The amount of connected devices in the industrial environment is growing continuously, due to the ongoing demands of new features like predictive maintenance. New business models require more data, collected by IIoT edge node sensors based on inexpensive and low performance Microcontroller Units (MCUs). A negative side effect of this rise of interconnections is the increased attack surface, enabled by a larger network
with more network services. Attaching badly documented
and cheap devices to industrial networks often without permission of the administrator even further increases the
security risk. A decent method to monitor the network
and detect “unwanted” devices is network scanning. Typically,
this scanning procedure is executed by a computer
or server in each sub-network. In this paper, we introduce
network scanning and mapping as a building block to
scan directly from the Industrial Internet of Things (IIoT)
edge node devices. This module scans the network in a
pseudo-random periodic manner to discover devices and
detect changes in the network structure. Furthermore, we
validate our approach in an industrial testbed to show the feasibility of this approach.
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The amount of connected devices in the industrial environment is growing continuously, due to the ongoing demands of new features like predictive maintenance. New business models require more data, collected by IIoT edge node sensors based on inexpensive and low performance Microcontroller Units (MCUs). A negative side effect of this rise of interconnections is the increased attack surface, enabled by a larger network
with more network services. Attaching badly documented
and cheap devices to...
»