Asynchronous group key distribution on top of the cc2420 security mechanisms for sensor networks

Hansen, Morten Tranberg

doi:10.1145/1514274.1514277

Cited by 11 publications

(18 citation statements)

References 14 publications

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“…A similar evaluation of the security mechanisms applicable to CC2420 equipped TelosB node was presented in [13]. However, our results differ slightly, presumably due to different implementations.…”

Section: A Related Worksupporting

confidence: 60%

“…In contrast to [13], where the implementation is not available, our code can be found at SourceForge [14]. While [13] does not report the possible number of iterations for a measurement (if any), it uses the same methodology in the form of the microcontroller timer. Additionally, the paper does not report the source of or overall settings for the memory measurements.…”

Section: A Related Workmentioning

confidence: 99%

“…Additionally, the paper does not report the source of or overall settings for the memory measurements. Finally, our work highlights many subtle issues with various implementations while [13] focuses more on, from our point of view, unimportant details such as memory register addresses.…”

Section: A Related Workmentioning

confidence: 99%

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Using encryption for authentication: Wireless sensor network case

Jurnečka¹,

Matyáš²

2013

2013 IEEE International Conference on Sensing, Communications and Networking (SECON)

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In this paper we discuss the possibility of using encryption to provide authenticity and explore various options for using authentication primitives, namely MAC, to provide confidentiality in wireless sensor networks. We briefly discuss the theoretical background and focus more deeply on the performance questions. We have found and implemented a set of both encryption and MAC functions, measured the timings and memory requirements of these on a mainstream wireless sensor node. Our paper also brings a performance analysis of existing cryptographic implementations.

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Section: A Related Worksupporting

confidence: 60%

Section: A Related Workmentioning

confidence: 99%

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Using encryption for authentication: Wireless sensor network case

Jurnečka¹,

Matyáš²

2013

2013 IEEE International Conference on Sensing, Communications and Networking (SECON)

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“…Many works in WSNs set the default packet size to about 40 bytes [6], [7]. When the average number of hops from the source node to the sink is 10 and the length of node ID is 10, the average overhead is ( 10 i (1 + 10) · i)/10 = 42 bits = 8 bytes if we set k to 1.…”

Section: Discussionmentioning

confidence: 99%

Malicious Node Detection in Mobile Wireless Sensor Networks

Sei

Ohsuga

2015

Journal of Information Processing

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A compromised node in wireless sensor networks can be used to create false messages by generating them on their own or by falsifying legitimate messages received from other nodes. Because compromised nodes that create false messages can waste a considerable amount of network resources, we should detect them as early as possible. Existing studies for detecting such nodes can only be used in situations where sensor nodes do not move. However, it is possible that nodes move because of wind or other factors in real situations. We improve existing studies for detecting compromised nodes in mobile wireless sensor networks. In the proposed method, an agent exists on each node and it appends its ID and a k-bit code to an event message and the sink detects a compromised node by a statistical method. Our method can be used in static and dynamic environments. Simulations we conducted prove the effectiveness of our method.

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“…In this section we show how to use the Energy Bucket to compare the energy and time consumption of the CC2420 radio inline Counter and Cipher Block Chaining Message Authentication Code (CCM) mode security mechanism [18] to a similar software implementation 1 when used with packet transmission. It is known that the CC2420 inline CCM security mechanism will outperform a similar software implementation with relation to a time metric [19], but the fact that the radio could be turned off when doing the software security operation could favour it with relation to an energy metric.…”

Section: B Comparison: Cc2420 Vs Msp430 Ccm Securitymentioning

confidence: 99%

Energy Bucket: A Tool for Power Profiling and Debugging of Sensor Nodes

Andersen

Hansen

2009

2009 Third International Conference on Sensor Technologies and Applications

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The ability to precisely measure and compare energy consumption and relate this to particular parts of programs is a recurring theme in sensor network research. This paper presents the Energy Bucket, a low-cost tool designed for quick empirical measurements of energy consumptions across 5 decades of current draw. The Energy Bucket provides a light-weight state API for the target system, which facilitates easy scorekeeping of energy consumption between different parts of a target program. We demonstrate how this tool can be used to discover programming errors and debug sensor network applications. Furthermore, we show how this tool, together with the target system API, offers a very detailed analysis of where energy is spent in an application, which proves to be very useful when comparing alternative implementations or validating theoretical energy consumption models.

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Asynchronous group key distribution on top of the cc2420 security mechanisms for sensor networks

Cited by 11 publications

References 14 publications

Using encryption for authentication: Wireless sensor network case

Using encryption for authentication: Wireless sensor network case

Malicious Node Detection in Mobile Wireless Sensor Networks

Energy Bucket: A Tool for Power Profiling and Debugging of Sensor Nodes

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