TY - JOUR
T1 - Energy-Memory-Security Tradeoffs in Distributed Sensor Networks
AU - Hwang, David D.
AU - Lai, Bo-Cheng
AU - Verbauwhede, Ingrid
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Security for sensor networks is challenging due to the resource-constrained nature of individual nodes, particularly their energy limitations. However, designing merely for energy savings may not result in a suitable security architecture. This paper investigates the inherent tradeoffs involved between energy, memory, and security robustness in distributed sensor networks. As a driver for the investigation, we introduce an energy-scalable key establishment protocol called cluster key grouping, which takes into account resource limitations in sensor nodes. We then define a metric (the security leakage factor) to quantify security robustness in a system. Finally, a framework called the security-memoryenergy (SME) curve is presented that is used to evaluate and quantify the multi-metric tradeoffs involved in security design.
AB - Security for sensor networks is challenging due to the resource-constrained nature of individual nodes, particularly their energy limitations. However, designing merely for energy savings may not result in a suitable security architecture. This paper investigates the inherent tradeoffs involved between energy, memory, and security robustness in distributed sensor networks. As a driver for the investigation, we introduce an energy-scalable key establishment protocol called cluster key grouping, which takes into account resource limitations in sensor nodes. We then define a metric (the security leakage factor) to quantify security robustness in a system. Finally, a framework called the security-memoryenergy (SME) curve is presented that is used to evaluate and quantify the multi-metric tradeoffs involved in security design.
UR - http://www.scopus.com/inward/record.url?scp=34250334357&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-28634-9_6
DO - 10.1007/978-3-540-28634-9_6
M3 - Article
AN - SCOPUS:34250334357
SN - 0302-9743
VL - 3158
SP - 70
EP - 81
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -