Intelligent analytics algorithms in breach detection systems for securing VANETs and data for smart transportation management

Bhuvana, J; Hashmi, Hina; Adhvaryu, Rachit; Kashyap, Sneha; Kumari, Savita; Wadhwa, Durgesh

doi:10.1007/s00500-023-08399-z

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…16 This classification empowers IoV networks to dynamically adapt their security measures, isolating or filtering out potentially harmful messages and ensuring that only trusted information is disseminated. 17 The implications of ML-based threat classification extend beyond immediate threat detection. It enables the IoV ecosystem to evolve from conventional rule-based security to a more adaptive and resilient paradigm.…”

Section: Introductionmentioning

confidence: 99%

Secure and lightweight message dissemination framework for internet of vehicles

Bodkhe,

Tanwar

2024

Security and Privacy

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The Internet of Vehicles (IoV) revolutionizes vehicle communication in dynamic networks. Message dissemination in IoV involves sharing critical information for the safety and convenience of the IoV network. It is very crucial to secure message dissemination due to potential cyber‐attacks, traffic disruptions, and privacy breaches. Data integrity, authentication, and privacy are vital to maintaining trust and safety in the IoV network. This network consists of resource‐constrained IoV devices with limited resources due to the availability of embedded components in vehicular systems. Therefore, optimizing algorithms and protocols is crucial for efficient vehicle‐to‐everything (V2X) communication, enhancing safety and transportation efficiency. Solutions often include lightweight protocols and secure message exchange. This paper proposes a machine learning (ML) based secure and lightweight message dissemination framework for resource‐constrained IoV. First, we present an ML‐based threat classification model capable of effectively categorizing adversarial and nonadversarial data streams and delivering an optimized model with superior accuracy. Furthermore, we also propose a secure message dissemination scheme using lightweight cryptographic primitives, which significantly reduces computational, communication, and energy overhead. To validate the robustness of our proposed ML‐based secure and lightweight message dissemination framework, we evaluate it using various security parameters and performance measures such as computation cost, communication cost, energy cost, accuracy, precision, recall, and F1‐score. Our contributions promise to significantly enhance the security and efficiency of message dissemination in IoV environments and advance lightweight, secure, and reliable transportation systems for the future.

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Section: Introductionmentioning

confidence: 99%

Secure and lightweight message dissemination framework for internet of vehicles

Bodkhe,

Tanwar

2024

Security and Privacy

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The Intelligent Mechanism for Data Collection and Data Mining in the Vehicular Ad-Hoc Networks (VANETs) Based on Big-Data-Driven

Mahmoudian

Zanjani

Shahinzadeh

et al. 2023

2023 5th Global Power, Energy and Communication Conference (GPECOM)

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Risk Management and Cybersecurity in Transportation and Warehousing

Khan,

Jhanjhi,

Omar

et al. 2023

Cybersecurity Measures for Logistics Industry Framework

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Transportation and warehousing are vital components of logistics corporations. Their continuous uninterrupted functioning is of paramount significance for the enterprises involved in the supply chain. As these enterprises are built and rely heavily on digital technologies for their rapid functioning, they are vulnerable to cybersecurity threats and attacks. Hence, to effectively address and promptly respond to these issues organizations need to have proper strategy and planning in place. This chapter endeavors to acquaint readers with these pressing issues. To secure warehousing operations and transportation systems, the methods and tools for assessing the risks and mitigating them are discussed comprehensively.

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Intelligent analytics algorithms in breach detection systems for securing VANETs and data for smart transportation management

Cited by 3 publications

References 20 publications

Secure and lightweight message dissemination framework for internet of vehicles

Secure and lightweight message dissemination framework for internet of vehicles

The Intelligent Mechanism for Data Collection and Data Mining in the Vehicular Ad-Hoc Networks (VANETs) Based on Big-Data-Driven

Risk Management and Cybersecurity in Transportation and Warehousing

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