Advancement Through Research
Manet is prone to different types of malicious attacks. Security in MANET is hard to achieve because of its dynamic nature. However, identification of potential problematic nodes can help in avoiding the usage of these during data transfer. An early detection of these problematic nodes can substantially enhance the preventive approach for security. Human Immune System (HIS) approach has been greatly used in detection of problematic nodes in MANET. Hence, we propose an approach for problematic node identification with negative selection, danger theory and clonal selection using source-based immunization. We tag the nodes as problematic based on monitoring of their behavior by the source node. Further, we propose tag scaling to capture the severity of the malicious intent based on behavior. The proposed work has been simulated and presented with the results being compared with the existing approaches. The simulation results revel that the proposed work has a better packet delivery ratio in presence of malicious nodes.
MANET, Problematic node, Threshold, Scaling, Tagging
