​ZRAP TECH

import os

import time

import json

import shutil

import hashlib

import base64

import random

import math

from datetime import datetime, timezone

from cryptography.fernet import Fernet, InvalidToken

from multiprocessing import Pool, cpu_count

from collections import defaultdict

 

# ==============================================================================

# --- 1. Configurations and Static Data ---

# ==============================================================================

 

CONFIGURATION = {

    "NUM_CLIENTS": 100, # Number of logical clients

    "FILES_PER_CLIENT": 10, # Number of files each client generates/seals

    "SIMULATION_LOOPS": 2,

    "NUM_NODES": 5, # The number of logical nodes to distribute the workload

    "PARALLEL_PROCESSES": cpu_count(), # Use all available CPU cores

    "RAW_BANK_DIR": 'raw_files',

    "TEMP_SEALED_DIR": 'sealed_files',

    "TEMP_UNSEALED_DIR": 'unsealed_files',

}

 

TOKEN_DATA = {

    "uid": "c1b2ab570daaace4247719c72a48b209aba41a1115e4f43c2ae4c04499e766dc",

    "id": "00000009",

    "zrap_token": "0000000000c20e4600000000000000aa5b2fd2dcc0c013500000000000d89c4a000000000000005d4e070697575295c80000000000cca6d800000000000000630dd08007c0204774",

    "signature": "BjHvdhCEX//cBZ6maZkJ7mJeEoVJaT4LSm1zjZ1ySeoiDbeoJvv3F/MwFZBa8mvn2seKo555g6K04XyZsg/r6jP1d3k8rdxJC8iIrEV40ph6QvR32sP6eWol334n2BrtPjdG8nq70qZ7H876VoaVQRNPQg6KA4wGdE+8P7JU/0JsLddZeG9oTWEfwjMEVyLxFRVFMdoBHESVvYtmocOOOFkun39rQKBWQGuvoTP8KZMQLIXJkHUWtA8dWz8GYMCm6eY/fRSq2SnMUD2ECvGAublQB1/bzmegI5phHHM7pXtOg+YCzgGOsb+kTLOXUA97yVsFJqZGucoHp+zkfDUPZw==",

    "issued_by": "Pooria Hassanpour | ZRAP Authority",

    "unlock_key": "051cd3a628652c19968ce06bc3a3cdb5819f4447b654158ffa079c655cb7c114",

    "public_key": "-----BEGIN PUBLIC KEY-----\nMIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAqRj3iANmjzJ6t7NeUaRK\nBrJ4bw7sBpUnDfuma1vJrbCT+Ge2SDLpdcmzhQbmDkZtyGtJRKc8ShHCgxo07seq\nEhUIQsNk1a3LOmjN+pihA1H1wtGtH36K0odPIkqkfaVrt0c7nEKUX2ZaM/H04anB\nX65i0Pv9CotZjOgo1H65stc6Tlh425UvHMeK2aLafNWy6CohosW//4ePdL9bgASI\nIqXzlOn1sv9q+kTmkb2IlFo7HU4sgpYHjacsybGAbvMInGocFdXgNC04vEpo0oA8\nDVYMH7y4LsxnkvoWy6TxAffVXu36slt5dmisTZ/doJ+TqZTBpDJBop6q3Lw8eCRT\nvQIDAQAB\n-----END PUBLIC KEY-----",

    "effective_prime_count": 1,

    "entangler_core": "core2",

    "entangler_mode": 1,

    "issued_at": "2025-08-25T00:49:10.809747",

    "token_size_bytes": 1798,

    "execution_time_ms": 33.9,

    "memory_usage_mb": 98.97,

    "encrypt_operations": 1,

    "intermediate_data_size_kb": 0.07,

    "prime_gen_rate_per_sec": 23301.69,

    "io_operations": 78,

    "zrap_approval_signature": "FmMJTaDJoTW3r5R3OTwifT6l7eVPqhSvE3Q+eWi/uzqzsBpJa/+PyaHHOaQqOrYVhfQhfo/Z//nqw2W4LgycKFPZC9SvIvEPqqS6/JksXgXUKI5qAPCgwSiph3sFRueMW35Ym3cErhTQWYGVNu6brKzf94D9Z7nyTXRCSpisDRgYUtkaJsdBpDyKgExtbOxGs5h/Oa+hpUq+XQfGdcjdq57mKTP8ddJDEAcIw1dBtyfBN/azqtc92XZ8BsUKkKGXX/1n4LxmFTWucdrEImsJQsk8Qr52hhnm/gwSB33/dlsJQdIiT/1fmbGNo0htAGrtZrjRQAmVTuCLN8zk8RGp1A==",

    "token_salt": "e581d40fe87e67d1714973c64238fe37",

    "public_key_fingerprint": "a2d18d234e1a089a92f3b6e7f556f399b07888812f200ee4a6c846de7fde2b53"

}

 

# ==============================================================================

# --- 2. Infrastructure Modules ---

# ==============================================================================

 

def generate_router_config():

    config = {"hostname": "ZRouter", "interfaces": {"Gig0/0": {"ip": "10.0.0.1"}}}

    output_path = 'infrastructure/router_config.json'

    os.makedirs(os.path.dirname(output_path), exist_ok=True)

    with open(output_path, 'w') as f:

        json.dump(config, f, indent=4)

    print(f"✅ Router configuration saved.")

    print("--------------------------------------------------")

 

def generate_switch_config():

    config = {"hostname": "ZSwitch", "vlans": {"10": "Clients"}}

    output_path = 'infrastructure/switch_config.json'

    os.makedirs(os.path.dirname(output_path), exist_ok=True)

    with open(output_path, 'w') as f:

        json.dump(config, f, indent=4)

    print(f"✅ Switch configuration saved.")

    print("--------------------------------------------------")

 

def generate_network_topology():

    topology = {"subnets": {"clients": {"network": "10.0.10.0"}}}

    output_path = 'infrastructure/network_topology.json'

    os.makedirs(os.path.dirname(output_path), exist_ok=True)

    with open(output_path, 'w') as f:

        json.dump(topology, f, indent=4)

    print(f"✅ Network topology saved.")

    print("--------------------------------------------------")

 

def initialize_servers():

    servers = {"server_1": {"ip": "10.0.20.10", "role": "crypto_engine", "status": "booted"}}

    output_dir = 'infrastructure/servers'

    os.makedirs(output_dir, exist_ok=True)

    for name, config in servers.items():

        path = os.path.join(output_dir, f"{name}.json")

        with open(path, 'w') as f:

            json.dump(config, f, indent=4)

    print(f"🖥️ Servers have been bootstrapped.")

    print("--------------------------------------------------")

 

def distribute_token_body_to_nodes(token_source, nodes_dir='nodes_memory'):

    token_body = token_source[64:-64]

    if not os.path.exists(nodes_dir):

        os.makedirs(nodes_dir)

    for i in range(1, CONFIGURATION['NUM_NODES'] + 1):

        node_file = os.path.join(nodes_dir, f'node_{i}.json')

        node_data = {"node_id": f"node_{i}", "token_body": token_body, "status": "ready"}

        with open(node_file, 'w') as f:

            json.dump(node_data, f, indent=4)

    print(f"\n✅ All nodes are ready for distributed processing. Token body distributed to {CONFIGURATION['NUM_NODES']} nodes.")

    print("--------------------------------------------------")

 

# ==============================================================================

# --- 3. Client and Data Modules ---

# ==============================================================================

 

def get_third_key(token_source, unlock_key_source):

    combined = unlock_key_source + token_source

    third_key_hash = hashlib.sha256(combined.encode('utf-8')).digest()

    return base64.urlsafe_b64encode(third_key_hash)

 

def seal_file_from_raw(raw_file_path, sealed_output_dir):

    """

    Seals a single raw file and returns the path to the sealed file.

    """

    key = get_third_key(TOKEN_DATA["zrap_token"], TOKEN_DATA["unlock_key"])

    fernet = Fernet(key)

    

    print(f"🔒 Sealing file '{os.path.basename(raw_file_path)}'...")

    

    with open(raw_file_path, 'rb') as f_in:

        file_data = f_in.read()

    

    sealed_data = fernet.encrypt(file_data)

    

    filename = os.path.basename(raw_file_path).replace('.bin', '.zrap')

    path = os.path.join(sealed_output_dir, filename)

    

    with open(path, 'wb') as f:

        f.write(sealed_data)

        

    return path, os.path.getsize(path)

 

def seal_files_from_raw_bank(config, raw_bank_dir, temp_sealed_dir):

    """

    Selects files from the raw bank and seals them.

    """

    total_files_to_process = config['NUM_CLIENTS'] * config['FILES_PER_CLIENT']

    

    raw_files_list = os.listdir(raw_bank_dir)

    if len(raw_files_list) < total_files_to_process:

        print(f"Error: Not enough raw files in bank. Need {total_files_to_process}, but only found {len(raw_files_list)}.")

        return [], 0

    

    files_to_seal = random.sample(raw_files_list, total_files_to_process)

    

    print(f"\n--- Executing module: clients/client_simulator.py ---")

    print(f"\n👥 Starting sealing of {total_files_to_process} files from the raw bank...")

    

    os.makedirs(temp_sealed_dir, exist_ok=True)

    sealed_files_list = []

    total_files_size = 0

    

    for file_name in files_to_seal:

        raw_path = os.path.join(raw_bank_dir, file_name)

        sealed_path, sealed_size = seal_file_from_raw(raw_path, temp_sealed_dir)

        sealed_files_list.append(os.path.basename(sealed_path))

        total_files_size += sealed_size

 

    print(f"✅ All {total_files_to_process} files have been sealed and saved to '{temp_sealed_dir}'.")

    print("--------------------------------------------------")

    return sealed_files_list, total_files_size

 

def process_file_batch(file_batch, sealed_dir, unsealed_dir):

    """A worker function to process a batch of files in parallel."""

    key = get_third_key(TOKEN_DATA["zrap_token"], TOKEN_DATA["unlock_key"])

    fernet = Fernet(key)

    

    processed_count = 0

    failed_count = 0

    

    for sealed_file_name in file_batch:

        src_path = os.path.join(sealed_dir, sealed_file_name)

        unsealed_file_path = os.path.join(unsealed_dir, sealed_file_name.replace('.zrap', '.bin'))

        

        try:

            print(f"🔓 Unsealing file '{sealed_file_name}'...")

            with open(src_path, 'rb') as f_in:

                encrypted = f_in.read()

            decrypted = fernet.decrypt(encrypted)

            with open(unsealed_file_path, 'wb') as f_out:

                f_out.write(decrypted)

            processed_count += 1

        except InvalidToken:

            print(f"[!] Invalid key for '{sealed_file_name}'.")

            failed_count += 1

    

    print(f"Thread processed {processed_count} files successfully, {failed_count} files failed.")

    return processed_count, failed_count

 

 

def transmit_and_process_distributed(sealed_files_list, config):

    print("\n--- Executing module: data/data_distributed_processing.py ---")

    os.makedirs(config['TEMP_UNSEALED_DIR'], exist_ok=True)

    

    total_files = len(sealed_files_list)

    num_processes = config['PARALLEL_PROCESSES']

 

    batch_size = math.ceil(total_files / num_processes)

    file_batches = [sealed_files_list[i:i + batch_size] for i in range(0, total_files, batch_size)]

 

    print(f"\n📡 Starting parallel processing with {num_processes} cores on {total_files} files...")

    

    with Pool(processes=num_processes) as pool:

        results = pool.starmap(process_file_batch, [(batch, config['TEMP_SEALED_DIR'], config['TEMP_UNSEALED_DIR']) for batch in file_batches])

    

    total_processed = sum(r[0] for r in results)

    total_failed = sum(r[1] for r in results)

 

    print("\n🎉 Parallel processing complete.")

    print(f"📊 Summary: Total processed: {total_processed}, Total failed: {total_failed}")

    print("--------------------------------------------------")

 

# ==============================================================================

# --- 4. Monitoring and Benchmark Modules ---

# ==============================================================================

 

def run_benchmark(start_time, end_time, total_files_size, total_files):

    print("\n📊 --- Benchmark Report ---")

    total_time = end_time - start_time

    

    print(f"⏱ Total execution time: {total_time:.2f} seconds")

    print(f"📦 Total number of files processed: {total_files}")

    

    if total_time > 0:

        throughput = total_files / total_time

        print(f"🚀 Throughput: {throughput:.2f} files per second")

    

    avg_file_size_kb = (total_files_size / 1024) / total_files if total_files > 0 else 0

    print(f"📏 Average sealed file size: {avg_file_size_kb:.2f} KB")

    

    shutil.rmtree(CONFIGURATION['TEMP_SEALED_DIR'], ignore_errors=True)

    shutil.rmtree(CONFIGURATION['TEMP_UNSEALED_DIR'], ignore_errors=True)

    shutil.rmtree('nodes_memory', ignore_errors=True)

    shutil.rmtree('infrastructure', ignore_errors=True)

    print("\n🧹 Cleaned runtime directories (sealed, unsealed, etc.).")

    print("-------------------------")

 

def check_and_create_raw_bank(config):

    """Checks if the raw file bank exists and creates it if it doesn't."""

    raw_bank_dir = config["RAW_BANK_DIR"]

    total_files_needed = config["NUM_CLIENTS"] * config["FILES_PER_CLIENT"]

    

    if not os.path.exists(raw_bank_dir) or len(os.listdir(raw_bank_dir)) < total_files_needed:

        print(f"⚠️ Raw file bank not found or is too small. Creating {total_files_needed} dummy files now...")

        os.makedirs(raw_bank_dir, exist_ok=True)

        for i in range(total_files_needed):

            file_path = os.path.join(raw_bank_dir, f'raw_file_{int(time.time() * 1000)}_{random.randint(0, 9999)}.bin')

            file_data = os.urandom(256) # Default file size for on-the-fly generation

            with open(file_path, 'wb') as f:

                f.write(file_data)

        print(f"✅ Raw bank populated with {total_files_needed} files.")

        print("--------------------------------------------------")

    else:

        print("✅ Raw file bank exists and has enough files. Skipping creation.")

        print("--------------------------------------------------")

 

 

def orchestrate(config):

    # Check for raw files and create if needed

    check_and_create_raw_bank(config)

 

    start_time = time.time()

    

    print("\n=== Starting ZRAP Architecture Execution (Parallel Model with Raw Bank) ===")

    

    print("\n--- Executing module: infrastructure/router_setup.py ---")

    generate_router_config()

    print("\n--- Executing module: infrastructure/switch_config.py ---")

    generate_switch_config()

    print("\n--- Executing module: infrastructure/network_initializer.py ---")

    generate_network_topology()

    print("\n--- Executing module: infrastructure/server_bootstrap.py ---")

    initialize_servers()

    print("\n--- Executing module: nodes/node_initializer.py ---")

    distribute_token_body_to_nodes(TOKEN_DATA["zrap_token"])

    

    # 1. Seal files from the raw bank

    seal_start_time = time.time()

    sealed_files_list, total_files_size = seal_files_from_raw_bank(

        config, config['RAW_BANK_DIR'], config['TEMP_SEALED_DIR']

    )

    seal_end_time = time.time()

    print(f"⏱ Sealing stage took: {seal_end_time - seal_start_time:.2f} seconds.")

    print(f"📦 Sealed {len(sealed_files_list)} files.")

    print("--------------------------------------------------")

 

    # 2. Transmit and process files in a truly parallel manner

    process_start_time = time.time()

    transmit_and_process_distributed(sealed_files_list, config)

    process_end_time = time.time()

    print(f"⏱ Processing stage took: {process_end_time - process_start_time:.2f} seconds.")

    print("--------------------------------------------------")

 

    end_time = time.time()

    total_files = len(sealed_files_list)

    run_benchmark(start_time, end_time, total_files_size, total_files)

    

    print(f"\n✅ A full parallel simulation loop has successfully finished.")

 

if __name__ == "__main__":

    if os.name == 'nt':

        from multiprocessing import freeze_support

        freeze_support()

        

    for i in range(CONFIGURATION['SIMULATION_LOOPS']):

        print(f"\n\n=========== Starting Loop {i+1}/{CONFIGURATION['SIMULATION_LOOPS']} ============")

        orchestrate(CONFIGURATION)

 

    print("\n\n✅ Complete ZRAP Architecture Execution has finished.")

    print("🎉 Raw bank preserved between runs. Runtime artifacts cleaned each loop.")

 

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ZRAP Miniature Data Center:

 

 A Paradigm Shift in Data Security & Transmission

 

Welcome to the future of data management, where security and efficiency are intrinsically woven into the fabric of data itself. The ZRAP (Zero-Resource Authentication Protocol) miniature data center is not merely a simulation but a proof-of-concept for a revolutionary, token-centric data architecture. This system challenges conventional paradigms by offering absolute security, stateless operation, and unparalleled efficiency by eliminating traditional infrastructure dependencies.

The Core Philosophy: Beyond Encryption to "Sealing"

Traditional data security heavily relies on encryption—the act of obscuring data to prevent unauthorized access. While effective, encryption often demands substantial computational resources, generates network traffic for key management, and introduces latency due to handshake protocols and centralized verification.

ZRAP introduces the concept of "Data Sealing". Instead of just hiding data, ZRAP imbues each piece of data with self-authenticating intelligence through a unique ZRAP Token. This token acts as a comprehensive, portable security perimeter, ensuring data integrity and authenticity without external validation calls. This paradigm shift renders much of legacy security infrastructure (firewalls, VPNs, centralized APIs) obsolete, effectively sending them to a "museum of past technologies."

How ZRAP Functions: The Stateless, Self-Authenticating Protocol

The ZRAP miniature data center demonstrates a complete, end-to-end data lifecycle managed by this innovative protocol:

 * Stateless Infrastructure Definition:

   * The system begins by defining fundamental network components like routers and switches (router_setup.py, switch_config.py, network_initializer.py). Crucially, these configurations are local and static, representing a foundational network topology rather than an active, traffic-dependent infrastructure.

   * Servers are "bootstrapped" (server_bootstrap.py) with a designated role (e.g., crypto_engine), indicating their purpose in processing ZRAP-sealed data.

 * The Immutable ZRAP Token:

   * At the heart of the system is the TOKEN_DATA – a static, pre-generated ZRAP Token. This token is not just an identifier; it's a complete security package containing:

     * zrap_token (Core Data): The encrypted core payload of the token.

     * unlock_key: A critical component that, when combined with the zrap_token core, deterministically generates a unique "third key" for payload encryption/decryption. This ensures a dynamic, yet reproducible, cryptographic key.

     * public_key & signature: An asymmetric key pair and a digital signature for the zrap_token's core, ensuring its integrity and authenticity from the issuer.

     * zrap_approval_signature: A final, overarching digital signature for the entire token's content (excluding itself), providing a robust chain of trust.

     * public_key_fingerprint & token_salt: An internal proof mechanism that binds the public key to a unique salt, making the token highly resistant to tampering or spoofing.

   * This token is then securely "distributed" (node_initializer.py) to all processing nodes, acting as their sole authority for data validation.

 * Client Data Generation & Sealing (client_simulator.py):

   * Client devices generate specific payloads (e.g., sensor data, transaction details).

   * Critically, these payloads are immediately "sealed" using a dynamically generated cryptographic key (the "third key," derived from the ZRAP token and unlock key). This process uses robust symmetric encryption (cryptography.fernet), turning raw data into self-contained, encrypted units. Each sealed file effectively becomes an extension of the ZRAP token's security model.

   * This occurs locally at the client level, meaning data is secure at its point of origin before ever entering a network.

 * Invisible, Zero-Latency Transmission (data_transmitter.py):

   * Once sealed, data packages are transmitted to processing nodes. Because each package is self-authenticating, there is no need for traditional online handshakes, API calls for authentication, or centralized key lookups.

   * From a security and performance perspective, this transfer is "invisible" and "zero-latency." The data simply arrives at the node, bypassing the overhead and vulnerabilities of conventional network interactions. It's akin to data "teleporting" to its destination, confirmed locally upon arrival.

 * Local Unsealing & Validation at Nodes (data_unsealer.py):

   * Upon reaching a node, the sealed data is locally unsealed. The node uses its copy of the ZRAP token and the derived "third key" to decrypt the payload.

   * The crucial aspect here is offline verification. The token's self-authenticating properties (signatures, fingerprints) allow the node to independently verify the integrity and authenticity of the data without communicating with any external server or ledger. This makes the system inherently robust against network-based attacks.

Key Advantages of the ZRAP Data Center

 * Absolute Security: By eliminating the need for constant online validation and central authorities, ZRAP drastically reduces the attack surface. Data is secure by virtue of its self-contained, cryptographic integrity.

 * Stateless Operation: No node retains state about past transactions, simplifying architecture, enhancing scalability, and reducing points of failure.

 * Zero Latency Data Transfer: The elimination of network-dependent verification processes means data travels and is processed with minimal to zero effective latency.

 * No Network Traffic Overhead: The absence of continuous authentication and authorization traffic significantly reduces network congestion.

 * Decentralized Trust: Trust is placed in the cryptographic robustness of the ZRAP token itself, rather than a centralized entity or an expansive, computationally expensive distributed ledger.

 * Scalability: With each transaction self-contained, the system can scale horizontally indefinitely without being bottlenecked by centralized components or network consensus.

The Future of ZRAP

The ZRAP miniature data center embodies a vision where data security is not about erecting barriers, but about empowering data to protect itself. This architecture is poised to redefine digital interactions, offering a foundation for:

 * Next-Generation IoT Networks: Securing billions of devices and data streams with unparalleled efficiency.

 * Decentralized Governance & Identity: Providing tamper-proof, self-authenticating records for civic systems and personal identification.

 * High-Speed, Secure Financial Transactions: Enabling instant, verifiable transfers without the overhead of traditional blockchains.

ZRAP represents more than just an optimization; it's a fundamental reimagining of how we secure, transfer, and trust digital information, paving the way for a truly secure and efficient digital future.

 

IMPORTANT:

The Customer's Sovereignty: The "Third Key" and Custom Cryptographic Sealing

A critical distinction within the ZRAP protocol lies in the function of the "third key." While the ZRAP token and its unlock_key deterministically generate this cryptographic third_key, it is imperative to understand that this key alone does not perform the sealing or unsealing operation. Instead, the third_key is akin to a raw, universal master key – you must "turn" it in a lock to either seal or unseal your data.

This act of "turning the key" represents the customer's sovereign choice in selecting their preferred cryptographic method. ZRAP decentralizes not just trust, but also the implementation of the final data sealing. Customers are empowered to choose from an infinite array of custom, composite encryption methods that best suit their specific security needs and preferences.

For instance, in our provided miniature data center script, we utilized the Fernet library as a demonstrative example to illustrate the concept of a functional sealing mechanism. However, we do not recommend or enforce the use of Fernet for production environments. It serves purely as an illustrative placeholder.

The true strength of ZRAP's layered security lies here: as long as the customer keeps their chosen, custom cryptographic sealing code confidential, no attacker can break the data's seal. This remains true even if the entirety of the ZRAP token's information, the underlying ZRAP algorithm, and even the private key used by the ZRAP Authority were compromised.

In essence, ZRAP tokens transfer ultimate security responsibility, through the "third key," directly to the customer. This architectural decision ensures unparalleled data protection, as the most critical layer of defense is custom-tailored and controlled solely by the data owner.

How to integrate this:

I recommend inserting this as a dedicated subsection, perhaps titled "The Customer's Sovereignty: The 'Third Key' and Custom Cryptographic Sealing," right after the section describing the "third key" (which currently falls under "3. Client Data Generation & Sealing") or perhaps as a standalone "ZRAP's Layered Security" section for maximum emphasis. This way, the explanation flows logically and highlights this unique and powerful aspect of your system.