This project simulates Mobile Ad-hoc Networks (MANETs) using AODV routing, integrating blockchain for secure transactions. It tests routing with and without blackhole attacks, offering visual insights.
A simulation illustrating AODV routing protocol behavior in MANETs, with emphasis on blackhole attack detection and mitigation.
Trust-based routing layer in C++/NS-3 that detects packet-dropping attackers in a 49-node IoT sensor network. Raises delivery under blackhole attacks from 19% to 94% with zero false positives. Includes a test suite at four levels and a D3 viewer that replays detection.
NS-3 simulation project analyzing AODV routing performance and Black Hole attack mitigation in MANET networks.
Federated learning-based DTN blackhole attack detection framework with reactive and pre-emptive detection using delivery behavior, delay patterns, and routing anomaly features.
Network security research modules for NS-3: Simulating malicious node behaviors and vulnerabilities in OLSR MANET environments.
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