Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Secure State Estimation against Sensor Attacks in the Presence of Noise   We consider the problem of estimating the state of a noisy linear dynamical
system when an unknown subset of sensors is arbitrarily corrupted by an
adversary. We propose a secure state estimation algorithm, and derive (optimal)
bounds on the achievable state estimation error given an upper bound on the
number of attacked sensors. The proposed state estimator involves Kalman
filters operating over subsets of sensors to search for a sensor subset which
is reliable for state estimation. To further improve the subset search time, we
propose Satisfiability Modulo Theory based techniques to exploit the
combinatorial nature of searching over sensor subsets. Finally, as a result of
independent interest, we give a coding theoretic view of attack detection and
state estimation against sensor attacks in a noiseless dynamical system.

12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph