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Design and Detection Method of RPL Hybrid Attack in IoT Using Contiki-Cooja Simulator

Design and Detection Method of RPL Hybrid Attack in IoT Using Contiki-Cooja Simulator 

Detection Method of RPL Sinkhole with CloneID Attack in IoT - Cooja Project

Research Area:

IOT

Research Topics:

Contiki Cooja Simulator Projects in RPL Routing Protocol

Tools Languages:  Contiki-Cooja / Contiki NG simulator, Front End: Java, Back End: C

Software Requirement:  Vmware workstation player, Instant Contiki-3.0

Aim and Objectives:  This project aims to design and detect the method of RPL hybrid attack(Sinkhole+CloneID) in IoT using the contiki-cooja simulator.

Contribution:  
1. The main contribution of the project is to explain the effect of Sinkhole and CloneID attacks on the performance of a network.
2. It presents a detection mechanism for detecting and combatting this hybrid attack.
3. The project demonstrates the effect of this hybrid attack on RPL performance and evaluates it against a detection method inspired by previous detection methods.

Performance Evalution:  
This project uses RPL implementation in the Contiki OS to design network nodes and implement attacks. Simulating network nodes can be simplified by using a system simulator for developing algorithms. The evaluation includes 5% of attack scenarios with different network sizes, such as 15, 30, and 45 nodes scenarios.
Performance Metrics:
 •  PDR
 •  Energy Consumption
 •  Throughput
 •  Delay
 •  Control Packet Overhead
 •  Execution Time
 •  CPU Energy Consumption