完成数据传输功能的实现
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# Liu
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# 主要目标:实现对数据的预测和攻击的预警,完成图像化显示
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# 分目标:
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# 1.数据传输(完成)
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# 2.同步进行数据传输和数据预测
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# 3.数据预测结果显示
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# 4.预测结果和实际结果比对
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# 5.抗攻击模型和原始模型多重预测比对
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listen.py
30
listen.py
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@ -12,7 +12,7 @@ class VoltageReceiver():
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def receive_data(self):
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self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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self.sock.bind(('localhost', 9996))
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self.sock.bind(('127.0.0.1', 9996))
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self.sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
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self.sock.listen(1)
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@ -55,10 +55,38 @@ class VoltageReceiver():
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print("Warning: New data has arrived but the old data has not been taken away.")
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def write_to_file(data, filename):
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"""
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This function write data to a local .txt file
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:param data: str, data to be written to the file
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:param filename: str, name of the file
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"""
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with open(filename, 'w') as file:
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file.write(data)
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def read_from_file(filename):
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"""
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This function read data from a local .txt file
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:param filename: str, name of the file
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:return: str, data read from the file
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"""
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with open(filename, 'r') as file:
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data = file.read().replace('\n', '')
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return data
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if __name__ == "__main__": # 测试代码
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receiver = VoltageReceiver() # 创建一个 VoltageReceiver 的实例
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receiver.start() # 开始监听
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while receiver.active:
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if receiver.dataready: # 当数据准备好时,打印数据
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data = read_from_file('test.txt')
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if data == '#' or data == '':
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print(receiver.get_data())
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write_to_file(receiver.get_data(), "test.txt")
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else:
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pass
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receiver.stop() # 停止监听
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@ -0,0 +1,99 @@
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# Import packages
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from dash import Dash, dcc, html, Input, Output
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import feffery_antd_components as fac
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import plotly.graph_objs as go
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from listen import VoltageReceiver
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def read_from_file(filename):
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"""
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This function read data from a local .txt file
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:param filename: str, name of the file
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:return: str, data read from the file
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"""
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with open(filename, 'r') as file:
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data = file.read().replace('\n', '')
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return data
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def write_to_file(data, filename):
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"""
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This function write data to a local .txt file
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:param data: str, data to be written to the file
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:param filename: str, name of the file
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"""
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with open(filename, 'w') as file:
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file.write(data)
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def go_figure_set(X, Y, figuremode, width=600, height=400, title=''):
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# 创建折线图
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line_chart = go.Figure(data=go.Scatter(x=X, y=Y, mode=figuremode))
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line_chart.update_layout(
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autosize=False,
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width=width,
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height=height,
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title=title
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)
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return line_chart
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# Initialize the app
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app = Dash(__name__)
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X = list(range(1, 1001))
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Y = [0] * 1000
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# App layout
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app.layout = html.Div(
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[
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html.Div([
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dcc.Graph(
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id='line-chart',
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figure=go_figure_set(X, Y, 'lines'),
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)], style={
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'display': 'inline-block',
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'position': 'absolute', # 使用绝对定位
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'right': '20px', # 距离页面右边20px
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'top': '20px', # 距离页面顶部20px
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'width': '600px' # 设置图表容器的宽度
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}), # 将折线图添加到Dash应用中
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dcc.Interval(
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id='interval-update',
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interval=1*10, # in milliseconds
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),
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],
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style={
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'padding': '50px 100px'
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},
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)
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# Define callback to update statistic
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@app.callback(
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Output('line-chart', 'figure'),
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Input('interval-update', 'n_intervals')
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)
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def update_output(n_intervals):
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data = read_from_file('test.txt')
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if data == '#':
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pass
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else:
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Y.append(float(data))
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Y.pop(0)
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write_to_file('#', "test.txt")
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line_chart = go_figure_set(X, Y, 'lines')
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# 更新图表布局,设置新的X轴范围
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line_chart.update_layout(xaxis=dict(range=[0, 2001]))
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line_chart.add_trace(go.Scatter(x=list(range(1001, 1051)), y=list(range(1, 51)), mode='lines',line=dict(color='red')))
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return line_chart
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# Run the app
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if __name__ == '__main__':
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app.run_server(debug=True, port=8050)
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5
post.py
5
post.py
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@ -1,4 +1,6 @@
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import socket
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import random
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import time
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# 创建一个socket:
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s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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while True:
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try:
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# 输入需要发送的数据
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data = input("Enter the voltage data you want to send (or 'exit' to quit): ")
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data = str(random.randint(1, 10))
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time.sleep(0.1)
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if data.lower() == 'exit':
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break
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# 发送数据:
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