Large-scale smart environments (LSEs) are distributed systems that covers wide geographical area characterized by a large number of possibly heterogeneous, interacting Internet of Things (IoT) devices. Their deployment aims to provide enhanced cyber-physical services to its users, IoT allows the physical objects in daily life connect to internet and by creating an environment where these object can identify and communicate with each other through different communication methods including Wi-Fi and sensor technologies. But with LSEs there is new concept included which is Social Internet of Things (SIoT), SIoT moderates the challenges of IoT like trust,entity discovery and management by developing” social-like” relationships between the objects that search only those nodes with mutual social relations then the complexity and the time duration of the search could be drastically reduced. Now due to less approaches to develop a efficient LSEs and issues like Security and Trustworthiness are still to conquer incase of SIoT. The system includes implementation of a security system that is user friendly and can be used commercially which comprises of LSE Sensor, LSE End User, LSE Edge, where LSE Gateway(Server) acting as mediator .This paper proposed to resolve the security issues and reduction of maliciousness resulting in the increasing trustworthiness. In Proposed system there is usage of Fuzzy Logic rather than Crisp Logic that provide the user with better results and overcome the related issues by improving parameters like latency, trustworthiness factor and no of nodes detection in the system ,by addition of Fuzzy Logic and Artificial Intelligence(AI) there is analysis of sound(alerts)coming from a particular sensor thereby increasing the reliability and removing congestion.