Authentication Protocol for Intelligent Cars using Fog Computing and Software-Defined Networking

Mihăilescu, Marius Iulian; Nita, Stefania Loredana; Rogobete, Marius

doi:10.1109/ecai52376.2021.9515071

Cited by 6 publications

(6 citation statements)

References 41 publications

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“…It is divided into three stages: the initialization stage, the registration stage, and the authentication stage. It is extremely computationally efficient, and upon the completion of the authentication process, a session key is established that will be utilized for subsequent communication 8 . However, this system does not protect user identity.…”

Section: Related Workmentioning

confidence: 99%

“…A malicious fog server might pose as a trustworthy fog server and appear to be a fog user in order to connect to the fog 7–9 . Once linked, it may control both incoming and outgoing requests to the cloud, gather user data and so forth.…”

Section: Introductionmentioning

confidence: 99%

“…It is extremely computationally efficient, and upon the completion of the authentication process, a session key is established that will be utilized for subsequent communication. 8 However, this system does not protect user identity. The identification of the fog user is sent over a public channel during the mutual authentication step.…”

mentioning

confidence: 99%

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FogSec: A secure and effective mutual authentication scheme for fog computing

Raja Sree,

Harish,

Veni

2024

Concurrency and Computation

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SummaryAs opposed to cloud servers, fog servers, and fog users may be malicious, so developing a mutual identity‐preserving authentication mechanism between them is a crucial and difficult problem in fog computing. Such a technique must conceal the user's true identity from the adversary; otherwise, the adversary will be able to determine which fog user and fog server are in communication. This article suggests a secure and reliable anonymous mutual authentication system for use at the network's edge between fog users and fog servers. With the aid of the registration authority (RA) in our system, they can verify one another and decide on a new session key that will be used to encrypt messages throughout the session. Fog users don't need to re‐register with RA to wander freely over the network and authenticate to any fog server that is within their range. The proposed technique only needs a small number of symmetric encryption/decryption and one‐way hash functions, making it easy to implement for fog‐user devices with limited resources. The new scheme's performance is evaluated in comparison to the existing one, showing that it is more resilient to various types of assaults (such as known plaintext attacks, man‐in‐the‐middle attacks, session hijacking, etc.). The widely used Automated Validation of Internet Security Protocols and Applications tool is used to verify the proposed system. The outcomes demonstrate that our approach can safely withstand different attacks and accomplish the desired outcomes. Additionally, the proposed method is tested in real‐world scenarios with the NS3 simulator.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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FogSec: A secure and effective mutual authentication scheme for fog computing

Raja Sree,

Harish,

Veni

2024

Concurrency and Computation

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“…This comprehensive scenario for the implementation of the Internet of Things (IoT) in the Intelligent Transportation System (ITS) is provided by the Internet of Things (IoT) in the Intelligent Transportation System (ITS). Certain communication protocol standards, such as the IEEE 80211p WAVE standard or cellular data protocols [35], are adhered to throughout the process of exchanging information. Interfaces to WiFi or cellular networks (GSM, HSDPA, LTE, or 5G are projected to be built on a significant scale) and other shortrange communication technologies are often included in typical car connection systems [36].…”

Section: Vehicle Connection Technologiesmentioning

confidence: 99%

Turkey’s Domestic Car TOGG in the Framework of New Trends in Electric Vehicles and Consumer Ethnocentrism

ŞENYAPAR

Tür

2023

Balkan Journal of Electrical and Computer Engineering

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Rising energy demands, and technological requirements are causing the world to focus more and more on Electric Vehicles (EVs). Developing technologies for these needs accelerate the development of smart and sustainable transportation and builds smart cities of the future. In this context, Turkey’s Automobile Enterprise Group, known as TOGG, was established in Turkey in 2018 with six partners and joined the EV market. In this study, new trends and emerging EV technologies such as wireless charging, smart power distribution, vehicle-to-home and vehicle-to-grid systems, connected vehicles, and autonomous driving for EVs are compared with TOGG technology; and its potential effects on the market are evaluated within the framework of consumer ethnocentrism. It also provides perspectives and recommendations for future smart transportation to serve as a guide for the future technological development and commercialization of EVs

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“…When the vehicle is connected to the network, it has access to numerous cloud information services, such as instant emergency calls, real-time navigation, and media amusement, as exhibited in Figure 7. As the communication gateway, the global vehicular ID (GID) terminal is undoubtedly the technological key of the CV [86]. With integrated information sensors, the network communication module, and global online identification (an "online vehicle plate"), it allows the vehicle to have worldwide network connectivity and global positioning and tracking capabilities [87].…”

Section: Technologiesmentioning

confidence: 99%

Trends and Emerging Technologies for the Development of Electric Vehicles

Liu

Lau

et al. 2022

Energies

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In response to severe environmental and energy crises, the world is increasingly focusing on electric vehicles (EVs) and related emerging technologies. Emerging technologies for EVs have great potential to accelerate the development of smart and sustainable transportation and help build future smart cities. This paper reviews new trends and emerging EV technologies, including wireless charging, smart power distribution, vehicle-to-home (V2H) and vehicle-to-grid (V2G) systems, connected vehicles, and autonomous driving. The opportunities, challenges, and prospects for emerging EV technologies are systematically discussed. The successful commercialization development cases of emerging EV technologies worldwide are provided. This review serves as a reference and guide for future technological development and commercialization of EVs and offers perspectives and recommendations on future smart transportation.

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Authentication Protocol for Intelligent Cars using Fog Computing and Software-Defined Networking

Cited by 6 publications

References 41 publications

FogSec: A secure and effective mutual authentication scheme for fog computing

FogSec: A secure and effective mutual authentication scheme for fog computing

Turkey’s Domestic Car TOGG in the Framework of New Trends in Electric Vehicles and Consumer Ethnocentrism

Trends and Emerging Technologies for the Development of Electric Vehicles

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