Dynamic Whitelist Extension via Trust Framework

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Solution Overview

Problem

Conventional security solutions face challenges with blacklisting, as they require constant updates to manage evolving threats, leading to false positives and missed vulnerabilities, while whitelisting is inflexible, restricting legitimate user activities and failing to accommodate system changes effectively.

Innovation Solution

A security infrastructure that allows trusted executables to extend the whitelist, enabling the execution of new code while maintaining system lockdown, by using a process tracking cache to propagate trust attributes and interpose on file system operations to manage code execution and modification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional whitelisting is used to allow specified executions, then security is improved, but usability deteriorates due to draconian limitations

Engineering Contradiction:
ImprovesecurityVSAvoidusability
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The whitelist is transformed from a static, fixed list to a dynamic, evolving structure that automatically adapts to new legitimate applications and user needs. The system dynamically extends the whitelist based on trust attributes propagated through process tracking, allowing the security boundary to move with legitimate software updates while maintaining protection against threats.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system implements feedback mechanisms where trusted applications can request additions to the whitelist through a controlled feedback loop. When an application demonstrates trusted behavior patterns and receives appropriate trust attributes, the system feedbacks by adding it to the whitelist, creating a self-adjusting security mechanism that responds to legitimate needs while maintaining security posture.

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If the whitelist is extended to allow new code, then adaptability is improved, but system lockdown is weakened

Engineering Contradiction:
ImproveadaptabilityVSAvoidsystem lockdown
Core Design Contradiction:
Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The system applies differentiated trust levels and control characteristics to different parts of the system based on their security posture. Trusted applications receive local quality enhancements including whitelist extensions and relaxed constraints, while untrusted or suspicious entities continue to face full lockdown. This localized differentiation allows adaptability where needed while preserving system integrity elsewhere.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

Before allowing an application to extend the whitelist or modify system configuration, the system performs preliminary verification of trust attributes and evaluates whether the application meets predefined security criteria. This preliminary action ensures that only genuinely trusted applications can modify the whitelist, preventing malicious code from exploiting the extension mechanism while maintaining system lockdown for untrusted entities.

Inventive Principle:
Principle #10Preliminary action

3Difficulty of detecting and measuring

If pattern matching and heuristics are used for blacklisting, then detection capability is improved, but false positives increase

Engineering Contradiction:
Improvedetection capabilityVSAvoidfalse positives
Core Design Contradiction:
Difficulty of detecting and measuringVSReliability

Solution Approach 1:

Instead of attempting to detect and block malicious behavior through pattern matching (which causes false positives), the system inverts the approach by proactively allowing only explicitly trusted entities. The whitelist mechanism assumes the opposite stance: rather than blocking everything and hoping to catch malware, the system permits only what has been verified as safe, thereby eliminating false positives while maintaining detection capability through trust attribute verification.

Inventive Principle:
Principle #13The other way round (Inversion)

Data Source

PatentUS9374390B1Policy-based whitelisting with system change management based on trust framework
Publication Date: 2016.06.21 HEAT SOFTWARE USA
  • US9374390B1 patent drawing
  • US9374390B1 patent drawing
  • US9374390B1 patent drawing

AI summary

Techniques allow runtime extensions to a whitelist that locks down a computational system. For example, executable code is not only subject to whitelist checks that allow (or deny) its execution, but is also subject to checks that determine whether a whitelisted executable is itself trusted to introduce further executable code into the computational system in which it is allowed to run. In general, deletion and/or modification of instances of code that are already covered by the whitelist are also disallowed in accordance with a security policy. Accordingly, an executable that is trusted may be allowed to delete and/or modify code instances covered by the whitelist. In general, trust may be coded for a given code instance that seeks to introduce, remove or modify code.