Distributed Denial of Service Attacks (DDoS) have been a prevalent threat to information security across organizations. Moreover, the rise of botnets has provided a lucrative environment for DoS attacks to evolve and increase at an alarming rate. Hence, it is crucial for organizations to integrate security policies and infrastructure within their operations. Various security products such as Intrusion Detection/Prevention systems (IDS/IPS) and firewalls help address this need. However, acquiring and configuring these products can be time-consuming and costly. Furthermore, configuring & integrating such systems together requires technical expertise in information security. This research study suggests a novel approach to developing a lightweight and low-cost sensor for early detection of DoS attacks. The sensor communicates over a distributed network, with an IPS system which responds by reducing the impact of DDoS attacks. Such a configuration also allows the solution to be scalable i.e. the IPS could be configured to manage data from multiple sensors. The project is being conducted in 3 phases: (1) Identify, implement and test the technologies required for monitoring and logging traffic to and from insecure device, within a virtual environment. (2) Extend configuration to the production environment including Raspberry Pi(s) acting as the sensors. (3) Add usability enhancements such as an interactive console or Graphical User Interface (GUI) for system configuration. With development in progress, it is anticipated that this project will open various avenues to explore the potential for effective use of remote devices to detect DoS attacks.