 The Internet of Things, IoT, presents significant privacy and security challenges, including improper device updates, lack of efficient security protocols, user unawareness, and active device monitoring. This work explores the background of IoT systems and security measures, identifies different security and privacy issues, approaches used to secure IoT-based environments and systems, existing security solutions, and proposes a new IoT-layered model with privacy and security components and layers identification. The proposed cloud-slash-edge supported IoT system is implemented and evaluated using Amazon Web Service, AWS, as virtual machines for the lower layer, Raspberry Pi 4 hardware kit with support of green grass edge environment in AWS for the middle layer, and cloud-enabled IoT environment in AWS for the top layer. Security protocols and critical management sessions were between each layer to ensure user information privacy. The proposed system model eliminates possible security vulnerabilities and can be used along with best security techniques to counter-measure cybersecurity threats facing each layer, cloud, edge, and IoT. This article was authored by Loei Tawalbe, Fadi Muhidat, Maize Tawalbe, and others. We are article.tv, links in the description below.