ACM Home Page
Please provide us with feedback. Feedback
Attack-Resistant Location Estimation in Wireless Sensor Networks
Full text PdfPdf (1.81 MB)
Source
ACM Transactions on Information and System Security (TISSEC) archive
Volume 11 ,  Issue 4  (July 2008) table of contents
Article No. 22  
Year of Publication: 2008
ISSN:1094-9224
Authors
Donggang Liu  The University of Texas at Arlington
Peng Ning  North Carolina State University
An Liu  North Carolina State University
Cliff Wang  Army Research Office
Wenliang Kevin Du  Syracuse University
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): n/a,   Downloads (12 Months): n/a,   Citation Count: 0
Additional Information:

abstract   references   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/10.1145/1380564.1380570
What is a DOI?

ABSTRACT

Many sensor network applications require sensors' locations to function correctly. Despite the recent advances, location discovery for sensor networks in hostile environments has been mostly overlooked. Most of the existing localization protocols for sensor networks are vulnerable in hostile environments. The security of location discovery can certainly be enhanced by authentication. However, the possible node compromises and the fact that location determination uses certain physical features (e.g., received signal strength) of radio signals make authentication not as effective as in traditional security applications. This article presents two methods to tolerate malicious attacks against range-based location discovery in sensor networks. The first method filters out malicious beacon signals on the basis of the “consistency” among multiple beacon signals, while the second method tolerates malicious beacon signals by adopting an iteratively refined voting scheme. Both methods can survive malicious attacks even if the attacks bypass authentication, provided that the benign beacon signals constitute the majority of the beacon signals. This article also presents the implementation and experimental evaluation (through both field experiments and simulation) of all the secure and resilient location estimation schemes that can be used on the current generation of sensor platforms (e.g., MICA series of motes), including the techniques proposed in this article, in a network of MICAz motes. The experimental results demonstrate the effectiveness of the proposed methods, and also give the secure and resilient location estimation scheme most suitable for the current generation of 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
Bulusu, N., Heidemann, J., and Estrin, D. 2000. GPS-less low cost outdoor localization for very small devices. In IEEE Personal Communications Magazine. 28--34.
 
3
Capkun, S. and Hubaux, J. 2005. Secure positioning of wireless devices with application to sensor networks. In Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM'05) .
 
4
 
5
Doherty, L., Pister, K. S., and Ghaoui, L. E. 2001. Convex optimization methods for sensor node position estimation. In Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM'01).
6
 
7
8
 
9
10
11
12
 
13
Hu, L. and Evans, D. 2003. Secure aggregation for wireless networks. In Proceedings of the Workshop on Security and Assurance in Ad Hoc Networks (WSAAN'03).
 
14
Hu, Y., Perrig, A., and Johnson, D. 2003. Packet leashes: A defense against wormhole attacks in wireless ad hoc networks. In Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM'03).
15
 
16
 
17
Karlof, C. and Wagner, D. 2003. Secure routing in wireless sensor networks: Attacks and countermeasures. In Proceedings of 1st IEEE International Workshop on Sensor Network Protocols and Applications (SNPA'03).
18
 
19
20
21
22
 
23
 
24
 
25
 
26
Nagpal, R., Shrobe, H., and Bachrach, J. 2003. Organizing a global coordinate system from local information on an ad hoc sensor network. In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN'03).
27
28
 
29
Niculescu, D. and Nath, B. 2001. Ad hoc positioning system (APS). In Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM'01).
 
30
Niculescu, D. and Nath, B. 2003a. Ad hoc positioning system (APS) using AoA. In Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Society (INFOCOM'03). 1734--1743.
 
31
Niculescu, D. and Nath, B. 2003b. DV based positioning in ad hoc networks. In J. Telecomm. Syst.
32
33
34
35
 
36
Ray, S., Ungrangsi, R., Pellegrini, F. D., Trachtenberg, A., and Starobinski, D. 2003. Robust location detection in emergency sensor networks. In Proceedings of the Annual Joint Conference of the IEEE Computer and Communications Society (INFOCOM'03).
37
38
39
 
40
Shenker, S., Ratnasamy, S., Karp, B., Govindan, R., and Estrin, D. 2002. Data-centric storage in sensornets. In Proceedings of the 1st ACM Workshop on Hot Topics in Networks (HotNets-I).
 
41
Yu, Y., Govindan, R., and Estrin, D. 2001. Geographical and energy aware routing: A recursive data dissemination protocol for wireless sensor networks. Tech. Rep. UCLA/CSD-TR-01-0023, UCLA, Department of Computer Science. May.

Collaborative Colleagues:
Donggang Liu: colleagues
Peng Ning: colleagues
An Liu: colleagues
Cliff Wang: colleagues
Wenliang Kevin Du: colleagues