Information security threats in the internet of things (IoT): A case study of automatic number plate recognition (ANPR) cameras

Authors: Gravenor, N. and Adedoyin, F.

Pages: 291-304

ISBN: 9781668472071

DOI: 10.4018/978-1-6684-7207-1.ch015

Abstract:

Automatic number plate recognition (ANPR) cameras are used by local authorities and law enforcement to monitor traffic flow and collect data. ANPR captures the registration plates on passing vehicles. This chapter will consider their use against existing policies and inherent risks associated with the management of the data they produce, focusing on economic theory and considerations, predominantly within law enforcement. The chapter finds that creating well-written policies and legislation ensures accountability and responsibility. Ensuring the correct budgeting models are applied both locally (microeconomy) and at the government (macroeconomy) level, the ANPR infrastructure can remain secure and effective. The policy must also include sharing security information and event management (SIEM) logs between law enforcement agencies to share actor intelligence as there is no risk of IP disclosure, reducing the risk of a tragedy of the commons. This will also improve public confidence.

Source: Scopus