Merge pull request 'main' (#16) from dqy/mimajingsai:main into main
Reviewed-on: sangge/mimajingsai#16
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commit
063d13a405
@ -2,11 +2,9 @@ from fastapi import FastAPI
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from fastapi.encoders import jsonable_encoder
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from fastapi.responses import JSONResponse
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from contextlib import asynccontextmanager
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from typing import Tuple, Callable
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import sqlite3
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import asyncio
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import time
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import random
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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@ -28,7 +26,7 @@ cursor.execute('''CREATE TABLE IF NOT EXISTS nodes (
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)''')
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def init():
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task = asyncio.create_task(receive_heartbeat_internal())
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asyncio.create_task(receive_heartbeat_internal())
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def clean_env():
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# 关闭游标和连接
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@ -93,16 +91,13 @@ async def receive_heartbeat(ip: str):
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cursor.execute("UPDATE nodes SET last_heartbeat = ? WHERE ip = ?", (time.time(), ip))
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return {"status": "received"}
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async def receive_heartbeat_internal() -> int:
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async def receive_heartbeat_internal():
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while 1:
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print('successful delete1')
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timeout = 10
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timeout = 70
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# 删除超时的节点
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cursor.execute("DELETE FROM nodes WHERE last_heartbeat < ?", (time.time() - timeout,))
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conn.commit()
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print('successful delete')
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await asyncio.sleep(timeout)
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return 1
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@app.get("/server/send_nodes_list")
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async def send_nodes_list(count: int) -> JSONResponse:
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@ -272,7 +272,7 @@ def f(x: int, f_modulus: list, T: int) -> int:
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return res
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def GenerateReKey(sk_A: int, pk_B: point, N: int, T: int) -> list:
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def GenerateReKey(sk_A: int, pk_B: point, N: int, T: int, id_tuple: Tuple[int,...]) -> list:
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"""
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param:
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skA, pkB, N(节点总数), T(阈值)
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@ -288,7 +288,7 @@ def GenerateReKey(sk_A: int, pk_B: point, N: int, T: int) -> list:
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# d是Bob的密钥对与临时密钥对的非交互式Diffie-Hellman密钥交换的结果
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d = hash3((X_A, pk_B, multiply(pk_B, x_A)))
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# 计算多项式系数, 确定代理节点的ID(一个点)
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# 计算多项式系数
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f_modulus = []
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# 计算f0
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# f0 = (sk_A * inv(d, G.P)) % G.P
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@ -305,10 +305,10 @@ def GenerateReKey(sk_A: int, pk_B: point, N: int, T: int) -> list:
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for i in range(N):
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y = random.randint(0, sm2p256v1.N - 1)
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Y = multiply(g, y)
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s_x = hash5(i, D) # id需要设置
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s_x = hash5(id_tuple[i], D) # id需要设置
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r_k = f(s_x, f_modulus, T)
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U1 = multiply(U, r_k)
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kFrag = (i, r_k, X_A, U1)
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kFrag = (id_tuple[i], r_k, X_A, U1)
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KF.append(kFrag)
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return KF
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