PermissionError: [Errno 13] 访问 aws ec2 时权限被拒绝

我在虚拟机（在 Mac 上）上运行 ubuntu 16.04，在 aws ec2 ubuntu 18.04 上运行。我正在尝试运行 Jupiter 笔记本aws.ec2并尝试通过本地 Ubuntu 上的网络浏览器远程访问它。 我能够访问远程 ubuntu(aws.ec2) 终端。在我按照这个步骤操作之后link

我在第9步遇到以下错误。

我从头开始重新安装了 3 次（包括本地 ubuntu 和 aws ec2 实例），但到目前为止没有任何进展。

Last login: Thu Nov  1 06:34:07 2018 from 134.1****
ubuntu@ip-172-***:~$ export XDG_RUNTIME_DIR=""
ubuntu@ip-172-***:~$ jupyter notebook
[I 06:40:19.525 NotebookApp] Serving notebooks from local directory: /home/ubuntu
[I 06:40:19.528 NotebookApp] The Jupyter Notebook is running at:
[I 06:40:19.528 NotebookApp] https:// **** :8888/?token=727fbb120d19f55a435c1*****
[I 06:40:19.528 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 06:40:19.529 NotebookApp]

    Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
        https://(ip-172-31-***** .0.1):8888/?token=727fbb120d19f55a435c14*********
ERROR:asyncio:Exception in callback BaseAsyncIOLoop._handle_events(4, 1)
handle: <Handle BaseAsyncIOLoop._handle_events(4, 1)>
Traceback (most recent call last):
  File "/usr/lib/python3.6/asyncio/events.py", line 145, in _run
    self._callback(*self._args)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/platform/asyncio.py", line 122, in _handle_events
    handler_func(fileobj, events)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/stack_context.py", line 300, in null_wrapper
    return fn(*args, **kwargs)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/netutil.py", line 262, in accept_handler
    callback(connection, address)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/tcpserver.py", line 263, in _handle_connection
    do_handshake_on_connect=False)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/netutil.py", line 565, in ssl_wrap_socket
    context = ssl_options_to_context(ssl_options)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/netutil.py", line 540, in ssl_options_to_context
    context.load_cert_chain(ssl_options['certfile'], ssl_options.get('keyfile', None))
PermissionError: [Errno 13] Permission denied
ERROR:asyncio:Exception in callback BaseAsyncIOLoop._handle_events(4, 1)
handle: <Handle BaseAsyncIOLoop._handle_events(4, 1)>
Traceback (most recent call last):
  File "/usr/lib/python3.6/asyncio/events.py", line 145, in _run
    self._callback(*self._args)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/platform/asyncio.py", line 122, in _handle_events
    handler_func(fileobj, events)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/stack_context.py", line 300, in null_wrapper
    return fn(*args, **kwargs)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/netutil.py", line 262, in accept_handler
    callback(connection, address)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/tcpserver.py", line 263, in _handle_connection
    do_handshake_on_connect=False)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/netutil.py", line 565, in ssl_wrap_socket
    context = ssl_options_to_context(ssl_options)
  File "/home/ubuntu/.local/lib/python3.6/site-packages/tornado/netutil.py", line 540, in ssl_options_to_context
    context.load_cert_chain(ssl_options['certfile'], ssl_options.get('keyfile', None))
PermissionError: [Errno 13] Permission denied

Note1:在ec2实例上，Ubuntu有18.04版本，它附带了python 3.6.3，然后我必须在其顶部安装anaconda，然后一旦我输入$python3，Python版本现在是3.5.2。

Note2:尽管将 anaconda 安装到 EC2 后，python 版本降级为 3.5.2

一旦我检查了以下目录 /usr/local/lib/ ，只有 python3.6 文件夹存在，然后我输入 $sudo chmod 777 dist-packages/

然后$jupyter笔记本，然后复制令牌链接并与dns结合，但仍然不起作用。

我遇到了同样的问题，现在我只是通过尝试几件事解决了它。尝试这些解决方案看看是否有帮助：

1. 变更了所有权/home文件夹和~/.local/share/jupyter/文件夹到运行此命令的当前用户：

   sudo chown -R $USER /home/

   sudo chown -R $USER ~/.local/share/jupyter/

2. 如果您遇到 ssl 错误问题，请查看此link.

3. 确保您输入https://<jupyter-server-ip>在您的浏览器中而不是http://.

4. 如果你有Your connection is not privatechrome 出现问题，无法继续，请尝试 safari 或其他浏览器。在 70 或更高版本的 Chrome 中会发生这种情况。
5. 尝试 Leon Huang 的解决方案，为您的实例打开端口 8888。