Academy of Marketing Studies Journal Volume 25, Issue 4, 2021 1 1528-2678-25-4-440 WATERMARKING TECHNIQUES FOR ROYALTY ACCOUNTS IN CONTENT MANAGEMENT WEBSITES FOR IOT IMAGE ASSOCIATION Siddhartha Vadlamudi, Xandr, USA Md. Aminul Islam, East Delta University, Bangladesh Md. Shakawat Hossain, Jagannath University, Bangladesh Alim Al Ayub Ahmed, Jiujiang University, China ABM Asadullah, International Islamic University Malaysia, Malaysia ABSTRACT Utilizing IoT associations has been trending recently. They have been used in numerous fields of life, comprising protected and subtle segments like the healthcare and military. Images that are used across IoT platforms infringe copyright strategies and rescind the authenticity of the images taken with hard work by a human. Thus, the objective of this study is to provide IoT association of images (pictures/photos) to pages across content management websites with unique watermarks to account for Royalty to the person/association owning the camera. This model indulges in emerging and registering a distinctive number that exclusively ties up the human and the camera which is getting used in such a way that the photo taken by the person will leave a unique identifier or mark which will make the image copyrighted and uploads to cloud for direct usage on any pages in IoT so that direct revenue of the copyrighted photograph goes to the person who clicked the photo. Our results presented the watermarking method to account for royalty in content management websites for IoT association of images contrary to the work's existing result. Our result assumed that with the watermarking method, royalty can be accounted to the rightful owner of the image during the IoT-associated image. Keywords: Watermarking Method, CMS, Content Management Websites, IoT Association of Image, Copyright. INTRODUCTION The IoT is a defined stratum that interlinks smart devices that are connected to the network (Ammar et al., 2018). These devices received data from the surrounding and direct it to the net to be collated, evaluated, and processed utilizing hi-tech (Gubbi et al., 2013). The internet of things architecture is commonly made up of 3 layers namely, the network layer, the application layer, and the perception layer (Vadlamudi, 2021a). It is the perception layer that has all the hardware devices that interlink at once and set up a network (Manikandan & Subha, 2018). Cordless radar networks are seen as one of the primary facilitating technologies for the perception layer (Lazarescu, 2017; Manikandan and Subha, 2018). The perception layers are made up of low-power radar nodes that have restricted computational and storage capacities, and an influential base station (Pawar & Agarwal, 2017). Cordless radar networks are utilized in an extensive collection of applications like atmosphere control and monitoring, healthcare schemes, home control, and office automation