Table of Contents
Fetching ...

Detecting Privilege Escalation with Temporal Braid Groups

Christophe Parisel

TL;DR

Within the Strongly Connected Components (SCCs) formed during the temporal evolution of a Cloud permission graph, the Burau Lyapunov exponent LE is used as an algebraic probe to locate the boundary between two risks regimes, proving that no Abelian statistic can determine LE.

Abstract

Within the Strongly Connected Components (SCCs) formed during the temporal evolution of a Cloud permission graph, we use the Burau Lyapunov exponent LE as an algebraic probe to locate the boundary between two risks regimes. We prove that no Abelian statistic (edge counts, net privilege flow, gate-firing rates) can determine LE. The non-commutation advantage is small, but actionable: we show how to leverage it to discriminate the two outstanding risk regimes, that we call dispersed and focused, for automating classification and governing remediation of risky Cloud permission flows.

Detecting Privilege Escalation with Temporal Braid Groups

TL;DR

Within the Strongly Connected Components (SCCs) formed during the temporal evolution of a Cloud permission graph, the Burau Lyapunov exponent LE is used as an algebraic probe to locate the boundary between two risks regimes, proving that no Abelian statistic can determine LE.

Abstract

Within the Strongly Connected Components (SCCs) formed during the temporal evolution of a Cloud permission graph, we use the Burau Lyapunov exponent LE as an algebraic probe to locate the boundary between two risks regimes. We prove that no Abelian statistic (edge counts, net privilege flow, gate-firing rates) can determine LE. The non-commutation advantage is small, but actionable: we show how to leverage it to discriminate the two outstanding risk regimes, that we call dispersed and focused, for automating classification and governing remediation of risky Cloud permission flows.
Paper Structure (71 sections, 7 theorems, 29 equations, 6 figures, 7 tables)

This paper contains 71 sections, 7 theorems, 29 equations, 6 figures, 7 tables.

Key Result

Proposition 3.4

The Burau matrix at $t = -1$ of $\sigma_i^2 \sigma_{i+1}^{-1}$ has characteristic polynomial with roots $\{1, 2+\sqrt{3}, 2-\sqrt{3}\}$. The dominant eigenvalue is $2 + \sqrt{3} \approx 3.732$.

Figures (6)

  • Figure 1: Adjacent-position cancellation: $\sigma_i^2 \sigma_{i+1}^{-1} \cdot \sigma_{i+1}^2 \sigma_{i+2}^{-1}$ collapses to a Burau-flat braid with spectral radius $1$.
  • Figure 2: The injection word $\sigma_1^2\sigma_2^{-1}$ on three strands. Two positive crossings of strands 1--2 followed by one negative crossing of strands 2--3 produce a genuinely non-Abelian braid with SR $= 2+\sqrt{3}$.
  • Figure 3: SCC 216: 9 directed (solid) and 2 bidirectional edges (paired, 40% opacity). $v_3$ is the directed fan-out hub; $v_2{\leftrightarrow}v_4$ and $v_2{\leftrightarrow}v_5$ are local bidir oscillators.
  • Figure 4: SCC 207: 10 directed (solid) and 4 bidirectional edges (paired, 40% opacity). $v_1$ is the bidir hub connected to $v_0$, $v_2$, $v_5$; $v_3$ and $v_4$ are directed fan-out sources sharing a bidir link.
  • Figure 5: SCC 126: 9 directed (solid) and 3 bidirectional edges (paired, 40% opacity). $v_1$ and $v_5$ are dual directed sources; $v_4$ is the bidir hub.
  • ...and 1 more figures

Theorems & Definitions (27)

  • Definition 3.1: Directed WAR flow
  • Definition 3.2: Gate condition
  • Definition 3.3: Permission braid with word injection
  • Proposition 3.4: Spectral radius of the injection word
  • proof : Proof sketch
  • Definition 4.1: Unreduced Burau representation
  • Definition 4.2: Lyapunov exponent
  • Definition 4.3: $T$-scaling ratio
  • Definition 4.4: $k$-hub SCC
  • Definition 4.5: Spoke-covered $k$-hub SCC
  • ...and 17 more