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MIAMI: methods and infrastructure for the assurance of measurement information
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Source ACM International Conference Proceeding Series; Vol. 96 archive
Proceedings of the 2nd international workshop on Data management for sensor networks table of contents
Trondheim, Norway
SESSION: Security table of contents
Pages: 11 - 17  
Year of Publication: 2005
ISBN:1-59593-206-2
Authors
Wade Trappe  Rutgers University, Piscataway, NJ
Yanyong Zhang  Rutgers University, Piscataway, NJ
Badri Nath  Rutgers University, Piscataway, NJ
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Adversaries do not need to attack traditional security services to affect the operation of a sensor network, but may deliberately perturb the measurement environment, the measurement method, or the measurement infrastructure. These types of attacks, which are attacks on the process of measurement(PoM attacks), are unique to sensor networks and cannot be addressed through the usual security methods. Hence, to complement traditional security services, defense mechanisms are needed to protect the sensor network from PoM attacks. This paper lays out a framework for assuring the validity of measurement data in sensor networks. This framework, which we call the Methods and Infrastructure for the Assurance of Measurement Information (MIAMI), is centered around the development of the PoM monitor. The PoM monitor is responsible for preventing corrupted measurement data from ever reaching core sensor services. We map out several mechanisms for that might be useful for building the PoM monitor on sensor nodes, and examine how it would operate by applying the techniques to the detection of wireless interference in a sensor network.


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.

 
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M. Talev, "Officials guard against leaks at gas stations," Los Angeles Times, August 19, 2002.
 
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Berkeley Intel Research, "Tiny application sensor kit," http://berkeley.intel-research.net/task/.
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V. Barnett and T. Lewis, Outliers in Statistical Data, John Wiley and Sons, 1994.
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P. Bevington and D. Robinson, Data Reduction and Error Analysis for the Physical Sciences, McGraw Hill, 1992.
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Collaborative Colleagues:
Wade Trappe: colleagues
Yanyong Zhang: colleagues
Badri Nath: colleagues