Metrics
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Book chapter
Vehicle Network Security Metrics
Advances in Cybersecurity Management, pp.55-73
Springer Cham
2021
Abstract
The emergence of connected and autonomous vehicles at an unprecedented pace ushered several state-sponsored initiatives to start planning and building a transportation information network that utilizes intelligent sensors and sophisticated communication systems. Peripheral sensors that are used to assist the human operator in lane changing, obstacle avoidance, and parking are slowly being integrated in modern automotive vehicles. Although this newly found convenience is a boon to the society, both socially and economically, it presents security challenges that are endemic to connected technologies. These challenges underscore the need to look closely at the state of automotive vehicle network security. Consequently, security metrics must be developed in order to measure the state of vehicle network security. As a major component of continuous improvement, quantitative and qualitative measures must be devised to be able to make a full appreciation of the process. This chapter describes vehicle network security metrics and derives sample attack calculations to illustrate their applicability.
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Details
- Title
- Vehicle Network Security Metrics
- Publication Details
- Advances in Cybersecurity Management, pp.55-73
- Resource Type
- Book chapter
- Publisher
- Springer Cham; Cham
- Number of pages
- 494
- Copyright
- The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
- Identifiers
- 9783030713812; 3030713814; 9783030713805; 3030713806; 99380557495906600
- Academic Unit
- Center for Cybersecurity
- Language
- English