Feature/mbedtls (#84)
* try to import mbedtls and build it * add stubs socket class * some boilterplate, read and write function implemented * more boilterplate / current error in handshake because no CA cert is setup * add something so skip ca verification, can ws curl https://google.com ! * cleanup / close implemented * tweak CMakefiles * typo in include * update readme * disable unittests
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third_party/mbedtls/crypto/doxygen/input/doc_rng.h
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third_party/mbedtls/crypto/doxygen/input/doc_rng.h
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/**
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* \file doc_rng.h
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*
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* \brief Random number generator (RNG) module documentation file.
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*/
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/*
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*
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* Copyright (C) 2006-2015, ARM Limited, All Rights Reserved
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the "License"); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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* This file is part of mbed TLS (https://tls.mbed.org)
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*/
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/**
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* @addtogroup rng_module Random number generator (RNG) module
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*
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* The Random number generator (RNG) module provides random number
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* generation, see \c mbedtls_ctr_drbg_random().
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*
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* The block-cipher counter-mode based deterministic random
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* bit generator (CTR_DBRG) as specified in NIST SP800-90. It needs an external
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* source of entropy. For these purposes \c mbedtls_entropy_func() can be used.
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* This is an implementation based on a simple entropy accumulator design.
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*
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* The other number generator that is included is less strong and uses the
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* HAVEGE (HArdware Volatile Entropy Gathering and Expansion) software heuristic
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* which considered unsafe for primary usage, but provides additional random
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* to the entropy pool if enables.
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*
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* Meaning that there seems to be no practical algorithm that can guess
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* the next bit with a probability larger than 1/2 in an output sequence.
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*
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* This module can be used to generate random numbers.
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*/
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