On Preventing Location Attacks for Urban Vehicular Networks

Algorithm 1

Our proposed tensor-based prediction model.

Input: Data D

for , do

-

end for

draw from

repeat

  draw form

   frequency from c to location i

   frequency from c to location j

     if   then

   swap with

  end if

(14)  

(15)  

(16)  for to   do

(17)   

(18)   

(19)   

(20)   

(21)   

(22)   

(23)  end for

(24) until convergence Output: