By Topic

Location Privacy against Traffic Analysis Attacks in Wireless Sensor Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xi Luo ; Dept. of Comput. Sci. & Eng., Korea Univ., Seoul, South Korea ; Xu Ji ; Myong-Soon Park

Traffic analysis attacks are passive attacks that try to deduce the traffic pattern based on the eavesdropped information. Through analyzing the packet traffic, it can deduce the location of strategic nodes, and then launch an active attack to those locations, such as DoS attack. Therefore, defending against a traffic analysis attack is to prevent the adversary from tracing the location of critical sensor nodes. Due to the open wireless communication media exposing the context information to adversaries, we cannot use traditional encryption and authentication to prevent the adversaries from eavesdropping on the wireless communication. In this paper, we propose three schemes to defend against the traffic analysis attacks. Firstly, a random routing scheme (RRS) is proposed to provide path diversity. Secondly, we combine RRS with a dummy packet injection scheme (DPIS) to confuse the adversary by tracing or tracing back the forwarded packet to reach the receiver or source. Finally, an anonymous communication scheme (ACS) is proposed to hide the identities of all nodes that participate in packets transmission. Through security analysis and simulation, we can see that our proposed schemes can efficiently defend against traffic analysis attacks, take less delivery time and achieve uniform energy consumption.

Published in:

Information Science and Applications (ICISA), 2010 International Conference on

Date of Conference:

21-23 April 2010