TY - GEN
T1 - A statistical traffic pattern discovery system for manets
AU - Qin, Yang
AU - Huang, Dijiang
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Anonymous MANET routing relies on techniques such as re-encryption on each hop to hide end-to-end communication relations. However, passive signal detectors and traffic analyzers can still retrieve sensitive information from PHY and MAC layers through statistical traffic analysis. In this paper, we propose a statistical traffic pattern discovery (STPD) system. STPD intends to find out the sources and destinations of captured packets and discover the end-to-end communication relations. The proposed approach does not require analyzers to be actively involved in MANET transmissions or to decrypt the traffic. We present theoretical models as well as extensive simulations to demonstrate our solutions.
AB - Anonymous MANET routing relies on techniques such as re-encryption on each hop to hide end-to-end communication relations. However, passive signal detectors and traffic analyzers can still retrieve sensitive information from PHY and MAC layers through statistical traffic analysis. In this paper, we propose a statistical traffic pattern discovery (STPD) system. STPD intends to find out the sources and destinations of captured packets and discover the end-to-end communication relations. The proposed approach does not require analyzers to be actively involved in MANET transmissions or to decrypt the traffic. We present theoretical models as well as extensive simulations to demonstrate our solutions.
UR - http://www.scopus.com/inward/record.url?scp=77951469430&partnerID=8YFLogxK
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U2 - 10.1109/MILCOM.2009.5379964
DO - 10.1109/MILCOM.2009.5379964
M3 - Conference contribution
AN - SCOPUS:77951469430
SN - 9781424452385
T3 - Proceedings - IEEE Military Communications Conference MILCOM
BT - MILCOM 2009 - 2009 IEEE Military Communications Conference
T2 - 2009 IEEE Military Communications Conference, MILCOM 2009
Y2 - 18 October 2009 through 21 October 2009
ER -