Addressing security in medical sensor networks

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Addressing security in medical sensor networks

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International Conference On Mobile Systems, Applications And Services archive
Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments table of contents

San Juan, Puerto Rico

SESSION: Access and security table of contents

Pages: 7 - 12

Year of Publication: 2007

ISBN:978-1-59593-767-4

Authors

Kriangsiri Malasri	University of Memphis
Lan Wang	University of Memphis

Sponsors

ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 14, Downloads (12 Months): 195, Citation Count: 2

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ABSTRACT

We identify the security challenges facing a sensor network for wireless health monitoring, and propose an architecture called "SNAP" (Sensor Network for Assessment of Patients) to address these challenges. SNAP protects the privacy, authenticity, and integrity of medical data, with low-cost energy-efficient mechanisms. We have incorporated the following mechanisms in SNAP: (1)an ECC-based secure key exchange protocol to set up shared keys between sensor nodes and base stations; (2)symmetric encryption and decryption for protecting data con?dentiality and integrity; (3) a two-tier authentication scheme for verifying data source. We have developed a prototype on the Tmote Sky platform for evaluating the proposed architecture and mechanisms.

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	Fujitsu MBF200 Solid State Fingerprint Sensor. http://www.fujitsu.com/emea/services/microelectronics/sensors/.
	2	Certicom Research. Standards for Efficient Cryptography (SEC)1: Elliptic Curve Cryptography. Sept. 2000.
	3	Certicom Research. Standards for Efficient Cryptography (SEC)2: Recommended Elliptic Curve Domain Parameters. Sept. 2000.
	4	D. Chaum and E. van Heijst. Group Signatures. In Advances in Cryptology - Eurocrypt '91 pages 257--265, 1991.
	5	Crossbow Solutions Newsletter. Motes for mobile communication and tele-medicine. 2005.
	6	Crossbow Technology. MPR/MIB mote hardware users manual. http://www.xbow.com/Support/manuals.htm,Jan. 2006.
	7	D. Eastlake and P. Jones. US Secure Hash Algorithm 1. RFC 3174, http://www.ietf.org/rfc/rfc3174.txt,Sept.2001.
	8	R. Fischer, L. Ohno-Machado, D. Curtis, R. Greenes, T. Stair, and J. Guttag. SMART: Scalable medical alert response technology. In Smart Medical Technologies Summit (SMT) 2004.
	9	N. Gura, A. Patel, A. Wander, H. Eberle, and S. C. Shantz. Comparing Elliptic Curve Cryptography and RSA on 8-bit CPUs. In Workshop on Cryptographic Hardware and Embedded Systems Aug. 2004.
	10	H. Wang and B. Sheng and Q. Li. TelosB implementation of elliptic curve cryptography over primary ?eld. Technical Report WM-CS-2005-12, Dept. of Computer Science, College of William and Mary, Oct. 2005.
	11	H. G. Hosseini, D. Luo, and K. J. Reynolds. The Comparison of Different Feed Forward Neural Network Architectures for ECG Signal Diagnosis.Medical Engineering and Physics 28:372--378, 2006.
	12	S. A. Israel, J. M. Irvine, A. Cheng, M. D. Wiederhold, and B. K. Wiederhold. ECG to identify individuals. Pattern Recognition 38:133--142, 2005.
	13	B. Kaliski. PKCS #5: Password-Based Cryptography Specification. RFC 2898, http://www.ietf.org/rfc/rfc2898.txt, Sept. 2000.
	14	H. Krawczyk, M. Bellare, and R. Canetti. HMAC: Keyed-Hashing for Message Authentication. RFC 2104, http://www.ietf.org/rfc/rfc2104.txt,Feb.1997.
	15	A. Liu, P. Kampanakis, and P. Ning. TinyECC: Elliptic Curve Cryptography for Sensor Networks. http://discovery.csc.ncsu.edu/software/TinyECC/.
	16	Moteiv Corporation. Tmote Sky. http://www.moteiv.com/products/tmotesky.php,2007.
	17	C. Park, P. H. Chou,Y. Bai, R. Matthews, and A. Hibbs. An Ultra-Wearable, Wireless, Low Power ECG Monitoring System. Proceedings of IEEE BioCAS Nov. 2006.
	18	A. Perrig, R. Szewczyk, V. Wen, D. Culler, and J. D. Tygar. SPINS: Security protocols for sensor networks. In Proceedings of the ACM MOBICOM 2001.
	19	S. C. Shantz. From Euclid's GCD to Montgomery Multiplication to the Great Divide. Technical Report TR-2001--95, Sun Microsystems, June 2001.
	20	V. Shnayder, B.-R. Chen, K. Lorincz, T. R. F. Fulford-Jones, and M. Welsh. Sensor networks for medical care. Technical Report TR-08-05, Harvard University, Apr. 2005.
	21	Q. Wang, W. Shin, X. Liu, Z. Zeng, C. Oh, B. Al-Shebli, M. Caccamo, C. Gunter, E. Gunter, J. Hou, K. Karahalios, and L. Sha. I-Living: An open system architecture for assisted living. In Proceedings of the IEEE SMC 2006.
	22	A. Wood, G. Virone, T. Doan, Q. Cao, L. Selavo, Y. Wu, L. Fang, Z. He, S. Lin, and J. Stankovic. ALARM-NET: Wireless Sensor Networks for Assisted-Living and Health Monitoring. Technical Report CS-2006--01, University of Virginia, 2006.

CITED BY 2

	Chiu C. Tan , Haodong Wang , Sheng Zhong , Qun Li, Body sensor network security: an identity-based cryptography approach, Proceedings of the first ACM conference on Wireless network security, March 31-April 02, 2008, Alexandria, VA, USA
	An Liu , Peng Ning, TinyECC: A Configurable Library for Elliptic Curve Cryptography in Wireless Sensor Networks, Proceedings of the 7th international conference on Information processing in sensor networks, p.245-256, April 22-24, 2008