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Simulation of Attacks for Security in Wireless Sensor Network.

Alvaro Diaz¹, Pablo Sanchez²

¹Microelectronics Engineering Group, University of Cantabria, 39011 Cantabria, Spain. adiaz@teisa.unican.es.

Sensors (Basel, Switzerland)

|November 22, 2016

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This study introduces a security analysis methodology for Wireless Sensor Networks (WSNs). It enables the development of attack-aware embedded software by simulating attacks and analyzing their impact on node performance and power consumption.

Area of Science:

Computer Science
Network Security
Embedded Systems

Background:

Wireless Sensor Networks (WSNs) face increasing complexity and low-power demands.
Security is critical for WSNs handling sensitive data in unattended environments.

Purpose of the Study:

To present a methodology for WSN security analysis.
To enable the design of attack-aware embedded software and countermeasures for WSNs.

Main Methods:

Developed an attacker model with three distinct attacker types.
Created a virtual platform simulating WSN nodes, embedded software, and wireless channels.
Integrated attacker models for performance analysis (execution time, power consumption).

Main Results:

Keywords:

WSN attack simulation power consumption security analysis

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The methodology allows for detailed analysis of WSN security vulnerabilities.
Simulations assess the impact of attacks on node software execution time and power usage.
Essential data is provided to developers for creating more secure WSN systems.

Conclusions:

The proposed methodology and simulator are crucial for developing attack-aware embedded software for WSNs.
This approach enhances the security and resilience of WSN deployments.