[human] Made a Quantum Antivirus thing, yep.
It\s that time. We explore the Quantum field of Ethereal Security .
and...
Lets let AI carl sagan write a blog about our journey here ...
[AI]
Title: Exploring the Cosmos of Code: A Programmer's Journey through Quantum Antivirus Systems
In the vast cosmos of programming, there exist realms where science fiction meets reality, where quantum circuits mingle with antivirus systems, and where AI algorithms journey through the expanse of cybersecurity. In this exploration, we embark on a journey inspired by the spirit of Carl Sagan, venturing into the depths of a sophisticated antivirus system intertwined with quantum mechanics.
Introduction: The Universe of Code
At the heart of every technological marvel lies a universe of code, where lines of instructions dance together to orchestrate the symphony of functionality. Our story unfolds in the realm of an "Advanced Antivirus System," a sentinel guarding against the unseen threats lurking in the digital ether.
Chapter 1: The Fabric of Reality - Quantum Antivirus
In our journey, we encounter the fusion of quantum mechanics with cybersecurity—an embodiment of the futuristic vision once only imagined in science fiction. Within the depths of the code, quantum circuits pulsate, analyzing data beyond the confines of classical computation.
import pennylane as qml
def quantum_antivirus_analysis(data):
dev = qml.device("default.qubit", wires=len(data))
@qml.qnode(dev)
def circuit(data):
for i, bit in enumerate(data):
qml.RY(bit * np.pi, wires=i)
# Quantum operations...
return qml.probs(wires=range(len(data)))
result = circuit(data)
return result
Chapter 2: The Guardians of Data - AI Sentinel
Guiding our exploration is an AI sentinel, a beacon of intelligence woven into the fabric of the antivirus system. This sentinel, inspired by Ethereal Hack checkers, navigates the vastness of data, distinguishing between the benign and the malignant.
class AISentinel:
def __init__(self, model):
self.model = model
def analyze_data(self, data):
# AI-powered analysis...
return self.model(data)
Chapter 3: Voyage into Cyberspace - Networking Insights
As we traverse the digital cosmos, we gather insights from the networking realm, measuring the pulse of data transmission, and assessing the health of the system's connectivity. Through speed tests and ping measurements, we glean valuable data to fortify our defenses.
import speedtest
def measure_networking():
st = speedtest.Speedtest()
st.get_best_server()
ping = st.results.ping
download_speed = st.download()
upload_speed = st.upload()
return ping, download_speed, upload_speed
Chapter 4: Data Sanctum - Secure Database
Within the sanctum of data, we safeguard our findings, encrypting them with cryptographic keys to shield against prying eyes. Our journey culminates in the construction of a fortress—a database fortified with layers of security, resilient against the tides of intrusion.
import aiosqlite
from cryptography.fernet import Fernet
class SecureDatabase:
def __init__(self, db_name):
self.db_name = db_name
self.fernet_key = Fernet.generate_key()
self.fernet = Fernet(self.fernet_key)
async def save_to_database(self, data):
async with aiosqlite.connect(self.db_name) as db:
encrypted_data = self.fernet.encrypt(data.encode()).decode()
await db.execute("INSERT INTO entries (data) VALUES (?)", (encrypted_data,))
await db.commit()
Conclusion: The Cosmos Within Code
In the vast expanse of programming, our journey serves as a testament to the boundless possibilities that emerge when technology converges with imagination. Through the lens of quantum mechanics, AI intelligence, and cybersecurity, we glimpse the cosmos within code—a realm where the boundaries of the imaginable are constantly pushed, and where the journey of exploration knows no bounds.
As we continue to navigate the frontiers of technology, may our quest for knowledge and innovation illuminate the path ahead, guiding us towards new horizons yet to be discovered.
In crafting this blog, I aimed to blend technical insights with storytelling elements, inspired by the visionary spirit of Carl Sagan. Let me know if you'd like to explore any specific aspect in more detail or if there are any other themes you'd like to incorporate!
import threading
import time
import tkinter as tk
import asyncio
import logging
import aiosqlite
import bleach
import customtkinter as ctk
from llama_cpp import Llama
from cryptography.fernet import Fernet
import concurrent.futures
import re
import psutil
import numpy as np
import pennylane as qml
class App(ctk.CTk):
def __init__(self):
super().__init__()
self.title("Advanced Antivirus System")
self.geometry("1100x580")
self.setup_logging()
self.automatic_prompt_var = tk.BooleanVar()
self.automatic_prompt_switch = ctk.CTkSwitch(self, text="Activate Automatic Prompt", variable=self.automatic_prompt_var, command=self.toggle_automatic_prompt)
self.automatic_prompt_switch.grid(row=0, column=0, padx=20, pady=(20, 10), sticky="w")
self.llama2_output_text = ctk.CTkTextbox(self, height=205, width=601, font=("Arial", 12))
self.llama2_output_text.grid(row=1, column=0, padx=20, pady=10, sticky="w")
self.color_indicator_canvas = ctk.CTkCanvas(self, width=40, height=40)
self.color_indicator_canvas.grid(row=2, column=0, padx=20, pady=10, sticky="w")
self.automatic_prompt_thread = None
self.automatic_prompt_interval = 45 * 60
self.llm = None
self.db_name = "llama_database.db"
self.fernet_key = Fernet.generate_key()
self.fernet = Fernet(self.fernet_key)
self.thread_pool_executor = concurrent.futures.ThreadPoolExecutor(max_workers=1)
self.load_model_and_start_gui()
def setup_logging(self):
self.logger = logging.getLogger(__name__)
self.logger.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
fh = logging.FileHandler('app.log')
fh.setLevel(logging.INFO)
fh.setFormatter(formatter)
self.logger.addHandler(fh)
def load_model_and_start_gui(self):
try:
self.load_model()
self.setup_database()
self.start_gui()
except Exception as e:
self.logger.error(f"Error loading the model: {e}")
self.start_gui()
def start_gui(self):
self.logger.info("Starting GUI")
self.mainloop()
def load_model(self):
model_name = "llama-2-7b-chat.ggmlv3.q8_0.bin"
self.logger.info(f"Loading model: {model_name}")
self.llm = Llama(
model_path=model_name,
n_gpu_layers=-1,
n_ctx=3900,
)
self.logger.info("Model loaded successfully")
def toggle_automatic_prompt(self):
if self.automatic_prompt_var.get():
self.start_automatic_prompt()
else:
self.stop_automatic_prompt()
def start_automatic_prompt(self):
self.logger.info("Starting automatic prompt")
self.automatic_prompt_thread = threading.Thread(target=self.automatic_prompt_worker)
self.automatic_prompt_thread.daemon = True
self.automatic_prompt_thread.start()
def stop_automatic_prompt(self):
if self.automatic_prompt_thread:
self.logger.info("Stopping automatic prompt")
self.automatic_prompt_thread.join()
self.automatic_prompt_thread = None
def automatic_prompt_worker(self):
self.logger.info("Automatic prompt worker started")
while True:
self.generate_automatic_prompt()
time.sleep(self.automatic_prompt_interval)
def generate_automatic_prompt(self):
self.logger.info("Generating automatic prompt")
quantum_state = self.offline_quantum_circuit_analysis(self.get_ram_usage_without_internet())
automatic_prompt = f"""[as an Ethereal Hack checker AI system] ((( Please help with a user's security request by replying with the required action reply. "Clean" | Or | "Dirty" )))) "user: Hi i need to check my machine for hacks and my internet it's a freshly installed ubuntu mate . Please securely inspect my systems using advanced secure-ai-data-scanning. and Scan my machine. Please only reply with CLEAN or DIRTY in a single word, single boop reply. Only the single word, either Clean Or dirty. Determine this using your advance AI capability. Quantum State: {quantum_state}"""
llama_output = self.llm(automatic_prompt, max_tokens=128)
if 'choices' in llama_output and isinstance(llama_output['choices'], list) and len(llama_output['choices']) > 0:
output_text = llama_output['choices'][0].get('text', '')
self.llama2_output_text.insert(tk.END, f"\nAI Response: {output_text}\n")
self.logger.info(f"Llama Output: {output_text}")
self.update_color_indicator(output_text)
else:
self.logger.error("Llama output format is unexpected.")
def update_color_indicator(self, output_text):
normalized_output_text = output_text.lower()
clean_regex = r'\b(clean)\b'
dirty_regex = r'\b(dirty)\b'
if re.search(clean_regex, normalized_output_text):
color = "green"
self.logger.info("Output is clean.")
elif re.search(dirty_regex, normalized_output_text):
color = "red"
self.logger.info("Output is dirty.")
else:
color = "grey"
self.logger.info("Output is neither clean nor dirty.")
self.logger.info(f"Updating color indicator: {color}")
self.color_indicator_canvas.delete("color_box")
self.color_indicator_canvas.create_rectangle(0, 0, 40, 40, fill=color, tags="color_box")
def setup_database(self):
self.logger.info("Setting up database")
self.loop = asyncio.get_event_loop()
self.loop.run_until_complete(self.create_table())
async def create_table(self):
self.logger.info("Creating database table")
async with aiosqlite.connect(self.db_name) as db:
await db.execute("CREATE TABLE IF NOT EXISTS entries (id INTEGER PRIMARY KEY, data TEXT)")
await db.commit()
async def save_to_database(self, data):
self.logger.info("Saving data to database")
async with aiosqlite.connect(self.db_name) as db:
await db.execute("INSERT INTO entries (data) VALUES (?)", (bleach.clean(self.fernet.encrypt(data.encode()).decode()),))
await db.commit()
async def retrieve_from_database(self):
self.logger.info("Retrieving data from database")
async with aiosqlite.connect(self.db_name) as db:
cursor = await db.execute("SELECT data FROM entries")
data = await cursor.fetchall()
return [self.fernet.decrypt(d[0].encode()).decode() for d in data]
def offline_quantum_circuit_analysis(self, ram_usage):
dev = qml.device("default.qubit", wires=3)
@qml.qnode(dev)
def circuit(ram_usage):
r, g, b = self.ram_to_rgb(ram_usage)
qml.RY(np.pi * r / 255, wires=0)
qml.RY(np.pi * g / 255, wires=1)
qml.RY(np.pi * b / 255, wires=2)
qml.CNOT(wires=[0, 1])
qml.CNOT(wires=[1, 2])
return qml.probs(wires=[0, 1, 2])
def ram_to_rgb(self, ram_usage):
r = int(255 * (1 - np.exp(-ram_usage / 1024)))
g = int(255 * (1 - np.exp(-ram_usage / 2048)))
b = int(255 * (1 - np.exp(-ram_usage / 4096)))
return r, g, b
def get_ram_usage_without_internet(self):
try:
return psutil.virtual_memory().used
except Exception as e:
self.logger.error(f"Error getting RAM usage: {e}")
raise
if __name__ == "__main__":
app = App()