지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.14 No.2
- 발행연도
- 2020.6
- 수록면
- 66 - 75 (10page)
- DOI
- 10.5626/JCSE.2020.14.2.66
이용수
초록· 키워드
오류제보하기
Wireless medical sensor networks (WMSN) collect the data of a patient’s vital body parameters using wearable or nonwearable biosensors. Since WMSN is wireless in nature there occur numerous issues like a false alarm, lack of robustness, and low processor speed, which reduce the system’s effectiveness. One of the major issues is the security and privacy protection of the collected data and providing a greater Quality of Service (QoS) for the network in terms of energy efficiency, standardization, etc. Targeting these problems, we introduced a hybrid secure and fuzzy fusion system to achieve efficient secure transmission and data fusion in WMSN. The basic idea of the proposed method is to generate a private key from specific features of the digital color image; the generated key is encrypted by the Advanced Encryption Standards (AES) mechanism. The proposed system handles the vague and imprecise data to reduce energy consumption and increases the network lifetime. The inference results verify the efficiency of the proposed method in terms of security and energy consumption of the network.
목차
Abstract
I. INTRODUCTION
II. RELATED WORK
III. PROPOSED SYSTEM
IV. IMPLEMENTATION RESULTS
V. CONCLUSION
REFERENCES
참고문헌 (22)
참고문헌 신청
D. He, S. Chan, and S. Tang, “A novel and lightweight system to secure wireless medical sensor networks,” IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 1, pp. 316-326, 2013.
J. Sun, Y. Fang, and X. Zhu, “Privacy and emergency response in e-healthcare leveraging wireless body sensor networks,” IEEE Wireless Communications, vol. 17, no. 1, pp. 66-73, 2010.
C. C. Tan, H. Wang, S. Zhong, and Q. Li, “IBE-Lite: a lightweight identity-based cryptography for body sensor networks,” IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 6, pp. 926-932, 2009.
Z. Zhang, H. Wang, A. V. Vasilakos, and H. Fang, “ECGcryptography and authentication in body area networks,” IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 6, pp. 1070-1078, 2012.
N. Zhao, A. Ren, M. U. Rehman, Z. Zhang, X. Yang, and F. Hu, “Biometric behavior authentication exploiting propagation characteristics of wireless channel,” IEEE Access, vol. 4, pp. 4789-4796, 2016.
J. Sun, Y. Fang, and X. Zhu, “Privacy and emergency response in e-healthcare leveraging wireless body sensor networks,” IEEE Wireless Communications, vol. 17, no. 1, pp. 66-73, 2010.
C. C. Tan, H. Wang, S. Zhong, and Q. Li, “IBE-Lite: a lightweight identity-based cryptography for body sensor networks,” IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 6, pp. 926-932, 2009.
Z. Zhang, H. Wang, A. V. Vasilakos, and H. Fang, “ECGcryptography and authentication in body area networks,” IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 6, pp. 1070-1078, 2012.
N. Zhao, A. Ren, M. U. Rehman, Z. Zhang, X. Yang, and F. Hu, “Biometric behavior authentication exploiting propagation characteristics of wireless channel,” IEEE Access, vol. 4, pp. 4789-4796, 2016.
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UCI(KEPA) : I410-ECN-0101-2020-569-000854039