By this motivation, in this paper, we study a video steganography-based botnet in Social Network Service (SNS) platforms.

Meanwhile, according to our survey, we observed that existing studies on the steganography botnet are limited to use only image steganography techniques, although the video steganography method has some obvious advantages over the image steganography method. Consequently, traditional botnet detection systems without steganography detection methods cannot detect them. In stego-botnets, every C & C message is embedded in a multimedia file, such as an image file by using steganography techniques and shared in Social Network Service (SNS) websites (such as Facebook) or online messengers (such as WeChat or KakaoTalk). Recently, steganography-based botnets (stego-botnets) have emerged to make C & C communication traffics look normal to botnet detection systems.

Although such C & C messages can be encrypted by cryptographic methods to hide them, existing botnet detection mechanisms could detect the existence of botnets by capturing suspicious network traffics between the bot master (or the C & C server) and numerous bots. In botnets, a bot master regularly sends command and control messages (C & C messages) to bots for various purposes, such as ordering its commands to bots and collecting critical data from bots.

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