Wireless Sensor Networks (WSNs) are integral to numerous applications, including environmental monitoring, surveillance, and healthcare. However, they face significant security threats such as Denial of Service (DOS) and Sinkhole attacks, which can severely impact performance and reliability. In this research paper, we present a simulation framework to evaluate the effectiveness of Intrusion Prevention Systems (IPS) in combating these threats. Our simulation incorporates realistic network conditions, node mobility, energy consumption models, and IPS logic to assess different strategies. Through extensive simulations and metrics analysis, we determine the impact of IPS on network security and identify optimal configurations for mitigating DOS and Sinkhole attacks. Our findings offer valuable insights into bolstering the resilience of WSNs against emerging security challenges, advancing secure IoT infrastructure.

Wireless Sensor Networks (WSNs) are pivotal in various domains, yet their vulnerability to security threats necessitates robust defense mechanisms. DOS and Sinkhole attacks pose significant risks to WSNs, threatening their functionality and data integrity. In this paper, we propose a simulation framework to evaluate the efficacy of Intrusion Prevention Systems (IPS) in addressing these threats. By considering realistic network dynamics and IPS strategies, we aim to enhance the security posture of WSNs and enable reliable IoT applications.

Our simulation framework integrates node mobility, energy consumption models, and IPS logic to emulate real-world WSN scenarios. We evaluate different IPS configurations and strategies to gauge their effectiveness in thwarting DOS and Sinkhole attacks. Through extensive simulations and comprehensive metrics analysis, we quantify the impact of IPS on network security and identify optimal settings for mitigating security risks.

Our findings reveal varying degrees of success in mitigating DOS and Sinkhole attacks across different IPS configurations. Proactive defense mechanisms demonstrate significant efficacy in safeguarding WSNs against malicious activities. By identifying optimal IPS settings and deployment strategies, we enhance the resilience of WSNs and reinforce their role in supporting critical IoT applications.

In conclusion, our research underscores the importance of Intrusion Prevention Systems in fortifying the security of Wireless Sensor Networks. Through rigorous simulation and analysis, we provide valuable insights into mitigating DOS and Sinkhole attacks, thereby advancing the reliability and integrity of WSNs in diverse application domains. Our study contributes to the development of secure IoT infrastructure, ensuring the continued deployment of WSNs in mission-critical scenarios.

Wireless Sensor Networks, Intrusion Prevention Systems, Denial of Service Attacks, Sinkhole Attacks, IoT Security, Simulation Framework