article

Free access

Security in wireless sensor networks

Authors:

Adrian Perrig,

John Stankovic,

David WagnerAuthors Info & Claims

Communications of the ACM, Volume 47, Issue 6

Pages 53 - 57

https://doi.org/10.1145/990680.990707

Published: 01 June 2004 Publication History

All formats PDF

Abstract

They are susceptible to a variety of attacks, including node capture, physical tampering, and denial of service, while prompting a range of fundamental research challenges.

Supplementary Material

PDF File (p53-perrig.jp.pdf)

Requires Asian Language Support in Adobe Reader and Japanese Language Support in Your Browser

Download
262.47 KB

References

[1]

Adamy, D. EW 101: A First Course in Electronic Warfare. Artech House Publishers, Norwood, MA, 2001.

Google Scholar

[2]

Deng, J., Han, R., and Mishra, S. A performance evaluation of intrusion-tolerant routing in wireless sensor networks. In Proceedings of the 2nd IEEE International Workshop on Information Processing in Sensor Networks (IPSN 2003) (Apr. 2003), 349--364.

Digital Library

Google Scholar

[3]

Eschenauer, L. and Gligor, V. A key-management scheme for distributed sensor networks. In Proceedings of the 9th ACM Conference on Computer and Communication Security (Washington, D.C., Nov.). ACM Press, New York, 2002, 41--47.

Digital Library

Google Scholar

[4]

Hu, Y.-C., Perrig, A., and Johnson, D. Packet leashes: A defense against wormhole attacks in wireless ad hoc networks. In Proceedings of IEEE Infocom 2003 (San Francisco, Apr. 1--3, 2003).

Crossref

Google Scholar

[5]

Karlof, C. and Wagner, D. Secure routing in wireless sensor networks: Attacks and countermeasures. In Proceedings of the 1st IEEE International Workshop on Sensor Network Protocols and Applications (Anchorage, AK, May 11, 2003).

Crossref

Google Scholar

[6]

Perrig, A., Szewczyk, R., Wen, V., Culler, D., and Tygar, J. SPINS: Security protocols for sensor networks. J. Wireless Nets. 8, 5 (Sept. 2002), 521--534.

Digital Library

Google Scholar

[7]

Przydatek, B., Song, D., and Perrig, A. SIA: Secure information aggregation in sensor networks. In Proceedings of the 1st ACM International Conference on Embedded Networked Sensor Systems (SenSys 2003) (Los Angeles, Nov. 5--7). ACM Press, New York, 2003, 255--265.

Digital Library

Google Scholar

[8]

Wood, A., Stankovic, J., and Son, S. JAM: A mapping service for jammed regions in sensor networks. In Proceedings of the IEEE Real-Time Systems Symposium (Cancun, Mexico, Dec. 3--5, 2003).

Google Scholar

[9]

Wood, A. and Stankovic, J. Denial of service in sensor networks. IEEE Comput. (Oct. 2002), 54--62.

Digital Library

Google Scholar

Cited By

View all

Xue YYang ZWu ZWang HGui G(2025)Online Two-Stage Channel-Based Lightweight Authentication Method for Time-Varying ScenariosIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.351657520(781-795)Online publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1109/TIFS.2024.3516575
Rehman UMahmood T(2024)Prioritization of types of wireless sensor networks by applying decision-making technique based on bipolar complex fuzzy linguistic heronian mean operatorsJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23216746:1(967-990)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/JIFS-232167
Shrivastava VBhatele MWaoo A(2024)ENHANCING RELIABILITY AND EFFICIENCY OF DETECTING MALICIOUS DATA INJECTION IN WIRELESS SENSOR NETWORKS: AN IN-DEPTH ANALYSISShodhKosh: Journal of Visual and Performing Arts10.29121/shodhkosh.v5.i5.2024.19005:5Online publication date: 31-May-2024
https://doi.org/10.29121/shodhkosh.v5.i5.2024.1900
Show More Cited By

Index Terms

Security in wireless sensor networks

Recommendations

Security mechanisms for wireless sensor networks
Data security in unattended wireless sensor networks
Deep learning algorithms providing security for wireless sensor networks against malicious attacks

Small sensor nodes that have limited energy are the building blocks of wireless sensor networks, often known as WSNs. WSNs are self-sufficient and space-distributed. A WSN is vulnerable to security concerns because it lacks a central authority and ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

Communications of the ACM Volume 47, Issue 6

Wireless sensor networks

June 2004

93 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/990680

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2004

Published in CACM Volume 47, Issue 6

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

977
Total Citations
View Citations
25,460
Total Downloads

Downloads (Last 12 months)582
Downloads (Last 6 weeks)66

Reflects downloads up to 13 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Xue YYang ZWu ZWang HGui G(2025)Online Two-Stage Channel-Based Lightweight Authentication Method for Time-Varying ScenariosIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.351657520(781-795)Online publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1109/TIFS.2024.3516575
Rehman UMahmood T(2024)Prioritization of types of wireless sensor networks by applying decision-making technique based on bipolar complex fuzzy linguistic heronian mean operatorsJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23216746:1(967-990)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/JIFS-232167
Shrivastava VBhatele MWaoo A(2024)ENHANCING RELIABILITY AND EFFICIENCY OF DETECTING MALICIOUS DATA INJECTION IN WIRELESS SENSOR NETWORKS: AN IN-DEPTH ANALYSISShodhKosh: Journal of Visual and Performing Arts10.29121/shodhkosh.v5.i5.2024.19005:5Online publication date: 31-May-2024
https://doi.org/10.29121/shodhkosh.v5.i5.2024.1900
Behiry MAly M(2024)Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methodsJournal of Big Data10.1186/s40537-023-00870-w11:1Online publication date: 13-Jan-2024
https://doi.org/10.1186/s40537-023-00870-w
Rocco Di Torrepadula FDi Martino SMazzocca NSannino P(2024)A Reference Architecture for Data-Driven Intelligent Public Transportation SystemsIEEE Open Journal of Intelligent Transportation Systems10.1109/OJITS.2024.34410485(469-482)Online publication date: 2024
https://doi.org/10.1109/OJITS.2024.3441048
Gopalsamy MNidhya MPrasad PMaram BKalnoor G(2024)Comparative Analysis of Detection Techniques for Malicious Node Identification in Wireless Sensor Networks2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS)10.1109/ICUIS64676.2024.10866503(1500-1502)Online publication date: 12-Dec-2024
https://doi.org/10.1109/ICUIS64676.2024.10866503
Fu QXiong LHe MYang X(2024)Lightweight Anonymous Authentication Frameworks for Wireless Sensor Networks2024 3rd International Conference on Computer Technologies (ICCTech)10.1109/ICCTech61708.2024.00014(28-33)Online publication date: 1-Feb-2024
https://doi.org/10.1109/ICCTech61708.2024.00014
Karanth SOruganti SWang MKulkarni J(2024)Randomization Approaches for Secure SAR ADC Design Resilient Against Power Side-Channel Attacks2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)10.1109/HOST55342.2024.10545378(282-292)Online publication date: 6-May-2024
https://doi.org/10.1109/HOST55342.2024.10545378
Numan MSubhan FKhalid MKhan WIida H(2024)Clone node detection in static wireless sensor networks: A hybrid approachJournal of Network and Computer Applications10.1016/j.jnca.2024.104018(104018)Online publication date: Sep-2024
https://doi.org/10.1016/j.jnca.2024.104018
Al-Husseini ZChaiel HMeddeb AFakhfakh A(2024)A detailed review of wireless sensor network, jammer, the types, location, detection and countermeasures of jammersService Oriented Computing and Applications10.1007/s11761-024-00396-w18:3(225-247)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s11761-024-00396-w
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Magazine Site

View this article on the magazine site (external)

Magazine Site

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

Supplementary Material

References

Cited By

Index Terms

Recommendations

Security mechanisms for wireless sensor networks

Data security in unattended wireless sensor networks

Deep learning algorithms providing security for wireless sensor networks against malicious attacks

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Magazine Site

Login options

Full Access

Share

Share this Publication link

Share on social media

Affiliations