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Apps and Services with .NET 7

You're reading from   Apps and Services with .NET 7 Build practical projects with Blazor, .NET MAUI, gRPC, GraphQL, and other enterprise technologies

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781801813433
Length 814 pages
Edition 1st Edition
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Author (1):
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Mark J. Price Mark J. Price
Author Profile Icon Mark J. Price
Mark J. Price
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Table of Contents (23) Chapters Close

Preface 1. Introducing Apps and Services with .NET 2. Managing Relational Data Using SQL Server FREE CHAPTER 3. Managing NoSQL Data Using Azure Cosmos DB 4. Benchmarking Performance, Multitasking, and Concurrency 5. Implementing Popular Third-Party Libraries 6. Observing and Modifying Code Execution Dynamically 7. Handling Dates, Times, and Internationalization 8. Protecting Your Data and Applications 9. Building and Securing Web Services Using Minimal APIs 10. Exposing Data via the Web Using OData 11. Combining Data Sources Using GraphQL 12. Building Efficient Microservices Using gRPC 13. Broadcasting Real-Time Communication Using SignalR 14. Building Serverless Nanoservices Using Azure Functions 15. Building Web User Interfaces Using ASP.NET Core 16. Building Web Components Using Blazor WebAssembly 17. Leveraging Open-Source Blazor Component Libraries 18. Building Mobile and Desktop Apps Using .NET MAUI 19. Integrating .NET MAUI Apps with Blazor and Native Platforms 20. Introducing the Survey Project Challenge 21. Epilogue 22. Index

Preventing denial-of-service attacks using rate limiting

A denial-of-service (DoS) attack is a malicious attempt to disrupt a web service by overwhelming it with requests. If the requests all came from the same place, it would be relatively easy to cut them off as soon as the attack is detected. These attacks are often implemented as distributed DoS (DDoS) attacks from many locations so you cannot separate attackers from genuine clients.

Genuine clients should only make the minimum requests they need. How many is reasonable will depend on your service. One way to prevent DDoS attacks would be to limit how many requests are allowed from any client per minute. This technique is not just useful to prevent attacks. Even genuine clients might accidentally make too many requests, or for a commercial web service you might want to charge different amounts for different rates, like when controlling a subscription.

When a client makes requests over a set rate limit, the client should...

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