Cyber Security Reseach
Selected work
Optimal Buy Price Prediction Using D-Wave Quantum Computing
The main goal is to identify the most optimal buy prices by applying a Binary Quadratic Model (BQM) to simulate decision-making with the stock's historical price data. The model simulates a simple trading strategy, where "Buy" signals are generated, and D-Wave’s quantum sampler helps find the best prices to buy.
Key Features:
Data Simulation: We generate buy signals at arbitrary intervals (every odd index).
Quantum Optimization: Using D-Wave’s quantum computing resources, we solve a Binary Quadratic Model (BQM) to maximize our profit and minimize penalties for selling.
Optimal Buy Price: The program calculates and outputs the most optimal price to buy based on the BQM’s solution
Example Project see Github link below
Artificial Intelligent Unbleached
This book focuses on two practical programming examples of AI applications: an AI-driven Hacking Machine and an AI Cybersecurity Assistant for Q&A tasks related to specific knowledge databases, such as eBooks.
This book is designed to equip candidates with the knowledge and skills needed to excel in these demanding roles, specifically focusing on the requirements of an emerging AI Engineer or Developer. The meticulously planned and designed content of this book addresses the latest trends and challenges in enterprise-level AI, providing practical examples and real-world use cases using Python programming.
From understanding the fundamentals of machine learning and deep learning to optimizing and deploying AI models at scale, this book covers basic aspect of AI development for IT professionals and consultants. With a strong emphasis on best practices, performance optimization, and real-world application, this book is an invaluable resource for those looking to enter and master AI for enterprise-level projects.
Author: "Irfan Raza Ramma" Cyber Security Researcher and Consultant
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Facing Cyber Security Incident Response Challange
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