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In the modern age, the advancement in computer technologies and communication technologies provoked the trend of multimedia data exchange with smart devices. In particular, the transmission of compressed multimedia becomes a necessity due to increasing demand of video with minimal bandwidth requirements worldwide. As per CISCO statistics, it is observed that the video transmission will consume overall 80% of the network bandwidth by the year 2018. The smart devices in Internet of Things (IoT) environment have variant characteristics like different energy levels, low processing power, small computational memory capacity etc. Therefore, the need of the current era is to transmit video with maximum compression so that the bandwidth utilization can be minimized. Two video encoders are widely used for the compression of video these days. These are H.264 Advanced Video Coding (H.264/AVC) and Highly Efficient Video Coding (HEVC) also known as MPEG4 and MPEG5 respectively. H.264/AVC is more energy efficient but provides less compression rate than HEVC. In IoT, smart devices have differing capabilities in terms of energy and storage, so there is a need to devise a mechanism to automatically detect a video encoder as per device requirements. Hence, this research proposed a Fuzzy Rules Based (FRB) system to auto detect the video compression encoder with enhanced security and ensure the minimum bandwidth utilization for smart devices. The proposed FRB mechanism is implemented by taking the genuine requirements of the IoT devices to compress the video with suitable encoder and then implement security via Selective Encryption (SE) over both encoders.
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