2011
DOI: 10.1002/nem.794
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QoS‐aware and compromise‐resilient key management scheme for heterogeneous wireless Internet of Things

Abstract: SUMMARYThe Internet of Things (IOT) is envisioned as a natural evolution of the Internet, promising to enable ubiquitous connections for pervasive objects. The evolutionary merging of heterogeneous wireless networks is inevitable for smooth migration to IOT; for example, in a typical application of IOT-smart homes-there exist sensor-radio frequency identification (RFID) hybrid networks. The communication security between sensor (or RFID tags) and home control center is critical, whereas an appropriate key mana… Show more

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Cited by 25 publications
(15 citation statements)
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References 19 publications
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“…Ren [24] proposed a key management scheme for heterogeneous wireless IoT systems. Zhou and Chao [28] proposed a media-aware traffic security architecture for IoT.…”
Section: Related Workmentioning
confidence: 99%
“…Ren [24] proposed a key management scheme for heterogeneous wireless IoT systems. Zhou and Chao [28] proposed a media-aware traffic security architecture for IoT.…”
Section: Related Workmentioning
confidence: 99%
“…Security has drawn the attention in IoT research [14,15,34,35,42]. Roman et al [35] discussed threats to IoT, such as compromising botnets trying to hinder services and the domino effect between intertwined services and user profiling.…”
Section: Related Workmentioning
confidence: 99%
“…Using a scalable storage management strategy the authors proposed a scalable trust management protocol [5] to solve the scalability issue of social IoT. A key management scheme that contains the key agreement and forward and backward secure key evolution policy is proposed by W. Ren [6] for heterogeneous IoT frameworks. A Quality of Service (QoS) enhancement is designed by the authors.…”
Section: Related Workmentioning
confidence: 99%
“…A trust management protocol for SOA-based IoT frameworks is proposed by F.Bao, I.R. Chen and J. Guo [6]. To select the trust feedback from nodes sharing common interests a distributed collaborative filtering method is used.…”
Section: Related Workmentioning
confidence: 99%