Paper 2017/613

Illusion and Dazzle: Adversarial Optical Channel Exploits against Lidars for Automotive Applications

Hocheol Shin, Dohyun Kim, Yujin Kwon, and Yongdae Kim


With the advancement in computing, sensing, and vehicle electronics, autonomous vehicles are being realized. For autonomous driving, environment perception sensors such as radars, lidars, and vision sensors play core roles as the eyes of a vehicle; therefore, their reliability cannot be compromised. In this work, we present a spoofing by relaying attack, which can not only induce illusions in the lidar output but can also cause the illusions to appear closer than the location of a spoofing device. In a recent work, the former attack is shown to be effective, but the latter one was never shown. Additionally, we present a novel saturation attack against lidars, which can completely incapacitate a lidar from sensing a certain direction. The effectiveness of both the approaches is experimentally verified against Velodyne's VLP-16.

Note: This work is the same as the paper submitted at CHES 2017.

Available format(s)
Publication info
Published by the IACR in CHES 2017
attackautonomous carsensorlidarsaturatingspoofing
Contact author(s)
h c shin514 @ gmail com
2017-06-26: received
Short URL
Creative Commons Attribution


      author = {Hocheol Shin and Dohyun Kim and Yujin Kwon and Yongdae Kim},
      title = {Illusion and Dazzle: Adversarial Optical Channel Exploits against Lidars for Automotive Applications},
      howpublished = {Cryptology ePrint Archive, Paper 2017/613},
      year = {2017},
      note = {\url{}},
      url = {}
Note: In order to protect the privacy of readers, does not use cookies or embedded third party content.