@inproceedings{4c2f59dcef6c4643a6b45fe6d10b6c6d,
title = "Using data aggregation to prevent traffic analysis in wireless sensor networks",
abstract = "When communication in sensor networks occurs over wireless links, confidential information about the communication patterns between sensor nodes could be leaked even when encryption is used to protect the actual contents of the messages. The communication patterns, which often reveal higher volumes of traffic near the sink, could allow an attacker to identify the vicinity of the sink node. With this information, an attacker could potentially disable the network by destroying the sink. In this paper, we present the decoy sink protocol, which protects the location of the sink in target tracking sensor network applications by forwarding data to a decoy sink for aggregation before the aggregated data is forwarded to the real sink from the decoy sink. Combining indirection and data aggregation in our protocol creates more traffic away from the sink and reduces the amount of traffic near the sink, which makes traffic analysis more difficult for attackers.",
keywords = "Data aggregation, Sensor networks, Traffic analysis prevention",
author = "William Conner and Tarek Abdelzaher and Klara Nahrstedt",
year = "2006",
doi = "10.1007/11776178_13",
language = "English (US)",
isbn = "3540352279",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "202--217",
booktitle = "Distributed Computing in Sensor Systems - Second IEEE International Conference, DCOSS 2006, Proceedings",
address = "Germany",
note = "2nd IEEE International Conference - Distributed Computing in Sensor Systems, DCOSS 2006 ; Conference date: 18-06-2006 Through 20-06-2006",
}