Implemented in C Version 1.0

ChaosStream

A high-performance chaos-based cryptographic system

Designed & Implemented by Enigmatikk Hornoiu Dragos Ionut

Mathematical Foundation

Core Components

\begin{aligned} \text{Block Size} &= 64 \text{ bytes} = 512 \text{ bits} \\ \text{Key Size} &= 32 \text{ bytes} = 256 \text{ bits} \\ \text{IV Size} &= 16 \text{ bytes} = 128 \text{ bits} \\ \text{Rounds} &= 8 \\ \text{S-Box Size} &= 256 \text{ bytes} \\ \text{Diffusion Matrix} &= 4 \times 4 \text{ (32-bit elements)} \end{aligned}

Chaotic System

\begin{aligned} x_{n+1} &= r \cdot x_n(1-x_n), \quad r = \text{CHAOSSTREAM\_LOGISTIC\_R} \\ x_n &\in (0,1), \quad x_n = 0.5 \text{ if } x_n \notin (0,1) \\ \text{Initial } x_0 &= \frac{\text{hash}(\text{key} \| \text{iv})}{2^{32}} \\ \text{hash}(m) &= \bigoplus_{i=0}^{\lfloor len/4 \rfloor} \text{rotl}(m_i + \phi, 13) \end{aligned}

Key Processing

\begin{aligned} \text{RoundKey}_{i,j} &= \text{Mix}(L_j, K_j \oplus (i \cdot \phi)) \\ L_j &= \lfloor x_j \cdot 2^{32} \rfloor \text{ (Logistic value)} \\ K_j &= \text{key\_words}[j \bmod 8] \text{ (32-bit key word)} \\ \phi &= \text{GOLDEN\_RATIO} = \frac{1 + \sqrt{5}}{2} \\ \text{key\_words}[i] &= \text{load32\_le}(\text{key} + 4i) \\ \text{Mix}(a,b,c) &= \text{RotL}(a \oplus b, 7) + c \end{aligned}

S-Box Generation

\begin{aligned} \text{Initialize: } & S[i] = i, \quad \forall i \in [0,255] \\ \text{Shuffle: } & j = (j + S[i] + \text{Key}[i \bmod 32]) \bmod 256 \\ & S[i] \leftrightarrow S[j] \text{ (Swap operation)} \\ \text{Inverse: } & \text{InvS}[S[i]] = i, \quad \forall i \in [0,255] \\ \text{Apply: } & y = S[x] \text{ (Forward)} \\ & x = \text{InvS}[y] \text{ (Inverse)} \end{aligned}

Block Processing

\begin{aligned} \text{Mix}(a,b,c) &= \text{RotL}(a \oplus b, 7) + c \\ \text{RotL}(x,n) &= (x \ll n) \mid (x \gg (32-n)) \\ \text{Block}_i &= \text{Mix}(\text{Block}_{i-1}, \text{RoundKey}_r) \\ \text{Diffusion}(x) &= \sum_{j=0}^3 M_{i,j} \cdot x_j \bmod 2^{32} \end{aligned}

SIMD Optimizations

\begin{aligned} \text{AVX2: } & 8 \text{ blocks } \times 64 \text{ bytes} = 512 \text{ bytes/iteration} \\ \text{SSE2: } & 4 \text{ blocks } \times 64 \text{ bytes} = 256 \text{ bytes/iteration} \\ \text{Scalar: } & 1 \text{ block } \times 64 \text{ bytes} = 64 \text{ bytes/iteration} \end{aligned}

Detailed Comparison with AES-256

Feature ChaosStream AES-256
Block Size 512 bits (64 bytes) 128 bits (16 bytes)
Key Size 256 bits (32 bytes) 256 bits (32 bytes)
Rounds 8 rounds with dynamic operations 14 rounds with fixed operations
Design Stream Cipher with Chaotic System
Dynamic state evolution
Key-dependent operations
Block Cipher with SPN Network
Fixed state transitions
Static operations
State Update Continuous via Logistic Map
Non-linear feedback
Key-dependent transitions
Fixed SubBytes operation
Linear MixColumns
Static ShiftRows
Key Schedule Dynamic generation using chaos
Continuous key evolution
Non-linear expansion
Static Rcon-based schedule
Fixed expansion pattern
Linear key derivation
Parallelization Software SIMD (AVX2/SSE2)
Multi-threading support
Dynamic block processing
Hardware AES-NI
Fixed instruction set
ECB/CTR parallelization
S-Box Key-dependent 256-byte table
Dynamic generation
Inverse computation
Fixed GF(2⁸) inverse mapping
Affine transformation
Static lookup table
Diffusion Dynamic 4x4 matrix
32-bit word operations
Key-dependent mixing
Fixed MixColumns matrix
8-bit operations
Static coefficients
Security Properties Chaos-based security
Dynamic avalanche effect
Key-dependent patterns
Algebraic security
Fixed diffusion patterns
Proven resistance
Performance Optimized for modern CPUs
Larger blocks, fewer rounds
Software acceleration
Hardware optimization
Smaller blocks, more rounds
Dedicated instructions

Key Architectural Differences:

  • State Evolution: ChaosStream employs a continuous, chaotic state evolution through the logistic map (xₙ₊₁ = r·xₙ(1-xₙ)), creating unpredictable, key-dependent transformations. AES uses fixed, predetermined state transitions through its SPN network.
  • Block Processing: ChaosStream processes 512-bit blocks using 32-bit word operations and dynamic matrices, optimized for modern CPU architectures. AES operates on 128-bit blocks using 8-bit operations and fixed transformations.
  • Key Integration: ChaosStream deeply integrates the key into its operations, affecting the S-Box, diffusion matrix, and state evolution. AES uses the key primarily in AddRoundKey operations with a fixed key schedule.
  • Performance Design: ChaosStream is designed for software optimization with SIMD and multi-threading, processing larger blocks with fewer rounds. AES is optimized for hardware implementation with dedicated instructions (AES-NI).
  • Security Model: ChaosStream bases its security on chaos theory and dynamic systems, creating key-dependent transformations. AES relies on proven algebraic structures and fixed transformations with established security properties.

System Architecture

flowchart LR %% Input Section subgraph Input ["Input Processing"] K["256-bit Key"] --> KE["Key Expansion"] IV["128-bit IV"] --> KE end %% Key Processing subgraph KeyGen ["Key Generation"] KE --> RK["Round Keys"] KE --> SB["S-Box"] KE --> DM["Diffusion"] %% Chaotic System LM["Logistic Map"] RK <--> LM end %% Encryption Process subgraph Encrypt ["Encryption"] P["Plaintext"] --> BLK["Block Process"] RK --> BLK SB --> BLK DM --> BLK BLK --> XOR["Mix & XOR"] XOR --> C["Ciphertext"] end %% SIMD Optimization subgraph Opt ["Optimizations"] direction TB AVX["SIMD (AVX2/SSE2)"] THR["Multi-threading"] AVX --> BLK THR --> BLK end %% Styling classDef input fill:#262626,stroke:#ffffff,stroke-width:2px classDef process fill:#1a1a1a,stroke:#ffffff,stroke-width:2px classDef state fill:#333333,stroke:#ffffff,stroke-width:2px classDef opt fill:#404040,stroke:#ffffff,stroke-width:2px class K,IV,P,C input class KE,RK,SB,DM,BLK,XOR process class LM state class AVX,THR opt

Implementation Details

Core Encryption Process

// Initialize chaotic state
x = initial_state;
for (int round = 0; round < ROUNDS; round++) {
    // Generate chaotic value
    x = r * x * (1 - x);
    
    // Apply non-linear transformation
    state = mix(state, x);
    
    // Apply S-box substitution
    for (int i = 0; i < BLOCK_SIZE; i++) {
        state[i] = sbox[state[i]];
    }
    
    // Mix with round key
    state ^= generate_round_key(x);
}

Performance Optimizations

  • → SIMD vectorization (AVX2/SSE2)
  • → Cache-aligned memory access
  • → Branch-free operations
  • → Parallel block processing

Implementation Guide

Integration Methods

1. Static Library

gcc -c ChaosStream.c -o ChaosStream.o
ar rcs libchaosstream.a ChaosStream.o

Link with: -lchaosstream

2. Shared Library

gcc -shared -fPIC ChaosStream.c -o libchaosstream.so

Link with: -lchaosstream

3. Direct Source Integration

// Include in your project
#include "ChaosStream.h"

Usage Examples

File Encryption

#include "ChaosStream.h"

void encrypt_file(const char* input_file, const char* output_file) {
    uint8_t key[32], iv[16];
    // Generate secure key and IV
    chaosstream_generate_key(key);
    chaosstream_generate_iv(iv);
    
    // Create context
    ChaosStreamContext* ctx = chaosstream_create();
    chaosstream_init(ctx, key, iv);
    
    // Read file and encrypt
    // ... (file handling code)
    
    chaosstream_free(ctx);
}

Real-World Applications

  • Secure Communications

    Implement in network protocols for real-time data encryption

  • File Systems

    Integrate with file system drivers for transparent encryption

  • Database Security

    Use for column-level encryption in database systems

  • IoT Devices

    Lightweight encryption for resource-constrained devices

Performance Considerations

  • Enable SIMD optimizations during compilation for best performance
  • Use multi-threading for large data sets (>4KB)
  • Align data to 64-byte boundaries for optimal cache usage
  • Pre-allocate contexts for repeated operations

Security Analysis

Lyapunov Exponent

\lambda = \lim_{n \to \infty} \frac{1}{n} \sum_{i=0}^{n-1} \ln |r(1-2x_i)|

Positive Lyapunov exponent (λ ≈ 0.693) confirms chaotic behavior and sensitivity to initial conditions.

Diffusion Analysis

P(flip) = \frac{\sum_{i=1}^{n} |C_i \oplus C_i'|}{n}

Avalanche effect measurement shows approximately 50% bit-flip probability for single-bit input changes.