A Novel Approach for Detection of Malicious Attack during Post Disaster Using UAV Assisted Delay Tolerant Network

Utilizing delay tolerant networks (DTN) via smartphones is a practical approach, especially when traditional networks are compromised. The use of short-range communication technologies like Bluetooth or WiFi ensures connectivity among ground nodes, albeit with limitations in determining efficient routes across the entire disaster area. Incorporating Unmanned Aerial Vehicles (UAVs) into the network introduces a dynamic element that can significantly enhance message delivery speed and route determination However, the introduction of UAVs also brings new challenges, particularly in ensuring the security and reliability of communication. Malicious attacks, such as message dropping or manipulation, can disrupt the network’s overall functionality and effectiveness. This paper proposes the use of monitor nodes to track both UAVs and ground nodes, identifying and mitigating malicious nodes to ensure successful message delivery. Simulation is done using Opportunistic Network Environment (ONE). The simulator provides valuable insights into the proposed methods’ effectiveness.