| #include <assert.h> | |
| #include <stdlib.h> | |
| #include <string.h> | |
| #include <stdint.h> | |
| #include <stdio.h> | |
| #define N (100000063/64) | |
| struct bitset { | |
| uint64_t bits[N]; |
| #! python2 | |
| # NOTE: The first line in this script specifies that it should always be run using Python 2.7. | |
| # The `midiutil` module is currently not available for Python 3. | |
| '''Generates a MIDI file with 12 random notes in C major, using the midiutil module. The instrument is also picked randomly. The result is then played with the sound.MIDIPlayer class. | |
| If nothing happens, make sure that your device isn't muted. | |
| ''' | |
| from midiutil.MidiFile import MIDIFile |
| # coding: utf-8 | |
| # # 持续训练 | |
| # | |
| # 问题提出: 如果人脸识别在使用中发现准确率并不够高, 是否可以继续改进? 如何在已有的基础之上继续改进? | |
| # | |
| # 解决方法: 建立并联的判别神经网络, 将A人脸的128位编码和待测人脸的128位编码作为输入, 二值判别输出 | |
| # * 路径A: 计算二阶范数距离, 并以原题目中的阈值作为分界, 形成输出 | |
| # * 路径B: 待训练神经网络, 早期时参数值都很小, 因此输出值也很小, 但可被训练. |
| library(tidyverse) | |
| library(gganimate) | |
| NUMPLAYERS = 45 | |
| ROUNDS = 5000 | |
| INITWEALTH = 45 | |
| #initialize the bank | |
| #columns wealths of the NUMPLAYERS players | |
| #rows show wealths of each of the ROUNDS ticks of the clocks |
| #thanks to: | |
| https://www.torproject.org/docs/debian | |
| http://askubuntu.com/questions/501496/how-to-install-tor-with-meek-support | |
| https://plus.google.com/+GhostAssassin/posts/26zCmDmjYXP | |
| #In /etc/apt/sources.list: | |
| deb http://deb.torproject.org/torproject.org trusty main | |
| deb-src http://deb.torproject.org/torproject.org trusty main | |
| #Run: | |
| sudo apt-get update |
| #!/usr/bin/env python3 | |
| from securitycenter import SecurityCenter5 | |
| import subprocess | |
| def vulns(): | |
| sc = SecurityCenter5('nessus') | |
| sc.login('nessusapi', 'Afinepassword!') | |
| response = sc.get('status') | |
| hosts = sc.analysis(tool='sumip', page=0, page_size=10, sortDir='desc',sortField='score') |
| <?php | |
| /* | |
| udp/tcp dns client for google dns over https (https://dns.google.com) | |
| ubuntu上使用: | |
| 在/etc/rc.local里加/usr/bin/php /home/<your_name>/dns2https.php | |
| 执行: | |
| systemctl disable unbound | |
| systemctl disable dnscrypt-proxy |
| # User ssh configuration file ~/.ssh/config | |
| # Gist https://gist.github.com/terrywang/3997931 | |
| # man ssh_config for more information | |
| # Inspired by the blog post below to fight the NSA | |
| # https://stribika.github.io/2015/01/04/secure-secure-shell.html | |
| # Github needs diffie-hellman-group-exchange-sha1 some of the time but not always | |
| # Host github.com | |
| # KexAlgorithms curve25519-sha256@libssh.org,diffie-hellman-group-exchange-sha256,diffie-hellman-group-exchange-sha1,diffie-hellman-group14-sha1 |
| require 'mina/bundler' | |
| require 'mina/git' | |
| set :application, "forum" | |
| set :domain, '%SERVERNAME%' | |
| set :deploy_to, "%PATH-TO-APPLICATION%" | |
| set :repository, '%REPOSITORY-URL%.git' | |
| set :branch, 'master' | |
| set :login, "%LOGIN%" |
由于路由管控系统的建立，实时动态黑洞路由已成为最有效的封锁手段，TCP连接重置和DNS污染成为次要手段，利用漏洞的穿墙方法已不再具有普遍意义。对此应对方法是多样化协议的VPN来抵抗识别。这里介绍一种太简单、有时很朴素的“穷人VPN”。
朴素VPN只需要一次内核配置（Linux内核），即可永久稳定运行，不需要任何用户态守护进程。所有流量转换和加密全部由内核完成，原生性能，开销几乎没有。静态配置，避免动态握手和参数协商产生指纹特征导致被识别。并且支持NAT，移动的内网用户可以使用此方法。支持广泛，基于L2TPv3标准，Linux内核3.2+都有支持，其他操作系统原则上也能支持。但有两个局限：需要root权限；一个隧道只支持一个用户。
朴素VPN利用UDP封装的静态L2TP隧道实现VPN，内核XFRM实现静态IPsec。实际上IP-in-IP隧道即可实现VPN，但是这种协议无法穿越NAT，因此必须利用UDP封装。内核3.18将支持Foo-over-UDP，在UDP里面直接封装IP，与静态的L2TP-over-UDP很类似。
