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Table of Contents
- .NET Book Recommendations
- Getting Started with .NET
- The Microsoft .NET Framework
- The Common Language Runtime (CLR), the Common Type System (CTS), and the Common Language Specification (CLS)
- .NET Framework Class Library
- Visual Studio .NET
- .NET Enterprise Servers and .NET My Services
- .NET Compliant Languages
- C#
- Visual Basic .NET (VB .NET)
- ASP.NET
- XML Web Services
- ADO.NET
- XML.NET
- Windows Forms
- Why .NET?
- Displaying Errors with the Error Provider
- COM Interoperability
- Comparing Java and .NET
- Calling Unmanaged Code
- .NET Application Security
- Code Access Security
- .NET Standards Support
- Numeric Types in the .NET Framework
- Working with Strings
- Formatting Strings
- Trimming Character Strings
- Comparing Strings in .NET 2.0
- Arrays and Collections
- Arrays as Class Members
- Sorting a Multi-Dimensional Array
- Sorting a Multi-Dimensional Array with LINQ
- File I/O (System.IO)
- Working with File Names
- Using the File System
- Working with Files and Directories
- Monitoring the File System
- Working with Streams
- Working with Text Encodings
- Working with Date and Time
- Extending the DateTime Class
- Using DateTimeOffset
- Fun with Dates
- Exceptions
- Delegates
- Events
- Asynchronous Programming
- Asynchronous File I/O
- Timers
- Random Numbers
- Cryptographically Secure Random Numbers
- Serialization
- MultiThreading (System.Threading)
- Multi-Threading Overview
- The Managed Thread Pool
- Managed Threading
- Thread Synchronization
- Synchronizing Data Access
- Trace Debugging
- Tracing in .NET 2.0
- ASP.NET Trace
- Validating User Input in ASP.NET Web Pages
- Event Logging
- Monitoring Application Performance
- Accessing the Registry
- Accessing Environment Information
- Environment Variables in .NET 2.0
- Managing Windows Forms Applications
- Working with Email
- Working with Graphics
- Animating a Background
- Working with Images
- Drawing Cycloid Curves
- Simulating the Spirograph
- Building International Web Applications
- .NET Compact Framework
- Mobile Web Development with ASP.NET
- Speech Technologies
- Microsoft MapPoint Web Service
- Working with Typed DataSets
- Using Relationships in DataSets
- DataColumn Expressions
- Playing Simple Sounds
- Playing Sounds with .NET 2.0
- Returning an Image in a Web Page
- RSS
- Best Practices — Project Structure
- Best Practices — Application Blocks
- The Data Access Application Block
- The Exception Management Application Block
- Best Practices — Performance
- Best Practices — Performance and Scalability
- Best Practices - Testing
- Reading the Tea Leaves, 2005
- Predictions: A Look Back at 2005, and a Look Ahead to 2006
- .NET Downloads
- Application Deployment Overview
- Application Deployment — Versioning
- Application Deployment — Version Policy
- Application Deployment — Packaging and Distribution
- .NET Remoting Overview
- A Remoting Demonstration
- Remoting Configuration
- Remoting: Lifetimes and Leases
- Remoting: Other Issues
- Attributes
- Writing Custom Attributes
- Accessing Attributes in Code
- Reflection
- Class Design: Inheritance, Interface, or Composition?
- The TriTryst Game
- Console Applications in .NET 2.0
- New File I/O Methods in .NET 2.0
- Building Projects with MSBuild
- Unmanaged Callbacks in .NET 2.0
- Timer Troubles
- Non-Rectangular Windows Forms
- Windows Forms Transparency
- 10 Things I Hate About Visual Basic
- 10 Things I Hate About C#
- Background Processing with Idle Time
- Scaling Windows Forms
- Reading and Writing Binary Data
- New Memory Management Functions in .NET 2.0
- Compatibility Between .NET 1.1 and .NET 2.0
- Managed Debugging Assistants in .NET 2.0
- XDir: A Program for Viewing Directory Sizes
- The Microsoft.VisualBasic Namespace
- Operator Overloading
- Working with GPS Data
- Hidden Visual Studio Tools
- .NET 3.0
- The .NET 2.0 Stopwatch Class
- Nullable Types
- Drawing Rotated Text
- Unsafe Code
- Other .NET Languages
- Compiler Directives
- Safe Handles
- Predictions, 2007 Edition
- New Features in C# 3.0
- Generics
- Network Client Programming
- On the Misuse of Exceptions
- Maximum Object Size in .NET
- More on Maximum Object Sizes
- Keyed Collection Memory Limitations
- Matching String Endings
- Allocating Small Data Structures
- Grumbling About Limitations
- Some Thoughts on the Nature of What We Do
- Working with Predicates in Collections
- Working with DataReaders
- Outputting XML with XmlWriter
- Writing XML Data
- Working with Compression
- Another Look at Compressed Streams
- Compressing a Very Large File
- Canonical URIs
- Constructing URIs
- Using OneWayAttribute for Remote Calls
- Selecting a Garbage Collector
- Linked List
- Linked List Application - The MRU List
- Auto-implemented Properties in C#
- The HashSet Collection
- Looking Ahead: 2018
- An Experiment in Optimization
- A Larger Integer
- Extension Methods
- Language Integrated Query (LINQ)
- Variable Length Parameter Lists
- The ReaderWriterLockSlim Synchronization Primitive
- Sorting a Text File
- Sorting a Large Text File
- Using ListView with Large Data Sets
- LINQ One-Liners
- Regular Expression Optimization
- Random File I/O
- Computing the Size of a Structure
- More on Computing Structure Sizes
- UnmanagedMemoryStream
- Dynamically Loading Code
- Building a String Table
- Delegates Versus Function Pointers
- Visual Studio Editor Features
- A Simple Profile Timer
- New Features in C# 4.0
- IEnumerator or IList?
- New Features in .NET 4.0
- Set Operations with IEnumerable and HashSet
- Using File Locks
- Extending Object Functionality
- Clearing a HashSet
- When Hash Codes Matter
- Parsing Command Line Options
- Creating a Single-Instance Program
- Asynchronous Windows Forms Events
- The BackgroundWorker Component
- Fixing a Dumb Mistake
- Thinking About Multi-Threaded Programs
- JavaScript Object Notation
- Better JSON Processing with JSON.Net
- Useful .NET-related Sites
- Markov Models
- Building an Order 0 Markov Model
- Higher Order Markov Models
- Webmaster's Guide to robots.txt
- An Overview of the Parallel Extensions to .NET
- Parallel Extensions Synchronization Objects
- Thread Safe Collections
- A Bug and a Conundrum
- Another Bug and an Answer
- Task Parallel Library
- Good and Bad Ideas in C#
- Parallel LINQ
- Copying Large Files
- Replacing File.Copy
- Learning from Our Mistakes
- Symbolic Links
- There Is No Easy Fix
- Tracking Hurricanes
- Examining Hurricane Data
- Searching for Multiple Strings
- Simple JSON Processing
- Aho-Corasick String Searching
- Writing a Web Crawler
- Web Crawler Politeness
- Source Control Management
- Subversion
- Communicating with Datagrams
- Fun with Actions and Funcs
- The Future of Media
- The Importance of Metadata
- Of Comparison and IComparer
- IComparer, Comparer, IComparable, Oh My!
- Comparing Generic Types
- A Simple HTTP Server
- Quantizing DateTime Fields
- More Fun with the Garbage Collector
- Refactor, Don't Rewrite
- A Generic BinaryHeap Class
- A Generic File Sorter
- Birthdays, Random Numbers, and Hash Keys
- Random Selection from Large Groups
- Command Line Tools for Windows
- Reading and Writing, Bit by Bit
- Selecting the Top N Items from a Group
- Determining Website Content Encoding
- Benefits and Drawbacks of Syndication
- Pubsubhubbub
- Memory Use Misconceptions
- Risk, Lost Opportunity, and Other Hidden Upgrade Costs
- Culture Shock: from .NET to JavaScript
- Using .NET for a Startup
- Tracking Wikipedia Changes with IRC
- Browser Applications and the Same Origin Policy
- Handling the Unexpected
- Dealing with Growth
- Deleting the Oldest File
- Where Do I Put Stuff?
- .NET Timer Resolution
- Exploring Options for Better Timers
- Using the Windows Timer Queue API
- Locks Aren't Slow
- Alternatives to Locks
- Lock Free Concurrent Collections
- The BlockingCollection Class
- Customizing BlockingCollection
- What Time Is It? Daylight Saving Time and Computers
- Using enums to Save Memory
- New File Operations in .NET 4.0
- Building a Hierarchy of Rectangles
- A Faster File Copy
- Constants Are Forever
- The Dangers of Floating Point
- Goto is Not Inherently Evil
- The Weakest Link
- Reducing Memory Required for Strings
- Grouping with LINQ
- HttpListener "Gotchas"
- Extension Methods Are Evil
- Finding the Registered Domain in a URL
- Drawing Text
- Obfuscating Sequential Keys
- Properties of Obfuscated Keys
- Finding Changes Between Two Lists
- Using the ConcurrentBag Collection
- Never Sleep!
- Shuffling and Sorting
- Viewing Large Text Files
- Use the Right Tool
- Why GetHashCode Matters
- Optimization Guidelines
- Timer Differences
- The Mutex
- Modifying a Working System
- Building a New Type of Stream
- More Large File Problems
- A Better File.Copy Replacement
- Throwing the Wrong Exception
- Approximate Counters
- Monitoring a Timer
- Combining Consoles and Forms
- Embedding a Text Resource
- Handling Concurrent Downloads
- The Importance of Domain Knowledge
- Stupid Programmer Tricks
- Aho-Corasick Revisited
- Expressiveness is the Soul of Brevity
- Fun with Anonymous Types
- Simplifying a Multi-Threaded Application
- Work Smarter
- The Skip List Data Structure
- A More Memory-Efficient Skip List
- Selection Revisited
- Why Async?
- What the Future Holds
- The "Roslyn" CTP
- Where We've Been
- Informit Reference Library
Cryptographically Secure Random Numbers
Last updated Mar 14, 2003.
The .NET Framework has two ways of generating random numbers. Most programs will instantiate a System.Random object instance and call one of the member functions to get random numbers. The numbers returned aren't truly random, but rather pseudo random. But they're good enough for most applications that call for randomness.
But the pseudo random nature of the numbers returned by System.Random objects is not good enough for cryptographic purposes. The algorithm used by System.Random to generate random numbers is actually generating a sequence in which the next number generated is dependent on the previous number generated. The algorithm is deterministic and predictable. Somebody who knows how the algorithm works can use that information to trivially break any encryption based on the pseudorandom numbers.
Cryptographic applications require truly random sequences that can't be predicted. In .NET, the System.Security.Cryptography.RandomNumberGenerator abstract class serves as the base class for all cryptographic random number generators. System.Security.Cryptography.RNGCryptoServiceProvider provides an implementation of that abstract class.
Generating secure random values
Unlike the System.Random class, RNGCryptoServiceProvider and other RandomNumberGenerator descendents do not have the convenient Next, NextDouble and similar methods. RandomNumberGenerator only provides two methods: GetBytes and GetNonZeroBytes. It'll take a little more work to get random integers or floating point values.
The first step in generating truly random values is to create an instance of the RNGCryptoServiceProvider class. Then, allocate an array of bytes and pass that array to the GetBytes method. The random number generator will fill the byte array with a sequence of random values. Here's how to do it in C#.
RNGCryptoServiceProvider random = new RNGCryptoServiceProvider();
byte[] randomBytes = new byte[1024];
random.GetBytes(randomBytes);
foreach (var b in randomBytes)
{
Console.Write("{0:X2} ", b);
}
You'll need to add a project reference to System.Security, and include a using System.Security.Cryptography line in your code.
RNGCryptoServiceProvider has four constructors. As far as I've been able to determine, they all do the same thing. Documentation for two of the constructors that accept parameters say that the parameters are ignored. The other one that takes parameters doesn't say what values are valid or what the constructor does with them. My advice would be to always call the default constructor.
If all you need is a way to generate a sequence of random bytes, then the above code will work very well for you. It provides the same functionality as calling the NextBytes method on a System.Random object. Note, however, that RNGCryptoServiceProvider will be somewhat slower than System.Random, but not so slow that it'll be noticeable unless you call it thousands of times per second.
Generating random integers
In general, applications that require the use of truly random values don't typically need random integers or random floating point numbers. They just need random bytes. But if you really want random integers or other multi-byte values, you'll have to construct them yourself from the bytes returned by GetBytes. The code below generates 256 random positive integers from the random bytes returned by GetBytes.
RNGCryptoServiceProvider random = new RNGCryptoServiceProvider("testo");
byte[] randomBytes = new byte[256 * sizeof(int)];
random.GetBytes(randomBytes);
for (int i = 0; i < 256; ++i)
{
int val = BitConverter.ToInt32(randomBytes, i * 4);
val &= 0x7fffffff;
Console.WriteLine(val);
}
BitConverter.ToInt32 gets the next four bytes in the array and returns a 32 bit integer. The next line of code just makes sure that the number is positive. If you don't mind getting negative numbers, then you can skip that. Or, you can get unsigned integers by calling BitConverter.ToUInt32.
Creating a System.Random replacement
You can use the technique above to create a replacement for System.Random that returns more truly random values. The trick is to maintain a buffer of random values that you get from the RNGCryptoServiceProvider, and then generate random values from it. Whenever you exhaust the buffer, make another call to refill it. Once you get that working for returning the next nonnegative integer, the rest falls into place very quickly.
public class JimRandom
{
private const int BufferSize = 1024; // must be a multiple of 4
private byte[] RandomBuffer;
private int BufferOffset;
private RNGCryptoServiceProvider rng;
public JimRandom()
{
RandomBuffer = new byte[BufferSize];
rng = new RNGCryptoServiceProvider();
BufferOffset = RandomBuffer.Length;
}
private void FillBuffer()
{
rng.GetBytes(RandomBuffer);
BufferOffset = 0;
}
public int Next()
{
if (BufferOffset >= RandomBuffer.Length)
{
FillBuffer();
}
int val = BitConverter.ToInt32(RandomBuffer, BufferOffset) & 0x7fffffff;
BufferOffset += sizeof(int);
return val;
}
public int Next(int maxValue)
{
return Next() % maxValue;
}
public int Next(int minValue, int maxValue)
{
if (maxValue < minValue)
{
throw new ArgumentOutOfRangeException("maxValue must be greater than or equal to minValue");
}
int range = maxValue - minValue;
return minValue + Next(range);
}
public double NextDouble()
{
int val = Next();
return (double)val / int.MaxValue;
}
public void GetBytes(byte[] buff)
{
rng.GetBytes(buff);
}
}
My example uses a very small buffer of 1,024 bytes, or 256 integers. A larger buffer requires more memory, but will mean fewer calls to refill it. Fewer refill calls means that the amortized cost per random number generated is less. I suspect that a buffer of one megabyte would provide a very good tradeoff between memory use and speed.
The GetBytes method just calls the RNGCryptoServiceProvider.GetBytes method. Having GetBytes return values from the class buffer would be entirely too much trouble.
