Threat of AR Hacking Fixable With Machine Learning
Along with co-writers Tadayoshi Kohno, and David Molnar, Roesner penned a paper in 2012 on the “Security and Privacy for Augmented Reality Systems”.
The paper asks practical questions about the integration of AR into daily life.
Because you are actively following directions given by the tech with physical actions like driving your car, the implications of hacked AR include physical harm. But that’s not the only negative that could come of it.
At some point, as we navigate a new reality where everyone around us uses AR to find their way and record their experiences, our likeness and actions will be recorded by others. Others’ actions will be recorded by our devices. In a world where a digital signature can unlock everything we own, at what point are we taking in too much information?
AR devices have access to your location, surroundings, and everything on your phone or tablet. Roesner also raises the point that other people’s devices are also recording you.
What happens to this data?
As suggested in the Digital Journal op-ed, if we can teach AI to recognize malware and potentially harmful code, we can address security concerns more readily.
See the full story here: https://edgylabs.com/could-machine-learning-reduce-ar-tech-user-safety-concerns/