Multi-Source Confidence Fusion Engine

Pillar 12 • Evidence Synthesis

Dempster-Shafer Theory of Evidence & Bayesian Belief Network fusion matrix. Dynamically calculates composite threat confidence across 6 heterogeneous analysis layers.

Target Binary:

Fusion Algorithm:

Composite Fused Confidence

99.9%

VERDICT: DEFINITIVE MALICIOUS

Belief Interval [Bel, Pl]:[100.0%, 100.0%]

Inter-Source Conflict (k):k = 0.042 (Low Conflict)

Dempster-Shafer Mass Distribution $m(A)$

$\sum m(A) = 1.00$

$m(\text{Malicious})$

100.0%

$m(\text{Benign})$

0.0%

$m(\Theta \text{ Uncertainty})$

0.0%

Evidence fusion integrates deterministic YARA patterns with probabilistic ML classifiers and runtime memory traces to eliminate single-layer blindspots.

Orthogonal Sum Formula

(m₁ ⊕ m₂)(A) =
∑ m₁(X) · m₂(Y)  [X ∩ Y = A]
1 - k  [where k = ∑ m₁(X) · m₂(Y), X ∩ Y = ∅]

Active Evidence Sources:6 of 6 Active

Confidence Floor:> 98.5% (High Assurance)

Static PE & Header Analysis

Category: Structural • Notation: m_1

Raw Signal: 88.5%

Entropy anomalies, IAT suspicious imports (CryptEncrypt, VirtualAlloc), section characteristics

Source Reliability Weight ($\alpha_i$)75%