random_device在windows上的實現

John_Jane_Doe發表於2015-10-25
最近需要用到隨機數發生器,查cplusplus.com得知C++11引入了<random>,其中有一個random_device類,根據cpluscplus的說明:

True random number generator

A random number generator that produces non-deterministic random numbers, if supported.

也就是說,這個類能產生不可預測的真隨機數。

不過在搜random_device的時候,卻發現Linux上的實現是讀取dev/urandom裝置,而windows上的實現是呼叫rand_s。如果真的是這樣的話,那windows上的random_device就與一般偽隨機數發生器無異了。


查MSDN(https://msdn.microsoft.com/en-us/library/bb982250.aspx),MS對這個類的說明:

Generates a random sequence from an external device.


Remarks

The class describes a source of random numbers, and is allowed but not required to be non-deterministic or cryptographically secure by the ISO C++ Standard. In the Visual Studio implementation the values produced are non-deterministic and cryptographically secure, but runs more slowly than generators created from engines and engine adaptors

也就是說MS聲稱VS裡的random_device實現能產生不可預測的,具有加密強度的隨機數


另外stackoverflow上有人問過這個問題The implementation of random_device in VS2010?

高票答案說windows上的實現是呼叫RtlGenRandom函式(詳見https://msdn.microsoft.com/en-us/library/windows/desktop/aa387694(v=vs.85).aspx)


既然這樣,只能自己動手除錯了。環境:win8.1 x64+VS2015


測試程式碼:


#include <random>

int main()
{
	using namespace std;

	random_device rd;
	unsigned int rnd = rd();
	return 0;
}

在unsigned int rnd = rd()處下斷點,開始除錯


整個呼叫鏈是這樣的 random_device::operator() => _Random_device() => rand_s()
最後果然是呼叫了rand_s()。難道windows上random_device真的只是個偽隨機數發生器?

先別急,轉到反彙編,繼續單步執行。在ucrtbased.dll裡繞來繞去之後,跳到了cryptbase.dll裡一個名為SystemFunction036的API,如圖

根據上面給出的連結,SystemFunction036是RtlGenRandom的一個別名


那RtlGenRandom能否產生不可預測的隨機數序列呢?


上面stackoverflow的問題裡提到一個MSDN部落格的連結Cryptographically Secure Random number on Windows without using CryptoAPI

在部落格後面作者自己的評論中,他提到了RtlGenRandom的熵來源於


The current process ID (GetCurrentProcessID).

The current thread ID (GetCurrentThreadID).

The ticks since boot (GetTickCount).

The current time (GetLocalTime).

Various high-precision performance counters (QueryPerformanceCounter).

An MD4 hash of the user's environment block, which includes username, computer name, and search path. MD4 is a hashing algorithm that creates a 128-bit message digest from input data to verify data integrity.

High-precision internal CPU counters, such as RDTSC, RDMSR, RDPMC

Low-level system information: Idle Process Time, Io Read Transfer Count, I/O Write Transfer Count, I/O Other Transfer Count, I/O Read Operation Count, I/O Write Operation Count, I/O Other Operation Count, Available Pages, Committed Pages, Commit Limit, Peak Commitment, Page Fault Count, Copy On Write Count, Transition Count, Cache Transition Count, Demand Zero Count, Page Read Count, Page Read I/O Count, Cache Read Count, Cache I/O Count, Dirty Pages Write Count, Dirty Write I/O Count, Mapped Pages Write Count, Mapped Write I/O Count, Paged Pool Pages, Non Paged Pool Pages, Paged Pool Allocated space, Paged Pool Free space, Non Paged Pool Allocated space, Non Paged Pool Free space, Free System page table entry, Resident System Code Page, Total System Driver Pages, Total System Code Pages, Non Paged Pool Lookaside Hits, Paged Pool Lookaside Hits, Available Paged Pool Pages, Resident System Cache Page, Resident Paged Pool Page, Resident System Driver Page, Cache manager Fast Read with No Wait, Cache manager Fast Read with Wait, Cache manager Fast Read Resource Missed, Cache manager Fast Read Not Possible, Cache manager Fast Memory Descriptor List Read with No Wait, Cache manager Fast Memory Descriptor List Read with Wait, Cache manager Fast Memory Descriptor List Read Resource Missed, Cache manager Fast Memory Descriptor List Read Not Possible, Cache manager Map Data with No Wait, Cache manager Map Data with Wait, Cache manager Map Data with No Wait Miss, Cache manager Map Data Wait Miss, Cache manager Pin-Mapped Data Count, Cache manager Pin-Read with No Wait, Cache manager Pin Read with Wait, Cache manager Pin-Read with No Wait Miss, Cache manager Pin-Read Wait Miss, Cache manager Copy-Read with No Wait, Cache manager Copy-Read with Wait, Cache manager Copy-Read with No Wait Miss, Cache manager Copy-Read with Wait Miss, Cache manager Memory Descriptor List Read with No Wait, Cache manager Memory Descriptor List Read with Wait, Cache manager Memory Descriptor List Read with No Wait Miss, Cache manager Memory Descriptor List Read with Wait Miss, Cache manager Read Ahead IOs, Cache manager Lazy-Write IOs, Cache manager Lazy-Write Pages, Cache manager Data Flushes, Cache manager Data Pages, Context Switches, First Level Translation buffer Fills, Second Level Translation buffer Fills, and System Calls.

System exception information consisting of Alignment Fix up Count, Exception Dispatch Count, Floating Emulation Count, and Byte Word Emulation Count.

System lookaside information consisting of Current Depth, Maximum Depth, Total Allocates, Allocate Misses, Total Frees, Free Misses, Type, Tag, and Size.

System interrupt information consisting of context switches, deferred procedure call count, deferred procedure call rate, time increment, deferred procedure call bypass count, and asynchronous procedure call bypass count.

System process information consisting of Next Entry Offset, Number Of Threads, Create Time, User Time, Kernel Time, Image Name, Base Priority, Unique Process ID, Inherited from Unique Process ID, Handle Count, Session ID, Page Directory Base, Peak Virtual Size, Virtual Size, Page Fault Count, Peak Working Set Size, Working Set Size, Quota Peak Paged Pool Usage, Quota Paged Pool Usage, Quota Peak Non Paged Pool Usage, Quota Non Paged Pool Usage, Page file Usage, Peak Page file Usage, Private Page Count, Read Operation Count, Write Operation Count, Other Operation Count, Read Transfer Count, Write Transfer Count, and Other Transfer Count.


可見,windows下的random_device能產生統計意義上的真隨機數。

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