An Attacks Detection Mechanism for Intelligent Transport System

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorSchool of Computing-
Autor(es): dc.creatorPastori Valentini, Edivaldo [UNESP]-
Autor(es): dc.creatorIpolito Meneguette, Rodolfo-
Autor(es): dc.creatorAlsuhaim, Adil-
Data de aceite: dc.date.accessioned2022-02-22T00:46:20Z-
Data de disponibilização: dc.date.available2022-02-22T00:46:20Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-12-09-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/BigData50022.2020.9378309-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/206167-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/206167-
Descrição: dc.descriptionThe increase in computational technologies for means of transport, especially vehicles, has provided great benefits through Intelligent Transport Systems (ITS). Drivers, passengers, and pedestrians rely on computer applications that aim to protect human life, including agility in handling emergencies, improvements in traffic, and even leisure and entertainment resources. Communication and data exchange are from vehicles to vehicles (V2V) and from vehicles to road infrastructures (V2I) being carried out through the architecture of the vehicular ad hoc network (VANET). However, this type of network differs from traditional ones, as it operates in a highly dynamic environment, originated by the rapid mobility between its nodes and with short connection intervals. Wireless vehicle communication adopts the IEEE 802.11p standard, allowing vehicles to operate outside a basic set of services. Given these characteristics, numerous threats, vulnerabilities, and denial of service attacks can occur. Prioritizing the safety of life and protecting VANET against this type of attack, a security mechanism is proposed. The mechanism works to detect anomalies through a simple and robust statistical model in the search for extreme values (outliers). Median Absolute Deviation detects large amounts of MAC frames and ARP requests, characteristics of DoS / DDoS from malicious vehicles. Through extensive stages of simulations using the NS-3 and SUMO simulators, the mechanism showed excellent efficiency in detection rates and minimum rates of false positives and false negatives.-
Descrição: dc.descriptionPaulista State University - Unesp-
Descrição: dc.descriptionUniversity of Sao Paulo - Usp Institute of Mathematical and Computer Sciences - Icmc-
Descrição: dc.descriptionClemson University School of Computing-
Descrição: dc.descriptionPaulista State University - Unesp-
Formato: dc.format2453-2461-
Idioma: dc.languageen-
Relação: dc.relationProceedings - 2020 IEEE International Conference on Big Data, Big Data 2020-
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Palavras-chave: dc.subjectdenial of service-
Palavras-chave: dc.subjectinformation security-
Palavras-chave: dc.subjectIntelligent Transport Systems-
Palavras-chave: dc.subjectintrusion detection system-
Palavras-chave: dc.subjectVANET-
Título: dc.titleAn Attacks Detection Mechanism for Intelligent Transport System-
Aparece nas coleções:Repositório Institucional - Unesp

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