TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Wallis, Kevin
A1  - Schillinger, Fabian
A1  - Reich, Christoph
A1  - Schindelhauer, Christian
T1  - Protection Measurements for Distributed Decision Trees
JF  - International Journal for Information Security Research (IJISR)
N2  - In Industry 4.0 machine learning approaches are a state-of-the art for predictive maintenance, machine condition monitoring, and others. Distributed decision trees are one of the learning algorithms for such applications. A new approach of node based parallelization for the construction is presented and allows to classify data through a network of nodes. Attacks on the nodes are discussed based on different attack scenarios and attack classifications are presented. A thorough analysis of protection measurements is given, such that classification is not maliciously modified by an attacker. Different countermeasures are proposed and analyzed. A quorum-based system allows for a good balance between computational overhead and robustness of the algorithm.
Y1  - 2021
UR  - https://infonomics-society.org/wp-content/uploads/Protection-Measurements-for-Distributed-Decision-Trees.pdf
SN  - 2349-7009
SS  - 2349-7009
VL  - 11.2021
IS  - 1
SP  - 962
EP  - 971
ER  -