D4R: a new direct discrete dynamic data reconciliation method for the detection of cyber attacks

A novel hybrid method of data reconciliation and
gross error detection, applicable for systems with a mixture
of dynamic and static system constraints, is developed for
the detection of cyber attacks. The requirements for the new
application of data reconciliation and similar methods in
cybersecurity differ from the requirements for the estab-
lished use of data reconciliation in automation and control
engineering. For the detection of cyber attacks aiming at
physical damage the main focus is on significant gross error
detection while for classical applications a robust optimiza-
tion and smoothing of measurement data is the main con-
cern. Therefore the new hybrid method of direct discrete
dynamic data reconciliation, as well as similar methods of
data reconciliation and Kalman filters with their referring
methods of gross error detection are evaluated regarding
their aptitude for attack detection in cybersecurity. All con-
sidered methods are compared regarding properties result-
ing from the specific optimization procedure and the detec-
tion. The new direct discrete dynamic data reconciliation is
indeed shown to outperform the other methods regarding
... mehr
the detection of cyber attacks.