Earticle

초록

영어

In this paper we consider the case where artificial neural network processing is securely
performed over the wireless sensor network. To do this, we point out major security threats
and countermeasures against them. Then, we revised Holenderski et al.’s decomposition
model to support secure computing. Moreover, we refine the original model to deal with some
boundary cases. The revised model shows that like the original model the horizontal
decomposition is better than the vertical decomposition and that the number of the allocated
lower neurons in each layer to each sensor node should be large for optimization.

목차

Abstract
 1. Introduction
 2. Summary of M. Holdenderski et al.’s work [4]
 3. Security aspects in distributed learning of ANN in the sensor network
  3.1. Classification of adversaries
 4. Refinement of the M. Holdenderski et al.’s model
  4.1. Refined version of M. Holdenderski et al.’s model
  4.2. Security enhancement
 5. Acknowledgment
 6. Conclusion
 7. Reference

저자

• Joo Seung Yoon [ The College of Information and Communications, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, Korea ]
• Hee Moon Kim [ The College of Information and Communications, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, Korea ]
• Gil Ju Lee [ The College of Information and Communications, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, Korea ]
• Il Hee Kim [ The College of Information and Communications, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, Korea ]
• Yongsu Park [ The College of Information and Communications, Hanyang University, 17 Haengdang-dong, Seongdong-gu, Seoul 133-791, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605