A Lightweight Intrusion Detection Method Based on Fuzzy Clustering Algorithm for Wireless Sensor Networks

Algorithm 2

Sliding window procedure.

Input: Feature B of suspect sample , size of sliding window p

Output: Category of the suspect sample

(1)  extract first p record data of the suspect sample

(2)  use first dimension value of the record data and

(3)  select feature B of predicted normal data from the record data (named normalB, the size is k)

(4)   for  i = 1 to k  do

(5)find minB/  the smallest value of feature B of predicted normal data

(6)  end  for

(7)

(8)  if    then

(9)the is normal

(10)  else then

(11)the is a network intrusion sample

(12)  end if

(13)  return category of the suspect sample