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{"references": ["P. J. Feldstein, Health care Economics, New York: Delmar, 2011, ch. 10.", "K. Yamakoshi, \"Unconstrained physiological monitoring in daily living\nfor health care,\" Frontiers Med. Biol. Eng., vol. 10, no. 3, pp. 139-159,\nSep. 2000.", "K. H. Lee, \"Application of u-Health to Emergency Medical Service\nSystem,\" J. Korean Med. Assoc. Eng., vol. 52, no. 12, pp. 1148-1153,\nDec. 2009.", "K. Jeong, E-Y Jung, and D. K. Park, \"Trend of wireless u-Health,\" in 9th\nsymposium on Communications and Information Technology 2009\n(ISCIT 2009), Incheon, Korea, 2009, pp. 829-833.", "H. S. Ng, M. L. Sim, and C. M. Tan, \"Security issues of wireless sensor\nnetworks in healthcare applications,\" BT Technology Journal, vol. 24, no.\n2, pp. 138-144, April 2006.", "W. Shin, Y. D. Cha, and G. Yoon, \"ECG/PPG integer signal processing\nfor a ubiquitous health monitoring system,\" Journal of medical systems,\nvol. 34, no.5, pp. 891-898, May. 2009.", "Y. D. Cha, and G. Yoon, \"Ubiquitous health monitoring system using\nZigbee and wireless LAN dual-network,\" Telemedicine and e-health, vol.\n15, no.9, pp. 891-897, Nov. 2009.", "Y-G Lee, and G. Yoon, \"Smartphone-based Mobile Health Monitoring\nSystem for Multiple Users\", accepted, Telemedicine and e-health.", "B. Schneier, \"Description of a New Variable-Length Key, 64-Bit Block\nCipher (Blowfish),\" in Fast Software Encryption (FSE-93). vol. 809,\nLNCS 809, New York: Springer-Verlag, 1994, pp. 191-204.\n[10] F.I.P. Standard, \"Data Encryption Standard (DES),\" National Institute of\nStandards and Technology (NIST), FIPS 46-3, Oct 1999\n[11] K. Wu, R. Karri, G. Kuznetsov, and M. Goessel, \"Low cost concurrent\nerror detection for the advanced encryption standard,\" in International\nTest Conf. (ITC2004), pp. 1242-1248.\n[12] P. Prasithsangaree, and P. Krishnamurthy, \"Analysis of Energy\nConsumption of RC4 and AES Algorithms in Wireless LANs,\" in IEEE\nGlobal Telecommunications Conf. (GLOBECOM \u00d4\u00c7\u00ff 03), pp. 1445-1449.\n[13] Scott R. Fluhrer, Itsik Mantin and Adi Shamir, \"Weaknesses in the Key\nScheduling Algorithm of RC4,\" in Selected Areas in Cryptography 2001,\npp. 1 - 24."]}
Data security in u-Health system can be an important issue because wireless network is vulnerable to hacking. However, it is not easy to implement a proper security algorithm in an embedded u-health monitoring because of hardware constraints such as low performance, power consumption and limited memory size and etc. To secure data that contain personal and biosignal information, we implemented several security algorithms such as Blowfish, data encryption standard (DES), advanced encryption standard (AES) and Rivest Cipher 4 (RC4) for our u-Health monitoring system and the results were successful. Under the same experimental conditions, we compared these algorithms. RC4 had the fastest execution time. Memory usage was the most efficient for DES. However, considering performance and safety capability, however, we concluded that AES was the most appropriate algorithm for a personal u-Health monitoring system.
u-health, data encryption, biosignal, security measures
u-health, data encryption, biosignal, security measures
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