A randomized countermeasure against parasitic adversaries in wireless sensor networks
Due to their limited capabilities, wireless sensor nodes are subject to physical attacks that are hard to defend against. In this paper, we first identify a typical attacker, called parasitic adversary, who seeks to exploit sensor networks by obtaining measurements in an unauthorized way. As a count...
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sg-ntu-dr.10356-924402020-05-28T07:18:37Z A randomized countermeasure against parasitic adversaries in wireless sensor networks Luo, Jun. Panagiotis Papadimitratos. Hubaux, Jean-Pierre. School of Computer Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Due to their limited capabilities, wireless sensor nodes are subject to physical attacks that are hard to defend against. In this paper, we first identify a typical attacker, called parasitic adversary, who seeks to exploit sensor networks by obtaining measurements in an unauthorized way. As a countermeasure, we first employ a randomized key refreshing: with low communication cost, it aims at confining (but not eliminating) the effects of the adversary. Moreover, our low-complexity solution, GossiCrypt, leverages on the large scale of sensor networks to protect data confidentiality, efficiently and effectively. GossiCrypt applies symmetric key encryption to data at their source nodes; and it applies re-encryption at a randomly chosen subset of nodes en route to the sink. The combination of randomized key refreshing and GossiCrypt protects data confidentiality with a probability of almost 1; we show this analytically and with simulations. In addition, the energy consumption of GossiCrypt is lower than a public-key based solution by several orders of magnitude. Published version 2011-07-04T03:02:22Z 2019-12-06T18:23:19Z 2011-07-04T03:02:22Z 2019-12-06T18:23:19Z 2010 2010 Journal Article Luo, J., Panagiotis P., & Hubaux, J. P. (2010). A randomized countermeasure against parasitic adversaries in wireless sensor networks. IEEE Journal on selected areas in communications, 1-10. 0733-8716 https://hdl.handle.net/10356/92440 http://hdl.handle.net/10220/6842 10.1109/JSAC.2010.100908 150563 en IEEE Journal on selected areas in communications © 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. 10 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Luo, Jun. Panagiotis Papadimitratos. Hubaux, Jean-Pierre. A randomized countermeasure against parasitic adversaries in wireless sensor networks |
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Due to their limited capabilities, wireless sensor nodes are subject to physical attacks that are hard to defend against. In this paper, we first identify a typical attacker, called parasitic adversary, who seeks to exploit sensor networks by obtaining measurements in an unauthorized way. As a countermeasure, we first employ a randomized key refreshing: with low communication cost, it aims at confining (but not eliminating) the effects of the adversary. Moreover, our low-complexity solution, GossiCrypt, leverages on the large scale of sensor networks to protect data confidentiality, efficiently and effectively. GossiCrypt applies symmetric key encryption to data at their source nodes; and it applies re-encryption at a randomly chosen subset of nodes en route to the sink. The combination of randomized key refreshing and GossiCrypt protects data confidentiality with a probability of almost 1; we show this analytically and with simulations. In addition, the energy consumption of GossiCrypt is lower than a public-key based solution by several orders of magnitude. |
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School of Computer Engineering |
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School of Computer Engineering Luo, Jun. Panagiotis Papadimitratos. Hubaux, Jean-Pierre. |
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Article |
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Luo, Jun. Panagiotis Papadimitratos. Hubaux, Jean-Pierre. |
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Luo, Jun. |
title |
A randomized countermeasure against parasitic adversaries in wireless sensor networks |
title_short |
A randomized countermeasure against parasitic adversaries in wireless sensor networks |
title_full |
A randomized countermeasure against parasitic adversaries in wireless sensor networks |
title_fullStr |
A randomized countermeasure against parasitic adversaries in wireless sensor networks |
title_full_unstemmed |
A randomized countermeasure against parasitic adversaries in wireless sensor networks |
title_sort |
randomized countermeasure against parasitic adversaries in wireless sensor networks |
publishDate |
2011 |
url |
https://hdl.handle.net/10356/92440 http://hdl.handle.net/10220/6842 |
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1681056483090890752 |