Securing the Internet of Vehicles: A Deep Learning based Classification Framework

2021 ◽  
pp. 1-1
Author(s):  
Tejasvi Alladi ◽  
Varun Kohli ◽  
Vinay Chamola ◽  
F. Richard Yu
Author(s):  
Zehong Wang ◽  
Jianhua Liu ◽  
Shigen Shen ◽  
Minglu Li

Restaurant recommendation is one of the most recommendation problems because the result of recommendation varies in different environments. Many methods have been proposed to recommend restaurants in a mobile environment by considering user preference, restaurant attributes, and location. However, there are few restaurant recommender systems according to the internet of vehicles environment. This paper presents a recommender system based on the prediction of traffic conditions in the internet of vehicles environment. This recommender system uses a phased selection method to recommend restaurants. The first stage is to screen restaurants that are on the user’s driving route; the second stage is to recommend restaurants from the user attributes, restaurant attributes (with traffic conditions), and vehicle context, using a deep learning model. The experimental evaluation shows that the proposed recommender system is both efficient and effective.


2018 ◽  
Vol 117 ◽  
pp. 192-204 ◽  
Author(s):  
Chen Chen ◽  
Hongyu Xiang ◽  
Tie Qiu ◽  
Cong Wang ◽  
Yang Zhou ◽  
...  

Telecom ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 108-140
Author(s):  
Paulo Álvares ◽  
Lion Silva ◽  
Naercio Magaia

It had been predicted that by 2020, nearly 26 billion devices would be connected to the Internet, with a big percentage being vehicles. The Internet of Vehicles (IoVa) is a concept that refers to the connection and cooperation of smart vehicles and devices in a network through the generation, transmission, and processing of data that aims at improving traffic congestion, travel time, and comfort, all the while reducing pollution and accidents. However, this transmission of sensitive data (e.g., location) needs to occur with defined security properties to safeguard vehicles and their drivers since attackers could use this data. Blockchain is a fairly recent technology that guarantees trust between nodes through cryptography mechanisms and consensus protocols in distributed, untrustful environments, like IoV networks. Much research has been done in implementing the former in the latter to impressive results, as Blockchain can cover and offer solutions to many IoV problems. However, these implementations have to deal with the challenge of IoV node’s resource constraints since they do not suffice for the computational and energy requirements of traditional Blockchain systems, which is one of the biggest limitations of Blockchain implementations in IoV. Finally, these two technologies can be used to build the foundations for smart cities, enabling new application models and better results for end-users.


Author(s):  
Léo Mendiboure ◽  
Mohamed Aymen Chalouf ◽  
Francine Krief

Author(s):  
Lin Bai ◽  
Jiexun Liu ◽  
Jiaxing Wang ◽  
Rui Han ◽  
Jinho Choi

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