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Towards a threat assessment framework for apps collusion.

Harsha Kumara Kalutarage1, Hoang Nga Nguyen2, Siraj Ahmed Shaikh2

  • 11The Centre for Secure Information Technologies, Queen's University of Belfast, Belfast, UK.

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Summary
This summary is machine-generated.

This study introduces a method to quantify app collusion threats on Android, identifying apps that work together maliciously. This is crucial for assessing risks among millions of applications.

Keywords:
Android securityApps collusionBayesianStatistical modellingThreat assessment

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Software Engineering

Background:

  • Android's permission-based security model is insufficient to address app collusion.
  • App collusion involves multiple applications collaborating for malicious purposes.
  • Existing security measures do not adequately mitigate risks posed by cooperating apps.

Purpose of the Study:

  • To present a novel technique for quantifying the threat of app collusion.
  • To provide a foundational step for assessing app collusion risks in the Android ecosystem.
  • To enable efficient identification of potential collusion candidates among numerous apps.

Main Methods:

  • Development of a technique to measure and quantify the potential for app collusion.
  • Empirical analysis of a large, classified corpus of Android applications.
  • Utilized a dataset comprising over 29,000 Android apps.

Main Results:

  • Successfully demonstrated a method for quantifying app collusion threats.
  • The proposed technique aids in identifying apps likely to engage in collusive behavior.
  • Empirical analysis validated the effectiveness of the quantification method.

Conclusions:

  • A quantifiable approach to app collusion threat assessment is now available.
  • This method is vital for managing security risks in the vast Android app market.
  • Further research can build upon this technique to enhance Android security.