In this paper, we consider the privacy preservation problem in continuous-time average consensus algorithms with strongly connected and balanced graphs, against either internal honest-but-curious agents or external eavesdroppers. A novel algorithm is proposed, which adds edge-based perturbation signals to process of computation. Our can be divided into two phases: a coordinated scrambling phase...