Cybersecurity measures for protecting IoT devices
Table Of Contents
<p>1. Introduction<br> 1.1 Evolution of virtual assistants<br> 1.2 Motivation for developing a virtual assistant<br> 1.3 Objectives of the project<br>2. Natural Language Understanding and Processing<br> 2.1 Speech recognition and text understanding<br> 2.2 Intent recognition and entity extraction<br>3. Dialogue Management and Task Execution<br> 3.1 Dialogue state tracking<br> 3.2 Task-oriented dialogue systems<br>4. Machine Learning Models for Virtual Assistants<br> 4.1 Supervised learning for intent classification<br> 4.2 Reinforcement learning for dialogue policy<br>5. Integration with External Services and APIs<br> 5.1 Accessing external data sources<br> 5.2 Performing tasks through API calls<br></p>
Thesis Abstract
<p> This project aims to investigate cybersecurity measures for protecting Internet of Things (IoT) devices from potential security threats and attacks. The project will focus on understanding the unique challenges posed by IoT devices, such as resource constraints and diverse communication protocols, and will explore security solutions, including encryption, authentication, and intrusion detection systems. <br></p>Thesis Overview
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