AI-Driven Intrusion Detection – A Modern Guide to Securing Distributed Systems
Book Title: AI-Driven Intrusion Detection
Author: by Mahak Shah, Hitarth Shah
ISBN: 9789363554405
Publisher: Evincepub Publishing; First Edition (9 April 2025)
Introduction
In today’s world, where data moves fast across clouds and systems are spread out, keeping things safe online is super important. The book AI-Driven Intrusion Detection by Mahak Shah and Hitarth Shah explains how to use artificial intelligence (AI) and machine learning (ML) to protect systems like AWS and Azure. It’s easy to read, full of useful info, and perfect for students, professionals, or anyone curious about cybersecurity. The book mixes deep tech knowledge with simple words, so everyone can understand how to fight cyber threats.
About the Authors
Mahak Shah works as a Senior Engineer at Splunk and has experience with big companies like Salesforce and Samsung. She has a Master’s degree from Columbia University and is great at building safe systems. She also speaks at tech events and shares her knowledge. In this book, she explains how to use AI to make cloud systems secure.
Hitarth Shah is also a Senior Engineer at Splunk, focusing on identity and authentication. He has a Master’s from North Carolina State University and knows a lot about AWS and AI-based security. He’s judged hackathons and spoken at conferences. Together, both authors make this book a mix of real-world experience and easy-to-grasp ideas.
Summary of the Book
The book has nine chapters, starting with simple ideas and moving to advanced stuff. It’s great for beginners and pros alike.
Chapter 1: Basics of Distributed Systems Security
This chapter explains how systems like microservices and clouds (AWS ECS, Azure AKS) work and why they’re easy targets for hackers. It talks about “Zero Trust,” which means every part of a system needs to be checked for safety, not just the outer layer.
Chapter 2: What is Intrusion Detection?
Here, the authors explain how intrusion detection systems (IDS) have changed from basic log-checking to smart AI systems. They describe different types of IDS (like host-based or network-based) and how AI makes them better.
Chapter 3: AI and Machine Learning Basics
This chapter is perfect for people new to AI. It explains how AI can be trained to spot cyber threats using simple examples. It covers things like decision trees, neural networks, and clustering, and shows how they work in AWS and Azure.
Chapter 4: Data for AI-Based IDS
AI needs good data to work. This chapter teaches how to collect and clean data from logs (like AWS CloudTrail or Azure Monitor). It explains how to turn raw data into something AI can use.
Chapter 5: Spotting Unusual Activity
This chapter dives into how AI finds unknown threats using techniques like clustering and time-series analysis. It also talks about tools like AWS GuardDuty and Azure Security Center, and how to avoid false alarms.
Chapter 6: Neural Networks in Clouds
Neural networks are powerful but tricky to use in clouds. This chapter explains how to train and use them in AWS and Azure for spotting threats, keeping things fast and scalable.
Chapter 7: Real-Time Threat Detection
Speed is key in cybersecurity. This chapter shows how AI can spot and stop threats instantly using tools like AWS Lambda and Azure Functions.
Chapter 8: Challenges of AI-Based IDS
AI isn’t perfect. This chapter talks about problems like false alerts, attacks on AI itself, and cloud limits. It helps readers know what to expect.
Chapter 9: What’s Next for Cybersecurity
The final chapter looks at future trends like federated learning, explainable AI, and quantum computing. It also talks about keeping AI fair and transparent.
Strengths of the Book
1. Easy to Understand: The authors use simple words and examples, great for Indian students and professionals.
2. Practical Tips: It connects ideas to real tools like AWS GuardDuty and Azure Sentinel, useful for jobs.
3. Well-Organized: The book moves smoothly from basic to advanced topics.
4. Helpful Visuals: Diagrams and tables make tough ideas clear.
5. Useful for India: Since many Indian companies use AWS and Azure, the book fits well with local IT work.
What Could Be Better
- More Indian Examples: Adding stories of cyber-attacks in India would make it more relatable.
- Interactive Stuff: Links to online demos or code would help readers try things out.
- Glossary: A list of key terms would be handy for quick revision.
Conclusion
AI-Driven Intrusion Detection by Mahak Shah and Hitarth Shah is a must-read for anyone serious about cybersecurity. It makes the tricky world of AI and cloud security easy to understand. Whether you’re a student, cloud engineer, or IT professional in India, this book gives you the tools to build safe, smart systems. It’s not just a tech guide—it’s a way to think ahead and stay ready for smarter cyber threats. Highly recommended for Indian IT folks who want to stay ahead in the AI and cloud world!
Book’s Link Amazon
