… distributed attack detection for a sensor network based … as deception attacks. An attacker
intentionally injects distinct spurious data into both the system state and the exchanged sensor …

… over a sensor network in the presence of deception attacks. A group of intercommunicating
sensors is densely … Each sensor is capable of sharing its measurement with its neighboring …

… In this paper, the underlying sensor network has n sensor nodes which are distributed in
space according to a fixed network topology represented by a directed graph G = ( V , E , ℋ ) of …

… An IDA captures the game between the environment and the supervisor considering the
possibility that a subset of the sensor network channels may be compromised by a malicious …

… bounded disturbances and deception attacks over sensor networks. The available measurements
at each sensing node are collected not only from the individual sensor but also from its …

… efforts to handle unknown deception attacks on the innovations by proposing a novel algorithm
for the distributed state estimation problem with the aid of artificial neural networks (NN). …

… In this paper, it is assumed that the sensor network has n sensor … When the data are transmitted
in the sensor network, the attacker … in this paper can deal with deception attacks as well. …

… estimation methods for sensor networks with attacks in this paper. In this paper, the sequential
fusion estimation problem will be studied for sensor networks with deceptive attacks. A …

… In this paper, distributed filtering for sensor networks under the effect of bandwidth limitation
and deception attacks is considered to ensure the predetermined H ∞ performance. The …

… and deception attacks over sensor networks. The target plant and the measuring sensors
are … The malicious signal involved in deception attacks is constrained by a specific sector-like …