Robust statistical methods for securing wireless localization in sensor networks
By Zang Li, Wade Trappe, Yanyong Zhang, B. Nath. IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005., 2005
513 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/a7fc98fc5d14cacf740447344431d6938984e1c9
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
- Kia Makki
- Niki Pissinou
- Kang K. Yen
- Xiangqian Chen
- Bryan Parno
- Nikolaos Gatsis
- Adrian Perrig
- Chia-Chin Chong
In Electrical and Electronic Engineering
- Zheng Yang
- Yunhao Liu
- Ismail Güvenç
- Chia-Chin Chong
- Kia Makki
- Nikolaos Gatsis
- Adrian Perrig
- Niki Pissinou
In Ocean Engineering
- Zheng Yang
- Yunhao Liu
- Kia Makki
- Nikolaos Gatsis
- Adrian Perrig
- Niki Pissinou
- Chia-Chin Chong
- David Akopian
Citations in the corpus
- Sensor network security: a survey (2009, methodology): “in [117] propose robust statistical methods in order to make two broad classes of localization including triangulation and RF-based fingerprinting attack-tolerant.”
- A survey on sensor localization (2010, background): “Although some research on security of localization schemes has been recently reported [ 48 , 49], the types of attacks and the related countermeasures are restricted to a few typical cases.”
- Location, Localization, and Localizability (2010, methodology): “One of the most commonly used high breakdown point (close to 50%) statistics algorithms is the method of least median of squares (LMS), which is adopted in [66].”
- A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques (2009, methodology): “The location estimate of the MT using the LMS solution is given by [37]”
- Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, methodology): “Median filtering has also been used to improve the robustness of the NN method to unusual fingerprint readings [82].”
- Challenges in Securing Vehicular Networks (2005, background): “protocols that have been proposed for secure localization in sensor networks [5, 12, 13, 14, 15] to this new setting.”
- Redpin - adaptive, zero-configuration indoor localization through user collaboration (2008, background): “In addition, a lot of effort was spent on finding accurate and robust algorithms to select a known fingerprint given a current RSS measurement, for example [9, 16, 17, 21, 23] .”