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be able to extract any meaningful data from the logs.

• Evidence Examination: An AD system may generate a considerable

number of logs due to dynamic road scenarios. The investigator may

face challenges in correlating the logs of different AD modules to

extract crucial information as all the AD components work together.

The investigator also must be able to construct the proof in front of
the court.

• Evidence integrity: Current event data recorder systems installed in

the AVs do not ensure the integrity of the collected data. A dishonest

party can manipulate the data before presenting it as evidence. Hence,

the integrity of the collected data is essential and challenging in AV

forensics.

CONCLUSION

As technology expands throughout the world, self-driving cars will be-

come the future mode of transportation universally. The legal, ethical,

and social implications of self-driving cars surround the ideas of liabil-

ity, responsibility, and efficiency. Autonomous vehicles will benefit the
economy through fuel efficiency, the environment through reduced car-

bon emissions, society through more togetherness, and the legal system

through a simpler system. As technology advances, the security tech-

nology regarding self-driving cars will also continue to grow to combat

hackers, improve the accuracy of internal systems, and prevent accidents.

REFERENCES
• Hoque, M. A., & Hasan, R. (2021). AVGuard: A Forensic Investi-

gation Framework for Autonomous Vehicles. ICC 2021 - IEEE In-

ternational Conference on Communications. https://doi.org/10.1109/

icc42927.2021.9500652

• Hettige, B & Deemantha, S. (2023). Autonomous Car: Current Is-

sues, Challenges and Solution: A Review. https://www.researchgate.

net/publication/366986201

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