Addressing Cybersecurity in the Next Generation Mobility Ecosystem with CARAMEL

Argyropoulos, N. G.; Khodashenas, Pouria Sayyad; Mavropoulos, Orestis; Karapistoli, Eirini; Lytos, Anastasios; Karypidis, Paris Alexandros; Hofmann, Klaus-Peter

doi:10.1016/j.trpro.2021.01.036

Cited by 8 publications

(2 citation statements)

References 3 publications

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“…Analysis of the false positives revealed that most came from unusual but legitimate behaviors, such as large data transfers between departments or single applications. False negatives were mainly related to very sophisticated attacks or evasion techniques that went unnoticed initially ( Argyropoulos et al, 2021 ).…”

Section: Resultsmentioning

confidence: 99%

CyberEduPlatform: an educational tool to improve cybersecurity through anomaly detection with Artificial Intelligence

Ortiz-Garcés,

Govea,

Sánchez-Viteri

et al. 2024

PeerJ Computer Science

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Cybersecurity has become a central concern in the contemporary digital era due to the exponential increase in cyber threats. These threats, ranging from simple malware to advanced persistent attacks, put individuals and organizations at risk. This study explores the potential of artificial intelligence to detect anomalies in network traffic in a university environment. The effectiveness of automatic detection of unconventional activities was evaluated through extensive simulations and advanced artificial intelligence models. In addition, the importance of cybersecurity awareness and education is highlighted, introducing CyberEduPlatform, a tool designed to improve users’ cyber awareness. The results indicate that, while AI models show high precision in detecting anomalies, complementary education and awareness play a crucial role in fortifying the first lines of defense against cyber threats. This research highlights the need for an integrated approach to cybersecurity, combining advanced technological solutions with robust educational strategies.

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Section: Resultsmentioning

confidence: 99%

CyberEduPlatform: an educational tool to improve cybersecurity through anomaly detection with Artificial Intelligence

Ortiz-Garcés,

Govea,

Sánchez-Viteri

et al. 2024

PeerJ Computer Science

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“…Security approaches based on AI have been lately identified as key enablers for many safety-critical applications in nextgeneration wireless networks [310]. Recent breakthroughs in AI-based security are continuously gaining momentum, delivering actionable results for safer and smarter V2X cybersecurity systems [67], [311], [312].…”

Section: Artificial Intelligence In V2x Securitymentioning

confidence: 99%

A Comprehensive Survey of V2X Cybersecurity Mechanisms and Future Research Paths

Sedar

Kalalas

Vázquez-Gallego

et al. 2023

IEEE Open J. Commun. Soc.

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Recent advancements in vehicle-to-everything (V2X) communication have notably improved existing transport systems by enabling increased connectivity and driving autonomy levels. The remarkable benefits of V2X connectivity come inadvertently with challenges which involve security vulnerabilities and breaches. Addressing security concerns is essential for seamless and safe operation of mission-critical V2X use cases. This paper surveys current literature on V2X security and provides a systematic and comprehensive review of the most relevant security enhancements to date. An in-depth classification of V2X attacks is first performed according to key security and privacy requirements. Our methodology resumes with a taxonomy of security mechanisms based on their proactive/reactive defensive approach, which helps identify strengths and limitations of state-of-the-art countermeasures for V2X attacks. In addition, this paper delves into the potential of emerging security approaches leveraging artificial intelligence tools to meet security objectives. Promising data-driven solutions tailored to tackle security, privacy and trust issues are thoroughly discussed along with new threat vectors introduced inevitably by these enablers. The lessons learned from the detailed review of existing works are also compiled and highlighted. We conclude this survey with a structured synthesis of open challenges and future research directions to foster contributions in this prominent field.

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Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions towards automation, intelligence and transparent cybersecurity modeling for critical infrastructures

Sarker,

Janicke,

Ferrag

et al. 2024

Internet of Things

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Addressing Cybersecurity in the Next Generation Mobility Ecosystem with CARAMEL

Cited by 8 publications

References 3 publications

CyberEduPlatform: an educational tool to improve cybersecurity through anomaly detection with Artificial Intelligence

CyberEduPlatform: an educational tool to improve cybersecurity through anomaly detection with Artificial Intelligence

A Comprehensive Survey of V2X Cybersecurity Mechanisms and Future Research Paths

Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions towards automation, intelligence and transparent cybersecurity modeling for critical infrastructures

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