An RSSI-based scheme for sybil attack detection in wireless sensor networks
By Murat Demirbas, Youngwhan Song. IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, 2006
424 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/c6dd315448e2d4804107dff3efe5f179c3e8535b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Rongxing Lu
- Xuemin Shen
- Daniel B. Faria
- Narayan B. Mandayam
- Wade Trappe
- Xiaohui Liang
- David R. Cheriton
- Larry J. Greenstein
Citations in the corpus
- Sybil Attacks and Their Defenses in the Internet of Things (2014, methodology): “In addition, the received signal strength (RSS) is also used to detect Sybil attackers in a static wireless network, such as wireless sensor networks [86], [87].”
- Detecting identity-based attacks in wireless networks using signalprints (2006, background): “have proposed the use of RSSI measurements from multiple sensors to detect sybil attacks in wireless sensor networks, where a node uses multiple identities [8].”
- Using the physical layer for wireless authentication in time-variant channels (2008, methodology): “A similar approach was considered for sensor networks in [15].”
- IoT security: Review, blockchain solutions, and open challenges (2017, background): “2 Low-level Sybil and spoofing attacks Network disruption, denial-ofservice Physical layer Low-level Signal strength measurements, and channel estimation [34, 35, 68, 69, 70]”