| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| DM_TiagoFernandes_MEI_2023 | 1.65 MB | Adobe PDF |
Authors
Abstract(s)
As ferrovias inteligentes surgiram como soluções cruciais nas grandes cidades globais para enfrentar problemas como o grande volume de trânsito e a poluição ambiental. A integração de tecnologias avançadas possibilitou a transição de sistemas ferroviários tradicionais para alternativas altamente eficientes e personalizadas. No entanto, a complexidade destes sistemas introduz novos desafios, especialmente nas áreas de cibersegurança e privacidade. Dada a suscetibilidade dos sistemas ferroviários a ameaças cibernéticas, é imperativo que essas soluções inteligentes em ascensão estabeleçam medidas robustas de segurança e privacidade. Este trabalho aborda os desafios de cibersegurança de duas das principais tecnologias usadas nestes sistemas inteligentes: LoRaWAN e 5G, e propõe uma metodologia de testes de segurança e recomendações para mitigar estes desafios.
Smart trains and railways have emerged as pivotal solutions in major global cities to help tackle problems such as traffic congestion and environmental pollution. The integration of advanced technologies has enabled the transition from traditional railway systems to highly efficient, personalized alternatives. Nevertheless, the complexity of these smart systems introduces new challenges, particularly in the realms of security and privacy. Given the susceptibility of railway systems to cyber threats, it is imperative for these emerging smart solutions to establish robust security and privacy measures. This work addresses security challenges of two of the main technologies used in these smart systems: LoRaWAN and 5G and proposes a security testing methodology and mitigation recommendations in this context.
Smart trains and railways have emerged as pivotal solutions in major global cities to help tackle problems such as traffic congestion and environmental pollution. The integration of advanced technologies has enabled the transition from traditional railway systems to highly efficient, personalized alternatives. Nevertheless, the complexity of these smart systems introduces new challenges, particularly in the realms of security and privacy. Given the susceptibility of railway systems to cyber threats, it is imperative for these emerging smart solutions to establish robust security and privacy measures. This work addresses security challenges of two of the main technologies used in these smart systems: LoRaWAN and 5G and proposes a security testing methodology and mitigation recommendations in this context.
Description
Keywords
IoT Smart Railways Cybersecurity Cyber-attacks Cyber-threats 5G LoRaWAN LoRa