Hybrid PDMDS Protocol Using Wireless Networks for Enhancing Secured Data Aggregation

The mobile nature of Internet of things (IoT) nodes together with changing network topologies makes message transmission reliability a critical issue.Our current research focuses on creating delivery protocols which ensure packet delivery in dangerous settings among node and linkage breakdowns.With Cross-layer design attackers achieve the ability to attack at various layers simultaneously.Abled attackers function across multiple layers by coordinating their attack actions to meet their objectives.The research develops a secure routing method for IoT networks that establishes correct and reliable transmission of data.An efficient method to deal with Cluster Head (CH) failures utilizes both Virtual Cluster Head construction and flow graph modelling.The secure data aggregation is achieved by using DeBruijin Graph.The surety of packet delivery is improvised by using neighbour monitoring approach i.e., Packet Drops Malicious Detection System (PDMDS) using swarm technology; it will improve the centralized neighbour monitoring.Evaluation of four routing protocols among them PDMDS always performs better than other protocols.With a Packet Delivery Ratio of 99.8%, it is evidenced to be most reliable and scalable; at the same time Endto-End Delay (80-90ms) is kept the minimum, because of efficient and stable routing mechanisms.It also records the least Packet Drop Rate (0.005), the highest in terms of packet integrity, and the highest Throughput (550-580 packets/sec), suggesting great capability to send a high volume of data continuously.On energy efficiency metrics, PDMDS provides the highest Alive Nodes Ratio (0.92-0.96) for longer working time of networks and low False Positive Rate (1.3%), for higher trust and detection precision.Results from the test are compared to detection and separation mechanisms of malicious nodes based on adaptive cross layer methodology.