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Design and Performance Analysis of a Real-Time Intrusion Detection System for Wormhole Attack in the RPL-based Internet of Things

Design and Performance Analysis of a Real-Time Intrusion Detection System for Wormhole Attack in the RPL-based Internet of Things

Cooja Project for Real-Time Intrusion Detection System for Wormhole Attack in the RPL-based IoT

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 implements a design and performance analysis of a real-time intrusion detection system for wormhole attacks in the RPL based internet of things using a contiki-cooja simulator.

Contribution:  
1. This project implements an intrusion detection system (IDS) for Wormhole attacks and attackers.
2. In this attack, a pair of attacker nodes forms a tunnel between two nodes as if they are directly connected to misguide network traffic.
3. The proposed IDS is implemented in Contiki OS, using Cooja Simulator.

Performance Evalution:  
Intrusion Detection System for Wormhole attacks is implemented in the open-source Contiki-Cooja simulator. It supports various types of sensor nodes for simulation. In our experimentation, the Cooja simulator runs Tmote sky nodes to get desired output. In this project, the experimental setup has taken 8, 16, and 24 node scenarios.
Performance Metrics:
 •  True Positive Detection Rate
 •  PDR
 •  Energy Consumption
 •  Throughput
 •  Latency
 •  Control Packet Overhead
 •  Execution Time
 •  CPU Energy Consumption