Proactive trust management system (PTMS) for trusted querying in wireless sensor networks
Autor: | Bao-Hong Shen, Harish Chandra, Joseph Yadegar, Abhishek Tiwari, Mani Srivastava, Shuli Xu, Zvi Topol, Jahn A. Luke |
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Rok vydání: | 2009 |
Předmět: |
Computer science
Wireless network business.industry Sun SPOT Intrusion detection system Key distribution in wireless sensor networks Sensor node Embedded system Mobile wireless sensor network Trust management (information system) Wireless Anomaly detection business Wireless sensor network Computer network |
Zdroj: | Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing. |
ISSN: | 0277-786X |
DOI: | 10.1117/12.820309 |
Popis: | Wireless Sensor Networks (WSNs) are systems that may contain hundreds to thousands of low-power and low-cost sensor nodes. The potential applicability of such systems is enormous; security surveillance and intrusion detection systems for smart buildings and military bases, monitoring chemical plants for safety, wireless body area networks for first responders, and monitoring habitats and natural environments for scientific and other purposes, among others. As sensor network technology matures, we expect to witness an increasing number of such systems deployed in the real world. This renders sensor networks more accessible to a wide variety of possible attacks and functional faults, as they are deployed in remote, un-trusted, hostile environments. While different basic cryptographic building blocks and hardened hardware architectures for most sensor network platforms are currently available and allow for protection on a single sensor node basis, such building blocks are not effective in preventing wider scale attacks once a node has been compromised. To this end, UtopiaCompression is proposing Proactive Trust Management System (PTMS) for WSNs. Our solution is based on an easily extensible framework, tailored to deal with the resource constrained WSNs, and uses a combination of novel outlier detection mechanisms and trust management algorithms to effectively cope with common sensor faults and network attack models. Moreover, our solution is based on distributed in-network processing, which significantly improves scalability and extends life time of the system. This paper also discusses the implementation and evaluation of our solution on Sun SPOT sensors. |
Databáze: | OpenAIRE |
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