Username   Password       Forgot your password?  Forgot your username? 


Volume 14 - 2018

No.1 January 2018
No.1 January 2018

Volume 13 - 2017

No.4 July 2017
No.4 July 2017
No.5 September 2017
No.5 September 2017
No.7 November 2017
No.7 November 2017
No.8 December 2017
No.8 December 2017

Volume 12 - 2016

Volume 11 - 2015

Volume 10 - 2014

Volume 9 - 2013

Volume 8 - 2012

Volume 7 - 2011

Volume 6 - 2010

Volume 5 - 2009

Volume 4 - 2008

Volume 3 - 2007

Volume 2 - 2006

Survivable Data Transmission via Selective Hybrid Cipher in Sensor Networks

Volume 7, Number 4, July 2011 - Paper 1 - pp. 303-312


Electrical and Computer Engineering Department, University of Massachusetts
Dartmouth, 285 Old Westport Rd., Dartmouth, MA, 02747, USA

(Received on April 29, 2010, revised on April 5, 2011)


In wireless sensor networks (WSN), data packets being sent over wireless environments could get corrupted or compromised due to channel noises or malicious attacks. Using traditional full encryption to secure the transmitted data is costly and even not practical for WSN due to the inherent resource-constrained nature of sensor nodes. Selective encryption (SE) that encrypts part of the data can greatly reduce the computational overhead for huge volumes of data in low-power networks. Encrypted data is more sensitive to transmission errors; therefore, additional error correction capability is required to efficiently recover the lost/erroneous encrypted information. In this paper, we propose a new Selective Hybrid Cipher-based mechanism, which integrates AES-based SE and Forward Error Correction codes to achieve both secure and reliable data transmission in WSN. Performance of the proposed mechanism is evaluated using simulations, and is compared with that of the traditional SE-based and full encryption-based mechanisms.


References: 23

Click here to download the paper.

Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader



Prev Next

Big Data Storage and Parallel Analysis of Grid Equipment Monitoring System

Xiaoming Zhou, Anlong Su, Guanghan Li, Weiqi Gao, Chunhua Lin, Shidong Zhu, Zhenliu Zhou

Read more

A Novel Image Retrieval Method with Saliency Feature Vector

Junfeng Wu, Wenyu Qu, Zhiyang Li, Changqing Ji

Read more

A Survey on Set Similarity Search and Join

Lianyin Jia, Lulu Zhang, Guoxian Yu, Jinguo You, Jiaman Ding, Mengjuan Li

Read more

A Numerical Simulation of Deepwater Riser’s FSI based on MLPG

Jianping Chen, Jie Xu, Litao Wang, Xinen Chen, You Gong

Read more

Intelligent Identification of Ocean Parameters based on RBF Neural Networks

Li Yuan, Wei Wu, Chuan Tian, Wei Song, Xinghui Cao, Lixin Liu

Read more

A Visual Cryptography Scheme-Based DNA Microarrays

Xuncai Zhang, Zheng Zhou, Yangyang Jiao, Ying Niu, Yanfeng Wang

Read more

Inferring Gender of Micro-Blog Users based on Multi-Classifiers Fusion

Jinghua Zheng, Shize Guo, Liang Gao, Di Xue, Nan Zhao, Huimin Ma

Read more
This site uses encryption for transmitting your passwords.