Dong Luo
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Dong Luo has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Baowei Wang
Nanjing University of Information Science and Technology
1 shared publication - Jiyu Yang
Department of Cardiovascular Medicine, Xining First People’s Hospital, Xining 810000, P. R. China
1 shared publication Parmesh Verma
1 shared publicationXiangrong Xiao
Sch. of Comput. & Commun., Hunan Univ., Changsha, China
1 shared publicationXiaoliang Wang
1 shared publicationXingming Sun
Sch. of Comput. & Commun., Hunan Univ., Changsha, China
1 shared publication
Latest Publications
- 1 January 2010
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 21597006,p. 1-6
Bloom Filter-Based Data Hiding Algorithm in Wireless Sensor Networks
Sensor networks hold the promise of facilitating large-scale and real-time data processing in complex environments. Data security is an extremely crucial issue for many sensor network applications. Data hiding technique, which is considered less consumptive than cryptology, is introduced to guarantee the security of the sensitive data in wireless sensor networks. However, the low invisibility of such schemes has always been the most fatal weaknesses. In this paper, we propose an innovative data hiding method. Sensitive data are uniformly and randomly embedded into the ordinary data by using the space-efficient randomized data structure characteristic of Bloom Filter. Full embedding and simple fixed embedding laws are avoided. Any intermediate nodes of the network and eavesdroppers are more difficult to detect the existence of sensitive data. Experimental results and performance analysis demonstrate that the proposed scheme can efficiently protect the sensitive data, without affecting the transmission and usability of the ordinary data. At the same time, this method also has little additional energy consumption.
- 1 January 2010
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 21597006,p. 1-6
Bloom Filter-Based Data Hiding Algorithm in Wireless Sensor Networks
Sensor networks hold the promise of facilitating large-scale and real-time data processing in complex environments. Data security is an extremely crucial issue for many sensor network applications. Data hiding technique, which is considered less consumptive than cryptology, is introduced to guarantee the security of the sensitive data in wireless sensor networks. However, the low invisibility of such schemes has always been the most fatal weaknesses. In this paper, we propose an innovative data hiding method. Sensitive data are uniformly and randomly embedded into the ordinary data by using the space-efficient randomized data structure characteristic of Bloom Filter. Full embedding and simple fixed embedding laws are avoided. Any intermediate nodes of the network and eavesdroppers are more difficult to detect the existence of sensitive data. Experimental results and performance analysis demonstrate that the proposed scheme can efficiently protect the sensitive data, without affecting the transmission and usability of the ordinary data. At the same time, this method also has little additional energy consumption.