<p>Security is a concern everywhere. Huge amount of money are spent on security system by different countries. At the same time, safety of people in the border area is another concern. Specially for the “No man’s Land” which typically refers to a land between two countries which is not governed by any country, is always under susceptible attack. Even deployment of arm forces in the region is also a problem many times for various factors. In this respect deployment of a smart border security system is a kind of solution through the advancement of modern technologies, including Internet of Things (IoT) devices equipped with sensors, software, and other integrated systems, these tools can be effectively utilized in the defence sector. Utilisation of underground distributed fiber optic sensors (DFOS), helps to understand the unauthorised crossing of border and that can be confirmed through implementation of deep learning model. In the proposed system, it uses DFOS, along with utilisation of " Rayleigh Scattering” along with IoT devices and camera, will not only identify the existence of the object but also trigger the camera and process images using deep learning algorithm to generate alarm at user’s device.</p>