An Introduction to the Forensic Acquisition of Passenger Vehicle Infotainment and Telematics Systems Data

Bortles, William; McDonough, Sean P.; Smith, Connor; Stogsdill, Michael

doi:10.4271/2017-01-1437

Cited by 11 publications

(8 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

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“…In contrast, data Example of data and source External devices. [24]- [26], [31], [32], [36], [63], [65], [68]- [70], [73], [74], [77], [81], [82], [112] C.I.A.N.P. LE.VM.VD.…”

Section: Discussionmentioning

confidence: 99%

A Systematic Literature Review on Automotive Digital Forensics: Challenges, Technical Solutions and Data Collection

Strandberg

Nowdehi

Olovsson

2023

IEEE Trans. Intell. Veh.

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A modern vehicle has a complex internal architecture and is wirelessly connected to the Internet, other vehicles, and the infrastructure. The risk of cyber attacks and other criminal incidents along with recent road accidents caused by autonomous vehicles calls for more research on automotive digital forensics. Failures in automated driving functions can be caused by hardware and software failures and cyber security issues. Thus, it is imperative to be able to determine and investigate the cause of these failures, something which requires trustable data. However, automotive digital forensics is a relatively new field for the automotive where most existing self-monitoring and diagnostic systems in vehicles only monitor safety-related events. To the best of our knowledge, our work is the first systematic literature review on the current research within this field. We identify and assess over 300 papers published between 2006 -2021 and further map the relevant papers to different categories based on identified focus areas to give a comprehensive overview of the forensics field and the related research activities. Moreover, we identify forensically relevant data from the literature, link the data to categories, and further map them to required security properties and potential stakeholders. Our categorization makes it easy for practitioners and researchers to quickly find relevant work within a particular sub-field of digital forensics. We believe our contributions can guide digital forensic investigations in automotive and similar areas, such as cyber-physical systems and smart cities, facilitate further research, and serve as a guideline for engineers implementing forensics mechanisms.

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“…In contrast, data Example of data and source External devices. [24]- [26], [31], [32], [36], [63], [65], [68]- [70], [73], [74], [77], [81], [82], [112] C.I.A.N.P. LE.VM.VD.…”

Section: Discussionmentioning

confidence: 99%

A Systematic Literature Review on Automotive Digital Forensics: Challenges, Technical Solutions and Data Collection

Strandberg

Nowdehi

Olovsson

2023

IEEE Trans. Intell. Veh.

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“…Platform-centric self-awareness [45] Self-aware Fault Tolerance [46] Self-adaptation Techniques [47], [48] SoS vitality theory [49] Self-organisation and control reconfiguration [50] Challenges in V&V [51] Secure Logging (e. g., [52]- [54]) Attack Analysis / Reconstruction (e. g., [55], [56]) Adversarial Attacks and Defenses for Deep Learning [57] Data Storage Software Network/Communication Hardware Fig. 1.…”

Section: A Detectionmentioning

confidence: 99%

“…Bortles et al [56] present which types of data may be retained from current infotainment and telematic systems.…”

Section: Attack Analysis / Reconstructionmentioning

confidence: 99%

REMIND: A Framework for the Resilient Design of Automotive Systems

Rosenstatter

Strandberg

Jolak

et al. 2020

2020 IEEE Secure Development (SecDev)

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In the past years, great effort has been spent on enhancing the security and safety of vehicular systems. Current advances in information and communication technology have increased the complexity of these systems and lead to extended functionalities towards self-driving and more connectivity. Unfortunately, these advances open the door for diverse and newly emerging attacks that hamper the security and, thus, the safety of vehicular systems. In this paper, we contribute to supporting the design of resilient automotive systems. We review and analyze scientific literature on resilience techniques, fault tolerance, and dependability. As a result, we present the REMIND resilience framework providing techniques for attack detection, mitigation, recovery, and resilience endurance. Moreover, we provide guidelines on how the REMIND framework can be used against common security threats and attacks and further discuss the trade-offs when applying these guidelines.

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“…The VBOX 20 Hz VB20SL3 -Triple Antenna (SL3) data logger with accelerometer was used for comparison with data recorded with Harry's Lap Timer™. The VBOX is an industry accepted data acquisition system that has been widely accepted in the accident reconstruction community for measuring GPS location, speed, acceleration in all 3 axes, yaw, pitch, and roll angles, heading, and elevation changes [18], [19], [20]. This unit is calibrated once per year to ensure accuracy.…”

Section: Vboxmentioning

confidence: 99%

Mid-Range Data Acquisition Units UsingGPS and Accelerometers

McDonough¹,

Danaher²,

Neale³

2018

SAE Technical Paper Series

Self Cite

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I n the 2016 SAE publication "Data Acquisition using Smart Phone Applications," Neale et al., evaluated the accuracy of basic fitness applications in tracking position and elevation using the GPS and accelerometer technology contained within the smart phone itself [1]. This paper further develops the research by evaluating mid-level applications. Mid-level applications are defined as ones that use a phone's internal accelerometer and record data at 1 Hz or greater. The application can also utilize add-on devices, such as a Bluetooth enabled GPS antenna, which reports at a higher sample rate (10 Hz) than the phone by itself. These mid-level applications are still relatively easy to use, lightweight and affordable [2], [3], [4], but have the potential for higher data sample rates for the accelerometer (due to the software) and GPS signal (due to the hardware). In this paper, Harry's Lap Timer™ was evaluated as a smart phone mid-level application. Used in conjunction with the external antenna Sky Pro GPS, the speed, acceleration and position recorded by Harry's Lap Timer™ tracking technology is compared to a well-known and validated data acquisition unit. The speed, position, and acceleration data of Harry's Lap Timer™ was compared to the VBOX 20 Hz VB20SL3 with a RLVB IMU 03 3-axis accelerometer. The research presented here demonstrates that mid-level tracking software like Harry's Lap Timer™ collects comparable data at a sample rate between 1-10 Hz for many testing situations.

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An Introduction to the Forensic Acquisition of Passenger Vehicle Infotainment and Telematics Systems Data

Cited by 11 publications

References 6 publications

A Systematic Literature Review on Automotive Digital Forensics: Challenges, Technical Solutions and Data Collection

A Systematic Literature Review on Automotive Digital Forensics: Challenges, Technical Solutions and Data Collection

REMIND: A Framework for the Resilient Design of Automotive Systems

Mid-Range Data Acquisition Units UsingGPS and Accelerometers

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