Protection of image and measurement data in an open network for traffic enforcement

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Abstract

Efficient traffic enforcement requires measuring systems using digital cameras instead of wet film technology. The digital file containing the image data and the measured speed and/or other values are transferred to a central office without personnel at place. A type approval for such a system – as necessary in most countries – has to ensure the authenticity and integrity of these data with the goal of being accepted as evidence at court. The company Robot has developed a speed-measuring instrument using a digital camera system that has been type approved by PTB and is used by the German police since 2003. This paper firstly presents the technique of this system as an example to protect these data. The second part describes the in-depth validation method performed at PTB in the framework of the type approval procedure with the focus on the analysis of securing means of the operating system and of the applied cryptographic algorithms. The basis is a detailed and structured set of specifications and requirements that has been drafted by a consortium within the project VERA 2 funded by the EC.

Introduction

Digital imaging and networking technology are increasingly used in many fields, particularly for measurements in locations that are inconvenient to reach or even inaccessible for personnel. Continuous traffic enforcement in tunnels is a striking example. The bodies in charge as well as the manufacturers who develop measuring systems for traffic enforcement were aware of the advantages of the new technology compared to the established isolated local systems. Fig. 1, Fig. 2illustrate a digital imaging system that utilises the advantages of a digital camera and a network solution.

A sensor measuring the speed of the passing vehicles triggers a digital camera. The image data and the measured speed and some other data are combined to an event file that is compressed if necessary and then transferred to a central office via a network (ISDN or Ethernet). This transfer is protected by a digital signature and encryption. In the office the correctness of the signature must be checked before using the file for enforcement purposes (see Fig. 3).

Various obstacles had to be overcome before such a system could be implemented. In particular certain constraints in legal metrology have to be observed. In Germany and many other countries measuring instruments and their auxiliary devices used for traffic enforcement run through a two-step legal procedure. Firstly a pattern of the measuring system is examined and approved by a Notified Body with the result of a homologation. Secondly each batch-produced instrument is legally verified before put into use. Legal verification is repeated in fixed intervals.

Bodies in charge and manufacturers had to clarify how digital images and data transferred via networks could be sufficiently secured for the purpose of serving as an evidence. From the manufacturer's point of view development of such complex system only would be economically attractive, if this technology was accepted in many countries. As there is no EC directive harmonising traffic enforcement, authorities responsible for type approval and manufacturers from several European countries joined in two EC funded projects (VERA 1 and 2) for solving these problems. The authors of this article were instrumental in contributing to the result of these projects in developing a measuring system conform to the requirements defined, and in examining this measuring system.

Section snippets

Overview TraffiStar S330 components

The TraffiStar S330 speed measurement system consists of three main components which are the Xenon flash “XF1” to illuminate the scene, the Intelligent Piezo Pre-Amplifier “IPV” to measure the speed and the digital camera unit “SmartCamera” to document the incidents. The incident data is stored locally in the SmartCamera and later transferred automatically to the central office for evaluation and to issue the citations.

Link to normative documents

All software requirements described here are based on the WELMEC Guide 7.2 “Software”. This guideline comprises the following issues: classification of technical configurations of measuring systems, definition of risk classes of applications in legal metrology, definition of requirements, proposal of validation steps, and proposal of technical solutions. Due to the modular approach of the guide 7.2 it is possible to apply it to any configuration of a measuring system by selecting the

Software solutions for digital data security

Dedicated security mechanisms, based on standardised, globally accepted methods and algorithms protect any digital primary evidence generated by the ROBOT SmartCamera. The security technology is embedded by default in each SmartCamera and can be activated or deactivated by initial configuration of the system. The central processing unit of the SmartCamera and the software itself as well are protected against unauthorised access and tampering. So the three possible targets for an attack

Functional tests

A key issue of a digital imaging system to be used for traffic enforcement is the correct assignment of the speed measured by the sensor to the image captured by the camera. This task seems to be relatively easy but problems may arise when many vehicles in a multilane situation have to be detected. Due to the complex communication between the components of the system a corruption of data arises as a possible problem in practice.

To ensure the correct function of the digital imaging system a

Software verification

In the following the most important parts of the software evaluation in the framework of the type approval performed at PTB are described. It is required (see Chapter 3.3) that no unauthorised person is able to manipulate the software of the measuring system i.e. neither the programmes of the digital camera nor the data stored or transmitted. In Chapter 6.1 the securing means needed to meet this requirement and their verification are discussed (requirements Chapter 3.3(c)–(g)). In Chapter 6.2

Outlook

The vision of a digital imaging system as illustrated in Fig. 1 is discussed since the first digital cameras came to the consumer market. The advantages of such a technique are easy to understand, especially for systems permanently installed. It has taken, however, more than a decade to bring this vision to reality. One of the many obstacles was the optical performance of the first cameras. In particular the limited resolution of the images did not allow to identify the number plate and the

Frank Jäger has studied physics at the Technical University in Braunschweig and got his Ph.D. in 1991. Since then he is working at PTB in the field of type approval for many speed enforcement systems – now using digital cameras – in Germany. He was work package leader of the EC funded project VERA, a cooperation with several representatives of European type approval authorities.

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Frank Jäger has studied physics at the Technical University in Braunschweig and got his Ph.D. in 1991. Since then he is working at PTB in the field of type approval for many speed enforcement systems – now using digital cameras – in Germany. He was work package leader of the EC funded project VERA, a cooperation with several representatives of European type approval authorities.

Ulrich Grottker, has studied communications engineering at the Technical University of Braunschweig. His doctor thesis dealt with traffic safety. At PTB he was engaged with developing IT systems suitable for legal metrology and concepts for requirements on national and European level in legal metrology. He is head of the PTB working group that is responsible for software examination in legal metrology.

Heike Schrepf received a master degree in physics at Technical University of Magdeburg. After working a couple of years as a physicist, she changed to information technology. She joined PTB in 1991, the German National Metrology Institute, and is working since that time as a software engineer in the software testing laboratory of PTB.

Wolfgang Guse studied communications engineering at the RWTH Aachen. He received his Ph.D. in 1992 in the area of object oriented image coding. Until 1995 he was with the development department of BOSCH. He worked on the MPEG2 specifications, the transmission of digital video via terrestrial and cable networks and the necessary multiplexing techniques. Since April 1995 he is with the company ROBOT Visual Systems GmbH. He is responsible for a technical department. His tasks are the development of traffic surveillance products.

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