ABSTRACT
With the advancement in Internet and Communication Technologies, the sensitive information of the transmitted contents can be easily leaked via insecure communication from across the globe. In the digital era, different multimedia technologies have emerged across the globe. Moreover, a large amount of data such as images and audio-visual documents (such as video, speech, and music) is digitized at a low cost and can be stored over a public network. Images have been widely used for searching, sharing, and uploading at various platforms, which make them insecure against adversaries. To address the security issues, image encryption is becoming more prominent from secure image communication aspect. In the last decades, a wide range of chaotic map-based image encryption schemes have been introduced which suffer from high computation overhead and low-key space. This chapter puts forward a probabilistic image encryption-based secure surveillance framework for the IoT environment. The proposed scheme has been analyzed under some security test measures such as entropy, NPCR, UACI, and correlation coefficient. The obtained results confirm that our scheme is resistant to various known security 310attacks. Furthermore, the proposed scheme consumes comparatively low computation overhead.
