Evolving Trust Formula to Evaluate Data Trustworthiness in VANETs Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Aslan:2019:evoapplications,

• author = "Mehmet Aslan and Sevil Sen",
• title = "Evolving Trust Formula to Evaluate Data Trustworthiness in {VANETs} Using Genetic Programming",
• booktitle = "22nd International Conference, EvoApplications 2019",
• year = "2019",
• month = "24-26 " # apr,
• editor = "Paul Kaufmann and Pedro A. Castillo",
• series = "LNCS",
• volume = "11454",
• publisher = "Springer Verlag",
• address = "Leipzig, Germany",
• pages = "413--429",
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Evolutionary computation, Trust management, Data trust, Vehicular Ad Hoc Networks, VANETs",
• isbn13 = "978-3-030-16691-5",
• URL = "https://web.cs.hacettepe.edu.tr/~ssen/files/papers/EvoStar19-1.pdf",
• DOI = "doi:10.1007/978-3-030-16692-2_28",
• size = "16 pages",
• abstract = "Vehicular Ad Hoc Networks (VANETs) provide traffic safety, improve traffic efficiency and present infotainment by sending messages about events on the road. Trust is widely used to distinguish genuine messages from fake ones. However, trust management in VANETs is a challenging area due to their dynamically changing and decentralized topology. In this study, a genetic programming based trust management model for VANETs is proposed to properly evaluate trustworthiness of data about events. A large number of features is introduced in order to take into account VANETs complex characteristics. Simulations with bogus information attack scenarios show that the proposed trust model considerably increase the security of the network.",
• notes = "http://www.evostar.org/2019/cfp_evoapps.php EuroGP'2019 held in conjunction with EvoCOP2019, EvoMusArt2019 and EvoApplications2019",

}

Genetic Programming entries for Mehmet Aslan Sevil Sen

Citations