consumption with and without SEF was compared and found that SEF saves energy when the amount of injected traffic exceeds that of the legitimate traffic. SEF lets sensor nodes share keys probabilistically to enable statistical en-route verification of a report's MAC.

Original language	English
Title of host publication	SenSys'03
Subtitle of host publication	Proceedings of the First International Conference on Embedded Networked Sensor Systems
Pages	330-331
Number of pages	2
State	Published - 2003
Event	SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems - Los Angeles, CA, United States Duration: Nov 5 2003 → Nov 7 2003

Publication series

Name	SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems

Conference

Conference	SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems
Country/Territory	United States
City	Los Angeles, CA
Period	11/5/03 → 11/7/03

Keywords

Compromised nodes
False data
Security
Sensor networks

Cite this

@inproceedings{d7978bae982b4427bc9e185737625daa,

title = "Poster abstract: Statistical en-route filtering in large scale sensor networks",

abstract = "Statistical en-route filtering (SEP) in large-scale sensor networks is proposed. SEF leverages the scale of the sensor network and high density level in sensor node deployment. Energy consumption with and without SEF was compared and found that SEF saves energy when the amount of injected traffic exceeds that of the legitimate traffic. SEF lets sensor nodes share keys probabilistically to enable statistical en-route verification of a report's MAC.",

keywords = "Compromised nodes, False data, Security, Sensor networks",

author = "Fan Ye and Haiyun Luo and Songwu Lu and Lixia Zhang",

year = "2003",

language = "English",

isbn = "1581137079",

series = "SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems",

pages = "330--331",

booktitle = "SenSys'03",

note = "SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems ; Conference date: 05-11-2003 Through 07-11-2003",

}

Ye, F, Luo, H, Lu, S & Zhang, L 2003, Poster abstract: Statistical en-route filtering in large scale sensor networks. in SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems. SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems, pp. 330-331, SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems, Los Angeles, CA, United States, 11/5/03.

Poster abstract: Statistical en-route filtering in large scale sensor networks. / Ye, Fan; Luo, Haiyun; Lu, Songwu et al.
SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems. 2003. p. 330-331 (SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Poster abstract

T2 - SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems

AU - Ye, Fan

AU - Luo, Haiyun

AU - Lu, Songwu

AU - Zhang, Lixia

PY - 2003

Y1 - 2003

N2 - Statistical en-route filtering (SEP) in large-scale sensor networks is proposed. SEF leverages the scale of the sensor network and high density level in sensor node deployment. Energy consumption with and without SEF was compared and found that SEF saves energy when the amount of injected traffic exceeds that of the legitimate traffic. SEF lets sensor nodes share keys probabilistically to enable statistical en-route verification of a report's MAC.

AB - Statistical en-route filtering (SEP) in large-scale sensor networks is proposed. SEF leverages the scale of the sensor network and high density level in sensor node deployment. Energy consumption with and without SEF was compared and found that SEF saves energy when the amount of injected traffic exceeds that of the legitimate traffic. SEF lets sensor nodes share keys probabilistically to enable statistical en-route verification of a report's MAC.

KW - Compromised nodes

KW - False data

KW - Security

KW - Sensor networks

UR - https://www.scopus.com/pages/publications/18844417739

M3 - Conference contribution

AN - SCOPUS:18844417739

SN - 1581137079

SN - 9781581137071

T3 - SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems

SP - 330

EP - 331

BT - SenSys'03

Y2 - 5 November 2003 through 7 November 2003

ER -

Poster abstract: Statistical en-route filtering in large scale sensor networks

Abstract

Publication series

Conference

Keywords

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