Jordi Guijarro Artificial Intelligence-based Cybersecurity for Conne (Hardback)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Country of Origin
US
Book Title
Artificial Intelligence-based Cybersecurity for Connected and Aut
Title
Artificial Intelligence-based Cybersecurity for Connected and Aut
Release Date
12/31/2022
Release Year
2022
EAN
9781638280606
ISBN
9781638280606
Genre
Computing & Internet
ISBN-10
1638280606
Category

About this product

Product Identifiers

Publisher
Now Publishers
ISBN-10
1638280606
ISBN-13
9781638280606
eBay Product ID (ePID)
23058381626

Product Key Features

Number of Pages
166 Pages
Language
English
Publication Name
Artificial Intelligence-Based Cybersecurity for Connected and Automated Vehicles
Publication Year
2022
Subject
Intelligence (Ai) & Semantics, Security / General, General, Automotive
Type
Textbook
Subject Area
Transportation, Computers, Technology & Engineering
Author
Saber Mhiri, You-Jun Choi, Jordi Guijarro
Series
Nowopen Ser.
Format
Hardcover

Dimensions

Item Height
0.4 in
Item Weight
14.7 Oz
Item Length
9.2 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Reviews
The main goal of the project was the development of a more secure driving experience for the connected and automated vehicles and was built around four innovation pillars: the autonomous vehicle, the connected vehicle, the plug-in electrical vehicle and the remote control vehicle. The project, and hence the book, has delivered exceptional results with significant immediate or potential impact The project has achieved all of its objectives and milestones for the period and went much beyond the dissemination objectives.
Dewey Edition
23
Original Language
English
Dewey Decimal
629.2
Table Of Content
1. Introduction2. Autonomous Mobility3. V2X Connected Mobility4. Electromobility5. Remote Control VehicleConclusionsIndex
Synopsis
The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle manufacturers, the increased denial of customers to adopt CCAM, the loss of working hours (having direct impact on the European GDP), material damages, increased environmental pollution due e.g., to traffic jams or malicious modifications in sensors' firmware, and ultimately, the great danger for human lives, either they are drivers, passengers or pedestrians.Connected vehicles will soon become a reality on our roads, bringing along new services and capabilities, but also technical challenges and security threats. To overcome these risks, the CARAMEL project has developed several anti-hacking solutions for the new generation of vehicles.CARAMEL (Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles), a research project co-funded by the European Union under the Horizon 2020 framework programme, is a project consortium with 15 organizations from 8 European countries together with 3 Korean partners. The project applies a proactive approach based on Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles. This approach has been addressed based on four fundamental pillars, namely: Autonomous Mobility, Connected Mobility, Electromobility, and Remote Control Vehicle. This book presents theory and results from each of these technical directions., The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle manufacturers, the increased denial of customers to adopt CCAM, the loss of working hours (having direct impact on the European GDP), material damages, increased environmental pollution due e.g., to traffic jams or malicious modifications in sensors' firmware, and ultimately, the great danger for human lives, either they are drivers, passengers or pedestrians. Connected vehicles will soon become a reality on our roads, bringing along new services and capabilities, but also technical challenges and security threats. To overcome these risks, the CARAMEL project has developed several anti-hacking solutions for the new generation of vehicles. CARAMEL (Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles), a research project co-funded by the European Union under the Horizon 2020 framework programme, is a project consortium with 15 organizations from 8 European countries together with 3 Korean partners. The project applies a proactive approach based on Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles. This approach has been addressed based on four fundamental pillars, namely: Autonomous Mobility, Connected Mobility, Electromobility, and Remote Control Vehicle. This book presents theory and results from each of these technical directions., CARAMEL is a research project co-funded by the European Union. The project applies Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles. This book presents theory and results from the project.
LC Classification Number
TL152.8

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