Ζητήματα ασφάλειας και ιδιωτικότητας σε περιβάλλοντα έξυπνων μεταφορών

Μενεγάτος, Ανδρέας

Master Thesis

Author

Μενεγάτος, Ανδρέας

Date

2021-07

Abstract

Intelligent transport systems (ITS) encompass several types of sensing, analysis, control, and communications technologies to enhance safety, mobility, comfort, and efficiency of the transportation sector. In detail, various applications are contained which process and share information to alleviate congestion, improve traffic management, reduce the environmental footprint, and maximize the benefits of transportation to commercial users as well as the public in general. The underlying technology, vehicular ad-hoc networks (VANETs), constitute a highly complex, heterogeneous, and volatile environment that allows vehicles to communicate with each other providing them the opportunity of sharing valuable information regarding the road and traffic conditions to enhance overall safety. Nevertheless, the open nature of ITS induces a vast amount of security and privacy challenges that pertain to security and privacy objectives such as confidentiality, authentication, integrity, non- repudiation, location privacy, identity privacy, anonymity, unlinkability, certificate revocation, and certificate resolution. The automotive industry undergoes a paradigm shift as connected and autonomous vehicles gradually emerge. With the demand for connectivity in the automotive sector constantly increasing, a vast amount of novel cybersecurity risks and threats arise that need to be managed. In this context, the emergence of semi-autonomous and autonomous cars, which use advanced machine learning and artificial intelligence techniques widens the attack surface. Attacks targeting autonomous cars may result in financial losses, road accidents, disclosure of sensitive and other types of personal data, and even jeopardize road users’ safety. Thus, appropriate security measures should be implemented to mitigate the potential risks, especially as these attacks threaten the security, safety and even the privacy of vehicle passengers and the rest of the road users, along with the pedestrians. In this dissertation we provide a brief description of the architecture of ITS indicating the standards that govern their operation. Afterwards, we conduct a thorough analysis of security and privacy issues that arise in ITS environments proposing efficient countermeasures to mitigate the different types of emerging security and privacy risks. Finally, a case study is entailed referring to the security and privacy challenges linked to the field of interconnected autonomous vehicles.

Postgraduate Studies Programme

Ασφάλεια Ψηφιακών Συστημάτων

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών Συστημάτων

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/13715
http://dx.doi.org/10.26267/unipi_dione/1138

Collections

Τμήμα Ψηφιακών Συστημάτων

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα