  In order to withstand the ever-increasing invasion of privacy by CCTV cameras
and technologies, on par CCTV-aware solutions must exist that provide privacy,
safety, and cybersecurity features. We argue that a first important step
towards such CCTV-aware solutions must be a mapping system that provides both
privacy and safety routing and navigation options. To the best of our
knowledge, there are no mapping nor navigation systems that support privacy and
safety routing options. In this paper, we explore the feasibility of a
CCTV-aware routing and navigation solution. The aim of this feasibility
exploration is to understand what are the main impacts of CCTV on privacy, and
what are the challenges and benefits to building such technology. We evaluate
our approach on seven (7) pedestrian walking routes within the downtown area of
the city of Jyvaskyla, Finland. We first map a total of 450 CCTV cameras, and
then experiment with routing and navigation under several different
configurations to coarsely model the possible cameras' parameters and coverage
from the real-world. We report two main results. First, our preliminary
findings support the overall feasibility of our approach. Second, the results
also reveal a data-driven worrying reality for persons wishing to preserve
their privacy/anonymity as their main living choice. When modelling cameras at
their low performance end, a privacy-preserving route has on average a 1.5x
distance increase when compared to generic routing. When modelling cameras at
their medium-to-high performance end, a privacy-preserving route has on average
a 5.0x distance increase, while in some cases there are no privacy-preserving
routes possible at all. These results further support and encourage both global
mapping of CCTV cameras and refinements to camera modelling and underlying
technology.
