Traffic inference in anonymous MANETs
Document Type
Conference Proceeding
Publication Date
8-5-2010
Abstract
The open wireless medium in a mobile ad-hoc network (MANET) enables malicious traffic analysis to dynamically infer the network traffic pattern in hostile environments. The disclosure of the traffic pattern and its changes is often devastating in a mission-critical MANET. A number of anonymous routing protocols have been recently proposed as an effective countermeasure against traffic analysis in MANETs. In this paper, we propose a novel traffic inference algorithm, called TIA, which enables a passive global adversary to accurately infer the traffic pattern in an anonymous MANET without compromising any node. As the first work of its kind, TIA works on existing on-demand anonymous MANET routing protocols. Detailed simulations show that TIA can infer the traffic pattern with an accuracy as high as 95%. Our results in this paper highlight the necessity for cross-layer designs to defend aMANET against traffic analysis. © 2010 IEEE.
Identifier
77955116087 (Scopus)
ISBN
[9781424471515]
Publication Title
Secon 2010 2010 7th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks
External Full Text Location
https://doi.org/10.1109/SECON.2010.5508207
Recommended Citation
Liu, Yunzhong; Zhang, Rui; Shi, Jing; and Zhang, Yanchao, "Traffic inference in anonymous MANETs" (2010). Faculty Publications. 6163.
https://digitalcommons.njit.edu/fac_pubs/6163
