Secure distribution of neural networks in wireless sensor networks
- Authors
- Yoon, Joo Seung; Kim, Hee Moon; Lee, Gil Ju; Kim, Il Hee; Park, Yongsu
- Issue Date
- Oct-2007
- Publisher
- IJSIA
- Citation
- International Journal of Security and its Applications, v.1, no.2, pp.1 - 8
- Indexed
- SCOPUS
- Journal Title
- International Journal of Security and its Applications
- Volume
- 1
- Number
- 2
- Start Page
- 1
- End Page
- 8
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179474
- ISSN
- 1738-9976
- Abstract
- 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.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179474)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.