Security Risk Estimation and Management in Autonomous Driving Vehicles

3Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Autonomous vehicles (AV) are intelligent information systems that perceive, collect, generate and disseminate information to improve knowledge to act autonomously and provide its required services of mobility, safety, and comfort to humans. This paper combines the security risk management (ISSRM) and operationally critical threat, asset, and vulnerability evaluation (OCTAVE allegro) methods to define and assess the AV protected assets, security risks, and countermeasures.

Cite

CITATION STYLE

APA

Affia, A. amefon O., Matulevičius, R., & Tõnisson, R. (2021). Security Risk Estimation and Management in Autonomous Driving Vehicles. In Lecture Notes in Business Information Processing (Vol. 424 LNBIP, pp. 11–19). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-79108-7_2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free