catalogue
. NAT概念
. P2P概念
. UDP打洞
. P2P DEMO
. ZeroNet P2P
1. NAT概念
在STUN协议中,根据内部终端的地址(LocalIP:LocalPort)到NAT出口的公网地址(PublicIP:PublicPort)的影射方式,把NAT分为四种类型(rfc3489: http://www.ietf.org/rfc/rfc3489.txt)
. Full Cone: 这种NAT内部的机器A连接过外网机器C后,NAT会打开一个端口,然后外网的任何发到这个打开的端口的UDP数据报都可以到达A。不管是不是C发过来的(NAT源端口映射)
. Restricted Cone: 这种NAT内部的机器A连接过外网的机器C后,NAT打开一个端口,然后C可以用任何端口和A通信,其他的外网机器不行(目的IP映射)
. Port Restricted Cone: 这种NAT内部的机器A连接过外网的机器C后,NAT打开一个端口,然后C可以用原来的端口和A通信,其他的外网机器不行(NAT目的端口映射)
. Symmetic: 对于这种NAT.连接不同的外部目标。原来NAT打开的端口会变化,而Cone NAT不会,虽然可以用端口猜测,但是成功的概率很小
或者分为2类
. 基本的NAT: 一个私有网络(域)中的节点中只有很少的节点需要与外网连接。那么这个子网中其实只有少数的节点需要全球唯一的IP地址,其他的节点的IP地址应该是可以重用的。因此,基本的NAT实现的功能很简单,在子网内使用一个保留的IP子网段,这些IP对外是不可见的。子网内只有少数一些IP地址可以对应到真正全球唯一的IP地址。如果这些节点需要访问外部网络,那么基本NAT就负责将这个节点的子网内IP转化为一个全球唯一的IP然后发送出去(基本的NAT会改变IP包中的原IP地址,但是不会改变IP包中的端口) . NAPT(Network Address/Port Translator): NAPT不但会改变经过这个NAT设备的IP数据报的IP地址,还会改变IP数据报的TCP/UDP端口
) 如果Client A想向Client B发送信息,那么Client A发送命令给Server S,请求Server S命令Client B向Client A方向打洞
) 如果Client B想向Client A发送信息,那么Client B发送命令给Server S,请求Server S命令Client A向Client B方向打洞
总体来说,P2P(NAT环境下)的通信都是被动反向的,即谁想向谁发送数据,需要通知对方向自己"打洞"
2. P2P概念
P2P是peer-to-peer的缩写,peer在英语里有"(地位、能力等)同等者"、"同事"和"伙伴"等意义。这样一来,P2P也就可以理解为"伙伴对伙伴"的意思,或称为对等联网,简单的说,P2P直接将人们联系起来,让人们通过互联网直接交互。P2P使得网络上的沟通变得容易、更直接共享和交互,真正地消除中间商。P2P就是人可以直接连接到其他用户的计算机、交换文件,而不是像过去那样连接到服务器去浏览与下载。P2P另一个重要特点是改变互联网现在的以大网站为中心的状态、重返“非中心化”,并把权力交还给用户
事实上,网络上现有的许多服务可以归入P2P的行列。即时讯息系统譬如ICQ、AOL Instant Messenger、Yahoo Pager、微软的MSN Messenger以及国内的OICQ是最流行的P2P应用
0x1: 普通的直连式P2P实现
0x2: STUN方式的P2P实现
STUN是RFC3489规定的一种NAT穿透方式,STUN的探测过程需要有一个公网IP的STUN server,在NAT后面的UAC必须和此server配合,互相之间发送若干个UDP数据包。UDP包中包含有UAC需要了解的信息,比如NAT外网IP,PORT等等。UAC通过是否得到这个UDP包和包中的数据判断自己的NAT类型,假设如下场景
. UAC(B): UAC的IP为IPB
. NAT(A): NAT的IP为IPA
. SERVER(C): SERVER的IP为IPC1 、IPC2
//服务器C有两个IP
NAT的探测过程
0x3: P2P文件传输协议之BitTorrent协议
Bittorrent与其他传统P2P软件如Gnutella,Fasttrack不同,Bittorrent只是一个纯粹的文件下载协议,并提供搜索功能,所以往往资源的获取要跟其他一些应用结合起来,比如说发布Bittorrent种子信息的网站
1. Bittorrent工作原理
Bittorrent的工作原理其实很简单,他就是将一份数据分隔成256K大小的数据分组,并在Bittorrent 网络中一群用户相互协作完成这些数据的分发,用户参与数据分发的信息已文件的形式存储,一般可以通过web网站获取这些信息但是实际数据传输依靠的不是Http协议,而是由专门的P2P协议来完成,这些对于用户都是透明的
普通的HTTP/FTP下载使用TCP/IP协议,BitTorrent协议是架构于TCP/IP协议之上的一个P2P文件传输协议,处于TCP/IP结构的应用层。 BitTorrent协议本身也包含了很多具体的内容协议和扩展协议,并在不断扩充中
根据BitTorrent协议,文件发布者会根据要发布的文件生成提供一个.torrent文件,即种子文件,也简称为“种子"。 .torrent文件本质上是文本文件,包含Tracker信息和文件信息两部分
. Tracker信息主要是BT下载中需要用到的Tracker服务器(中间人服务器)的地址,以及针对Tracker服务器的设置
. 文件信息是根据对目标文件的计算生成的计算结果根据BitTorrent协议内的B编码规则进行编码,它的主要原理是需要把提供下载的文件虚拟分成大小相等的块,块大小必须为2k的整数次方(由于是虚拟分块,硬盘上并不产生各个块文件),并把每个块的索引信息和Hash验证码写入.torrent文件中
. 所以,.torrent文件就是被下载文件的"索引"
2. 种子文件结构
一个种子文件,通常是以.torrent后缀结尾。BitTorrent协议规定,torrent文件本身,内容必须是utf8编码格式,并且其中的字段结构采用bencoding编码格式
Torrent种子文件由两部分组成:announce(tracker url)和文件信息,该种子文件的一部分如下,根据bencoding编码格式,把这段字符解码还原后
announce:http://www.chinahdtv.org/announce.php?passkey=6e7a1c7ca4164d87e9b0e00ec63aa749
created by:uTorrent/
creation date:
encoding:UTF-
info:
{files:[
{length:,path:[Iron.Man.3.2013.HDSCR.ULTRA.EDiTiON.720p.x264.chn.srt]}, {length:,path:[Iron.Man.3.2013.HDSCR.ULTRA.EDiTiON.720p.x264.chn1.srt]}, {length:,path:[Iron.Man.3.2013.HDSCR.ULTRA.EDiTiON.720p.x264.chn2.srt]},
{length:,path:[Iron.Man.3.2013.HDSCR.ULTRA.EDiTiON.720p.x264.mkv]}],
name:钢铁侠3.Iron.Man.3.2013.HDSCR.ULTRA.EDiTiON.720p.x264,
piece length:,
pieces:P1,P2,P3...P1019
private:
source:[hd.gg] CNHD ChinaHDTV
}
一个torrent种子文件有点类似于XML格式的文件,包含如下组成部分
. tracker地址,这里就是announce后面的url
. 种子创建软件及其版本号,这里是uTorrent软件创建的,版本号为2040
. 创建日期,这里是1369699038,这个数字显示的是从UTC -- ::00到到现在所经历的秒数
. 编码格式,这里是UTF-(codepage=)
. info区,这里指定的是该种子有几个文件,文件有多长,目录结构,以及目录和文件的名字
. Name字段,指定顶层目录名字
. 每个段的大小,Bittorrent协议是把一个文件分成很多个小段,然后分段下载的,这个地方就是指定每个段的大小,单位是字节,这里每个段的大小大约为4MB()
. 段哈希值,就是整个种子中,每个段的SHA1哈希值拼在一起,每个段的哈希长度是固定的,20个字符,所以pieces后面跟的那个数字20380其实是段数量*,如果你用20380除以20,就会发现这个种子段数量为1019,乘上前面的段大小,这个种子大概有4GB大小,也就是说你把这个种子下载完后,占硬盘4GB空间
. private值,这个属性主要显示这个种子是私有的,还是公有的。一般那些各大PT站就是私有的。私有的种子会禁掉DHT(distributed hash table),因为如果你的client开这个功能,那就会跳过tracker来和其他peer进行数据交换,在很多PT内站(CHDbits,CMCT,CNHD)把这种行为称为作弊,会直接ban掉你在PT站上的帐号
. 源,显示该种子的来源,这里是CNHD
以上的每个属性并不是必须的,有的属性属于BitTorrent Enhancement Proposals (BEPs),就是BitTorrent协议的扩展,虽然不属于正式标准的一部分,但是很多客户端都支持这种格式
3. BitTorrent通信流程与网络包结构
http://www.cnblogs.com/LittleHann/p/3837839.html
4. BitTorrent下载
下载者要下载文件内容,需要先得到相应的.torrent文件,然后使用BT客户端软件进行下载(读取.torrent文件中的索引)
. 下载时,BT客户端首先解析.torrent文件得到Tracker地址,然后连接Tracker服务器
. Tracker服务器回应下载者的请求,提供下载者其他下载者(包括发布者)的IP(相当于打洞过程)
. 下载者再连接其他下载者
. 根据.torrent文件,两者分别对方告知自己已经有的块,然后交换对方没有的数据
. 此时不需要其他服务器参与,分散了单个线路上的数据流量,因此减轻了服务器负担(打洞完成后,不再需要中间人服务器的参与,通信双方直接进行点对点通信)
. 下载者每得到一个块,需要算出下载块的Hash验证码与.torrent文件中的对比,如果一样则说明块正确,不一样则需要重新下载这个块,这种规定是为了解决下载内容准确性的问题
一般的HTTP/FTP下载,发布文件仅在某个或某几个服务器,下载的人太多,服务器的带宽很易不胜负荷,变得很慢,而BitTorrent协议下载的特点是,下载的人越多,提供的带宽也越多,种子也会越来越多,下载速度就越快
Relevant Link:
http://www.2cto.com/net/200506/5494.html
http://www.cppblog.com/peakflys/archive/2013/01/25/197562.html
http://blog.chinaunix.net/uid-11572501-id-2868679.html
https://github.com/Martiusweb/p2p
http://network.51cto.com/art/201006/207932.htm
http://blog.csdn.net/wengpingbo/article/details/9174363
https://github.com/axeliux/P2P
3. UDP打洞
UDP打洞用于在两个NAT内网之间进行网络连接
0x1: 打洞基本概念
我们来看看一个P2P软件的流程
aaarticlea/png;base64,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" alt="" />
. 首先,Client A登录服务器,NAT A为这次的Session分配了一个端口60000,那么Server S收到的Client A的地址是202.187.45.:,这就是Client A的外网地址了
. 同样,Client B登录Server S,NAT B给此次Session分配的端口是40000,那么Server S收到的B的地址是187.34.1.:
. 此时,Client A与Client B都可以与Server S通信了。如果Client A此时想直接发送信息给Client B,那么他可以从Server S那儿获得B的公网地址187.34.1.:,但是Client A不能直接向这个地址发送信息,因为如果这样发送信息,NAT B会将这个信息丢弃(因为这样的信息是不请自来的,为了安全,大多数NAT都会执行丢弃动作)。现在我们需要的是在NAT B上打一个方向为202.187.45.(即Client A的外网地址)的洞,那么Client A发送到187.34.1.:40000的信息,Client B就能收到了。这个打洞命令由谁Server S来发出(Server S只是作为一个中转代理)
. 总结一下这个过程:如果Client A想向Client B发送信息,那么Client A发送命令给Server S,请求Server S命令Client B向Client A方向打洞。然后Client A就可以通过Client B的外网地址与Client B通信了
理解UDP NAT打洞,需要明白的是
. 在NAT模式下,内网的IP是不能被外网直接正向访问到的,只能又内网IP向外网IP主动发起连接,一旦连接成功建立起来,后续的交互通信是完全正常的
. 而P2P要面对的问题就是两个IP都在NAT内网中,谁也无法率先发起连接(NAT会拒绝"不请自来"的外网连接),所以需要事先在"中间人(Server S)"上进行登记,登记的内容为对应的NAT公网IP:PORT
. 如果某个NAT内网IP需要向另一个NAT内网IP进行通信,需要"通知"中间人Server S,由它转发来告知目标NAT IP主动向自己主动发起连接,这谓之"打洞","打洞"完成后,当前NAT就记录了当前NAT IP和目标NAT外网IP的的会话记录了,而此时对于对方的NAT来说,同样也记录一个会话,解决了"鸡生蛋,蛋生鸡"的问题后,此后,两个NAT内网IP就可以互相开始正常通信了
0x2: Server端
#!/usr/bin/python
#coding:utf-
import socket, sys, SocketServer, threading, thread, time SERVER_PORT =
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, )
sock.bind(('', SERVER_PORT))
user_list = [] def server_handle():
while True:
cli_date, cli_pub_add = sock.recvfrom()
now_user = []
headder = []
cli_str = {}
headder = cli_date.split('\t')
for one_line in headder:
str = {}
str = one_line
args = str.split(':')
cli_str[args[]] = args[]
if cli_str['type'] == 'login' :
del cli_str['type']
now_user = cli_str
now_user['cli_pub_ip'] = cli_pub_add[]
now_user['cli_pub_port'] = cli_pub_add[]
user_list.append(now_user)
toclient = 'info#%s login in successful , the info from server'%now_user['user_name']
sock.sendto(toclient,cli_pub_add)
print'-'*
print"%s 已经登录,公网IP:%s 端口:%d\n"%(now_user['user_name'],now_user['cli_pub_ip'],now_user['cli_pub_port'])
print"以下是已经登录的用户列表"
for one_user in user_list:
print'用户名:%s 公网ip:%s 公网端口:%s 私网ip:%s 私网端口:%s'%(one_user['user_name'],one_user['cli_pub_ip'],one_user['cli_pub_port'],one_user['private_ip'],one_user['private_port'])
elif cli_str['type'] == 'alive':
pass
elif cli_str['type'] == 'logout' :
pass
elif cli_str['type'] == 'getalluser' :
print'-'*
for one_user in user_list :
toclient = 'getalluser#username:%s pub_ip:%s pub_port:%s pri_ip:%s pri_port:%s'%(one_user['user_name'],one_user['cli_pub_ip'],one_user['cli_pub_port'],one_user['private_ip'],one_user['private_port'])
sock.sendto(toclient,cli_pub_add) if __name__ == '__main__':
thread.start_new_thread(server_handle, ()) print'服务器进程已启动,等待客户连接'
while True:
for one_user in user_list:
toclient = 'keepconnect#111'
sock.sendto(toclient,(one_user['cli_pub_ip'],one_user['cli_pub_port']))
time.sleep()
0x3: Client
#!/usr/bin/python
#coding:utf-
import socket, SocketServer, threading, thread, time
CLIENT_PORT =
SERVER_IP = "114.55.36.222"
SERVER_PORT =
user_list = {}
local_ip = socket.gethostbyname(socket.gethostname())
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) def server_handle():
print'客户端线程已经启动 , 等待其它客户端连接'
while True:
data, addr = sock.recvfrom()
data_str = data.split('#')
data_type = data_str[]
data_info = data_str[]
if data_type == 'info' :
del data_str[]
print data_info
if data_type == 'getalluser' :
data_sp = data_info.split(' ')
user_name = data_sp[].split(':')[]
del data_sp[]
user_list[user_name] = {}
for one_line in data_sp:
arg = one_line.split(':')
user_list[user_name][arg[]] = arg[]
if data_type == 'echo' :
print data_info
if data_type == 'keepconnect':
messeg = 'type:alive'
sock.sendto(messeg, addr) if __name__ == '__main__':
thread.start_new_thread(server_handle, ())
time.sleep(0.1)
cmd = raw_input('输入指令>>')
while True:
args = cmd.split(' ')
if args[] == 'login':
user_name = args[]
local_uname = args[]
address = "private_ip:%s private_port:%d" % (local_ip, CLIENT_PORT)
headder = "type:login\tuser_name:%s\tprivate_ip:%s\tprivate_port:%d" % (user_name,local_ip,CLIENT_PORT)
sock.sendto(headder, (SERVER_IP, SERVER_PORT))
elif args[] == 'getalluser':
headder = "type:getalluser\tuser_name:al"
sock.sendto(headder,(SERVER_IP,SERVER_PORT))
print '获取用户列表中...'
time.sleep()
for one_user in user_list:
print'username:%s pub_ip:%s pub_port:%s pri_ip:%s pri_port:%s'%(one_user,user_list[one_user]['pub_ip'],user_list[one_user]['pub_port'],user_list[one_user]['pri_ip'],user_list[one_user]['pri_port'])
elif args[] == 'connect':
user_name = args[]
to_user_ip = user_list[user_name]['pub_ip']
to_user_port = int(user_list[user_name]['pub_port'])
elif args[] =='echo':
m = ' '.join(args[:])
messeg = 'echo#from %s:%s'%(local_uname,m)
sock.sendto(messeg, (to_user_ip, to_user_port))
time.sleep(0.1)
cmd = raw_input('输入指令>>')
0x4: 测试过程
1. 登录(NAT内网机器向Server S注册)
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
2. NAT内网IP获取Server S中注册用户,准备开始打洞
aaarticlea/png;base64,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" alt="" />
3. 用户A(51_10)需要向用户B(190_203)建立连接
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
完成打洞的建立和正常通信
Relevant Link:
http://www.cnblogs.com/yrh2847189/archive/2007/06/20/790013.html
http://lustlost.blog.51cto.com/2600869/1177494
4. P2P DEMO
A peer-to-peer file sharing server written in C, and client written in Java. Developed in collaboration with Justin Hill (https://github.com/justindhill).
p2p utilizes TCP server (https://github.com/mdlayher/tcpd) as well as the Apache Commons Codec (http://commons.apache.org/codec/) in order to facilitate the C server component
p2p uses a centralized directory server approach. Clients connect to the central server in order to retrieve a list of files which exist among peers in the network. Once a client requests to download a file, the connection is negotiated between peers, and the client can begin to download the file.
aaarticlea/png;base64,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" alt="" />
Relevant Link:
https://github.com/huangyingcai/p2p
5. ZeroNet P2P
ZeroNet是一个利用比特币加密和BT技术提供不受审查的网络与通信的BT平台,ZeroNet网络功能已经得到完整的种子的支持和加密连接,保证用户通信和文件共享的安全。使用ZeroNet,可以实现匿名上网,可以在任意一台机器上搭建网站,但即机器关闭,网站依然在全球存在,别人无法关闭这个网站
ZeroNet是一个去中心化的类似于Internet的网络,由Python制作,完全开源。网站由特殊的"ZeroNet URL"可以被使用一般的浏览器通过ZeroNet程序浏览,就像访问本地主机一样。ZeroNet默认并"不"匿名,但是用户可以通过内置的Tor功能进行匿名化。ZeroNet使用Bitcoin加密算法及BitTorrent网络
0x1: 优势
. 防DMCA Take down
. 基于p2p原理,只要建好并有人浏览过,即使服务器,网站依然在全球存在
. 基于p2p原理,支付内网穿透
. 基于比特币原理,账号很安全
. 不需要域名,任何人访问都使用http://127.0.0.1:43110/字符串
Relevant Link:
http://www.williamlong.info/archives/4574.html
https://github.com/HelloZeroNet/ZeroNet
Copyright (c) 2016 LittleHann All rights reserved