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Ahmed Awad (NullC0d3)
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AnubisX Algorithms

The AnubisX Framework implements 37 specific algorithms across five behavioral modalities: stylometric, chrono-profiling, terminal profiling, network analysis, and media forensics.

Algorithm Distribution by Modality

Stylometric (ALG-001 to ALG-004)

4 algorithms for linguistic style analysis, authorship attribution, and writeprints.

  1. ALG-001: Character-level n-gram analysis
  2. ALG-002: Word frequency and stopword analysis
  3. ALG-003: Part-of-speech tagging and syntactic patterns
  4. ALG-004: Readability scores and linguistic complexity metrics

Chrono-Profiling (ALG-005 to ALG-008)

4 algorithms for temporal behavior patterns, activity rhythms, and posting schedules.

  1. ALG-005: Circadian rhythm analysis and peak activity detection
  2. ALG-006: Day-of-week patterns and weekly activity cycles
  3. ALG-007: Response time analysis and latency patterns
  4. ALG-008: Session duration and inter-event time analysis

Terminal Profiling (ALG-009 to ALG-012)

4 algorithms for command-line patterns, shell behavior, and tool usage signatures.

  1. ALG-009: Command frequency and sequencing analysis
  2. ALG-010: Argument pattern recognition and flag usage analysis
  3. ALG-011: Working directory and navigation pattern analysis
  4. ALG-012: Tool chaining and pipeline construction analysis

Network Analysis (ALG-013 to ALG-016)

4 algorithms for social graph analysis, interaction patterns, and community detection.

  1. ALG-013: Node centrality measures (degree, betweenness, closeness)
  2. ALG-014: Community detection and clustering algorithms
  3. ALG-015: Link prediction and association rule mining
  4. ALG-016: Temporal network analysis and evolution tracking

Media Forensics (ALG-017 to ALG-020)

4 algorithms for image metadata, editing artifacts, and content analysis.

  1. ALG-017: EXIF and IPTC metadata extraction and analysis
  2. ALG-018: Image level analysis and noise pattern detection
  3. ALG-019: Compression artifact analysis and quantization table inspection
  4. ALG-020: Color histogram analysis and perceptual hashing

Algorithm Categories and Functions

Descriptive Analytics

Algorithms that summarize and describe behavioral patterns and characteristics.

Frequency analysis, distribution fitting, summary statistics
Trend analysis, seasonality detection, cycle identification

Inferential Analytics

Algorithms that make predictions, classifications, and inferences from behavioral data.

Classification algorithms, clustering, anomaly detection
Similarity measurement, distance metrics, pattern matching

Algorithm Implementation Characteristics

Key technical attributes of the AnubisX algorithm implementations:

Deterministic & Reproducible

All algorithms produce consistent results given identical inputs, ensuring reproducibility and verifiability.

Computationally Efficient

Algorithms are optimized for performance with linear or near-linear time complexity where possible.

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