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A Trust-Based Adaptive Probability Marking and Storage Traceback Scheme for WSNs.

Anfeng Liu1, Xiao Liu2, Jun Long3

  • 1School of Information Science and Engineering, Central South University, Changsha 410083, China. afengliu@mail.csu.edu.cn.

Sensors (Basel, Switzerland)
|April 5, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a trust-based adaptive probability marking and storage (TAPMS) scheme to improve wireless sensor network (WSN) security. TAPMS enhances traceback efficiency and network longevity by intelligently managing data marking and storage.

Keywords:
adaptive probability markingtracebacktrustwireless sensor network

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) are crucial for diverse applications but face significant security challenges.
  • Effective traceback mechanisms are vital for identifying malicious sources and ensuring WSN cybersecurity.
  • Existing traceback methods often struggle with efficiency and data integrity.

Purpose of the Study:

  • To propose a novel trust-based adaptive probability marking and storage (TAPMS) scheme for WSNs.
  • To enhance the security and operational lifetime of wireless sensor networks.
  • To improve the reliability and speed of malicious source traceback.

Main Methods:

  • Implemented an adaptive marking probability adjusted by network security needs.
  • Introduced a trust-based node selection for storing marking tuples.
  • Evaluated the scheme through experimental analysis.

Main Results:

  • TAPMS significantly reduces the number of marking tuples, extending network lifetime.
  • Storing marking tuples on high-trust nodes ensures data reliability.
  • Traceback time is reduced by over 80% compared to existing methods.

Conclusions:

  • The TAPMS scheme offers a robust solution for WSN security and traceback.
  • Adaptive marking and trusted storage enhance network performance and resilience.
  • This approach effectively addresses key cybersecurity vulnerabilities in WSNs.