A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog

Mobile Information Systems. 2018;2018 DOI 10.1155/2018/7905960

 

Journal Homepage

Journal Title: Mobile Information Systems

ISSN: 1574-017X (Print); 1875-905X (Online)

Publisher: Hindawi Limited

LCC Subject Category: Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication

Country of publisher: United Kingdom

Language of fulltext: English

Full-text formats available: PDF, HTML, ePUB, XML

 

AUTHORS

Ashish Rauniyar (Network and Distributed System (ND) Research Group, Department of Informatics, University of Oslo, Oslo, Norway)
Desta Haileselassie Hagos (Network and Distributed System (ND) Research Group, Department of Informatics, University of Oslo, Oslo, Norway)
Manish Shrestha (Network and Distributed System (ND) Research Group, Department of Informatics, University of Oslo, Oslo, Norway)

EDITORIAL INFORMATION

Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 48 weeks

 

Abstract | Full Text

With the advent of Internet of things (IoT) and cloud computing technologies, we are in the era of automation, device-to-device (D2D) and machine-to-machine (M2M) communications. Automated vehicles have recently gained a huge attention worldwide, and it has created a new wave of revolution in automobile industries. However, in order to fully establish automated vehicles and their connectivity to the surroundings, security, privacy, and dependability always remain a crucial issue. One cannot deny the fact that such automatic vehicles are highly vulnerable to different kinds of security attacks. Also, today’s such systems are built from generic components. Prior analysis of different attack trends and vulnerabilities enables us to deploy security solutions effectively. Moreover, scientific research has shown that a “group” can perform better than individuals in making decisions and predictions. Therefore, this paper deals with the measurable security, privacy, and dependability of automated vehicles through the crowd-based intelligence approach that is inspired from swarm intelligence. We have studied three use case scenarios of automated vehicles and systems with vehicular fog and have analyzed the security, privacy, and dependability metrics of such systems. Our systematic approaches to measuring efficient system configuration, security, privacy, and dependability of automated vehicles are essential for getting the overall picture of the system such as design patterns, best practices for configuration of system, metrics, and measurements.