AMOEBA: Robust Location Privacy Scheme for VANET
By Krishna Sampigethaya, Mingyan Li, Leping Huang, Radha Poovendran. IEEE Journal on Selected Areas in Communications, 2007
426 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/7d8465d7ccfb3a15dd8ecabd3d9b07fd1dc9efbd
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In Artificial Intelligence
- Rongxing Lu
- Xiaodong Lin
- Xuemin Shen
- Chenxi Zhang
- Pin-Han Ho
- Frank Kargl
- Jonathan Petit
- Michael Feiri
In Computer Networks and Communications
- Rongxing Lu
- Xiaodong Lin
- Xuemin Shen
- Chenxi Zhang
- Pin-Han Ho
- Samuel Pierre
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- Hannes Hartenstein
In Electrical and Electronic Engineering
- Rongxing Lu
- Xuemin Shen
- Xiaodong Lin
- Chenxi Zhang
- Pin-Han Ho
- Alejandro Quintero
- Samuel Pierre
- Frank Kargl
Citations in the corpus
- VANET security surveys (2014, background): “These features facilitate communication between cars so that the information gathered in a car could be shared, on a voluntary basis or not [79].”
- An Efficient Pseudonymous Authentication Scheme With Strong Privacy Preservation for Vehicular Communications (2010, background): “Hence, to strengthen the location privacy, some studies [18]–[20] suggest constructing certain regions where the adversary cannot eavesdrop the vehicular communication, called mix zones.”
- RAISE: An Efficient RSU-Aided Message Authentication Scheme in Vehicular Communication Networks (2008, background): “Freudiger et al . in [9] and Sampigethava et al. in [10] respectively proposed location persevering schemes.”
- A tutorial survey on vehicular ad hoc networks (2008, background): “In [ 17 ], various additional ideas to mitigate unauthorized tracking such as random silent periods, hiding in groups, or the use of power control are discussed and assessed.”
- Pseudonym Schemes in Vehicular Networks: A Survey (2015, methodology): “size of the anonymity set [53]–[55], the entropy [44], [56]–[58], and the adversary’s tracking uncertainty [46], [59]–[61] (see”