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Detecting Risky Authentication Using the OpenID Connect Token Exchange Time.

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This summary is machine-generated.

This research introduces a novel risk-based authentication (RBA) feature using OpenID Connect (OIDC) token exchange times to detect sophisticated cyber threats. This method identifies tunneled connections for enhanced network security without user intervention.

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Area of Science:

  • Cybersecurity
  • Network Security
  • Authentication Protocols

Background:

  • Traditional authentication methods are insufficient against advanced cyber threats.
  • The zero trust framework mandates a security model with no inherent trust.
  • Risk-based authentication (RBA) is crucial for zero trust environments.

Purpose of the Study:

  • To propose a novel RBA feature using OpenID Connect (OIDC) token exchange durations.
  • To enhance the detection of sophisticated cyber threats, specifically tunneled connections.
  • To align security practices with intelligent and responsive security system development.

Main Methods:

  • Utilizing the time duration of OpenID Connect (OIDC) token exchanges as a new RBA metric.
  • Analyzing OIDC token exchange timings to identify anomalies indicative of unauthorized access.
  • Implementing a system for detecting tunneled connections without browser or device interaction.

Main Results:

  • Demonstrated the feasibility of using OIDC token exchange time for RBA.
  • Successfully identified irregularities signaling potential security breaches.
  • Validated the detection of tunneled connections through timing analysis.

Conclusions:

  • The proposed OIDC token exchange timing analysis offers a novel and effective RBA feature.
  • This approach enhances security within zero trust architectures by detecting hidden threats.
  • The method provides a non-intrusive way to bolster cybersecurity defenses.