A multi-class method is proposed based on Error
Correcting Output Codes algorithm in order to get better performance of attack
recognition in Wireless Sensor Networks. Aiming to enhance the accuracy of
attack detection, the multi-class method is constructed with Hadamard matrix and two-class Support Vector Machines. In order to minimize the
complexity of the algorithm, sparse coding method is applied in this paper. The
comprehensive experimental results show that this modified multi-class method
has better attack detection rate compared with
other three coding algorithms, and its
time efficiency is higher than Hadamard coding algorithm.
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