Research on remote monitoring video encryption technology based on chaos

Over the past few decades, the security of visually transmitted data from resource-constrained components has become an increasingly critical and challenging issue. These components are characterized by limited storage capacity and computational power. Consequently, efficient alternatives to current standard encryption techniques are required to support and maintain video security in surveillance devices. This paper presents an innovative video encryption technology based on chaotic systems for remote monitoring applications. A novel Lyrebird-Optimized Chaotic Logistic Map (LO-CLM) framework is proposed for encrypting videos. In the proposed LO-CLM framework, the Lyrebird Optimization (LO) algorithm is employed to determine the optimal parameter values for the Chaotic Logistic Map (CLM) and to generate an optimal encryption key. To evaluate the proposed encryption framework, video samples were gathered and converted into image frames for encryption. The performance of the proposed method was analyzed, resulting in an encryption time of 0.000412 (s) and a decryption time of 0.000512 (s). A comparison with other existing methods demonstrates that the proposed LO-CLM approach achieves superior video encryption efficiency for remote monitoring.