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Related Experiment Video

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Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
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Risk-driven security testing using risk analysis with threat modeling approach.

Maragathavalli Palanivel1, Kanmani Selvadurai1

  • 1Department of Information Technology, Pondicherry Engineering College, Puducherry, India.

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|February 13, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a risk-driven security testing method combining risk analysis and STRIDE threat modeling to identify high-risk system states. This approach optimizes testing by reducing test suites and improving efficiency.

Keywords:
Risk analysisRisk-drivenSTRIDESecurity testingSystem statesTest suiteThreat modeling

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Area of Science:

  • Computer Science
  • Software Engineering
  • Cybersecurity

Background:

  • Traditional security testing often overlooks simultaneous threat modeling and risk analysis, impacting system confidentiality and integrity.
  • Risk analysis involves identifying, evaluating, and assessing risks, while threat modeling identifies system-associated threats.
  • The STRIDE framework is commonly used for threat modeling, identifying both technical and non-technical threats.

Purpose of the Study:

  • To propose a novel security testing mechanism that integrates risk analysis with the STRIDE threat modeling approach.
  • To enhance the identification of highly risky system states by prioritizing testing efforts.
  • To optimize the security testing process through improved test case selection and execution.

Main Methods:

  • Developed a risk-driven security testing mechanism utilizing risk analysis results and the STRIDE approach.
  • Incorporated risk metrics such as risk impact, risk possibility, and risk threshold into the testing process.
  • Evaluated the proposed system using system models like LMS, ATM, OBS, OSS, and MTRS.

Main Results:

  • The proposed method effectively identifies system states with high risks, improving overall testing efficiency.
  • Achieved a Test Suite Reduction Rate (TSRR) ranging from 13.16% to 21.43%.
  • Attained up to 91.49% Finite State Machine (FSM) coverage, demonstrating comprehensive testing.

Conclusions:

  • Combining risk analysis with STRIDE threat modeling offers a more effective approach to security testing.
  • The proposed method leads to a reduced test suite, optimizing test case selection and execution time.
  • This risk-driven strategy enhances testing efficiency by focusing on critical system vulnerabilities.