ACM Home Page
Please provide us with feedback. Feedback
Pre-authentication filters: providing dos resistance for signature-based broadcast authentication in sensor networks
Full text PdfPdf (313 KB)
Source
Conference On Wireless Network Security archive
Proceedings of the first ACM conference on Wireless network security table of contents
Alexandria, VA, USA
SESSION: Authentication in wireless networks table of contents
Pages 2-12  
Year of Publication: 2008
ISBN:978-1-59593-814-5
Authors
Qi Dong  University if Texas at Arlington, Arlington, TX
Donggang Liu  University if Texas at Arlington, Arlington, TX
Peng Ning  North Carolina State University, Raleigh, NC
Sponsors
SIGSAC: ACM Special Interest Group on Security, Audit, and Control
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 24,   Downloads (12 Months): 157,   Citation Count: 3
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1352533.1352536
What is a DOI?

ABSTRACT

Recent studies have demonstrated that it is possible to perform public key cryptographic operations on the resource-constrained sensor platforms. However, the significant resource consumption imposed by public key cryptographic operations makes such mechanisms easy targets of Denial- of Service (DoS) attacks. For example, if digital signatures such as ECDSA are used directly for broadcast authentication without further protection, an attacker can simply broadcast forged packets and force the receiving nodes to perform a large number of unnecessary signature verifications, eventually exhausting their battery power. This paper studies how to deal with such DoS attacks when signatures are used for broadcast authentication in sensor networks. In particular, this paper presents two filtering techniques, a group-based filter and a key chain-based filter, to handle DoS attacks against signature verification. Both methods can significantly reduce the number of unnecessary signature verifications that a sensor node has to perform. The analytical results also show that these two techniques are efficient and effective for resource-constrained sensor networks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
 
3
Crossbow Technology Inc. MICAz 2.4GHz Wireless Module. http://www.xbow.com/Products/productdetails.aspx?sid=164. Accessed in January 2008.
4
 
5
N. Gura, A. Patel, and A. Wander. Comparing elliptic curve cryptography and rsa on 8-bit CPUs. In Proceedings of the Workshop on Cryptographic Hardware and Embedded Systems (CHES), August 2004.
 
6
C. Hartung, J. Balasalle, and R. Han. Node compromise in sensor networks: The need for secure systems. Technical Report CU-CS-990-05, U. Colorado at Boulder, Jan. 2005.
 
7
Y. Hu, A. Perrig, and D. Johnson. Packet leashes: A defense against wormhole attacks in wireless ad hoc networks. In Proceedings of INFOCOM, April 2003.
 
8
IEEE Computer Society. IEEE standard for information technology - telecommunications and information exchange between systems - local and metropolitan area networks specific requirements part 15.4: wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (LR-WPANs). IEEE Std 802.15.4-2003, 2003.
 
9
C. Karlof and D. Wagner. Secure routing in wireless sensor networks: Attacks and countermeasures. In Proceedings of 1st IEEE International Workshop on Sensor Network Protocols and Applications, May 2003.
10
11
 
12
A. Liu and P. Ning. TinyECC: Elliptic curve cryptography for sensor networks. http://discovery.csc.ncsu.edu/software/TinyECC/index.html.
13
 
14
D. J. Malan, M. Welsh, and M. D. Smith. A public-key infrastructure for key distribution in tinyos based on elliptic curve cryptography. In Proceedings of First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (IEEE SECON 2004), pages 71--80, 2004.
15
16
 
17
 
18
19
20
 
21
Texas Instruments Inc. 2.4 GHz IEEE 802.15.4 / ZigBee-ready RF Transceiver. http://focus.ti.com/lit/ds/symlink/cc2420.pdf. Accessed in January 2008.
 
22
H. Wang, B. Sheng, C. C. Tan, and Q. Li. WM-ECC: an Elliptic Curve Cryptography Suite on Sensor Motes. Technical Report WM-CS-2007-11, College of William and Mary, Computer Science, Williamsburg, VA, 2007.
23
 
24
 
25


Collaborative Colleagues:
Qi Dong: colleagues
Donggang Liu: colleagues
Peng Ning: colleagues