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ChatGPT for Cybersecurity Cookbook

You're reading from   ChatGPT for Cybersecurity Cookbook Learn practical generative AI recipes to supercharge your cybersecurity skills

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781805124047
Length 372 pages
Edition 1st Edition
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Author (1):
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Clint Bodungen Clint Bodungen
Author Profile Icon Clint Bodungen
Clint Bodungen
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Getting Started: ChatGPT, the OpenAI API, and Prompt Engineering FREE CHAPTER 2. Chapter 2: Vulnerability Assessment 3. Chapter 3: Code Analysis and Secure Development 4. Chapter 4: Governance, Risk, and Compliance (GRC) 5. Chapter 5: Security Awareness and Training 6. Chapter 6: Red Teaming and Penetration Testing 7. Chapter 7: Threat Monitoring and Detection 8. Chapter 8: Incident Response 9. Chapter 9: Using Local Models and Other Frameworks 10. Chapter 10: The Latest OpenAI Features 11. Index 12. Other Books You May Enjoy

Network Traffic Analysis and Anomaly Detection with PCAP Analyzer

In the constantly evolving landscape of cybersecurity, keeping tabs on network traffic is crucial. Traditional methods often involve using specialized network monitoring tools and considerable manual effort. This recipe takes a different approach by leveraging the OpenAI API in conjunction with Python’s SCAPY library. By the end of this recipe, you’ll learn how to analyze a PCAP file containing captured network traffic and identify potential anomalies or threats, all without the need for real-time API calls. This makes the analysis not only insightful but also cost-effective. Whether you’re a cybersecurity newbie or a seasoned professional, this recipe offers a novel way to bolster your network security measures.

Getting ready

Before diving into this recipe, ensure you have your OpenAI account set up and your API key on hand. If not, you should refer back to Chapter 1 for the necessary setup...

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