Abstract
According to the attributes of these components, there has been a
growing demand over the past few decades for the security of visible
resource-constrained components, which has become a difficult topic.
Systems with limited store capacity and computational power have visual
resource constraints. Therefore, effective alternatives are needed in
place of the current standard encryption techniques for supporting and
retaining video security in surveillance devices. So, this paper
presents an innovative video encryption technology based on chaos
systems for remote monitoring applications. In this study, a novel
lyrebird-optimized chaotic logistic map (LO-CLM) framework is proposed
for encrypting videos. In the proposed LO-CLM framework, the LO approach
is employed to analyze the optimal parameter values of the CLM and also
generate the optimal key. To evaluate the proposed encryption framework,
video samples are gathered and for effective encrypting, we convert the
video into image frames. Then, the performance of the proposed method is
analyzed in encryption time 0.000412 (s), decryption time 0.000512 (s)
and also compared with other existing methods. From the experimented
outcomes, this study demonstrated that the proposed LO-CLM approach
attains the maximum video encryption efficiency in remote monitoring
than other methods.