近期, 由於智慧家庭系統的崛起以及邊境戰事的需求, 加上感測器的低成本以及便利性, 無線感測
網路已經是不可或缺的系統, 但因為感測器暴露在開放的空間中, 大幅增加了被攻擊或故障的可能性,
由於感測器遍布在不同地區不可能立即逐一檢查並修復, 因此融合中心必須具備在感測器遭受攻擊時
仍可正確判斷資訊的能力。
本論文考慮存在攻擊者的無線感測網路系統, 為了降低系統錯誤率, 我們提出一種新的方法, 首先
利用似然比檢測分析各感測器的傳送訊號, 同時加總其他感測器的傳送值並判斷其欲傳送訊號, 接著
比較兩者傳送訊號是否相符, 如果相吻合, 則判定其感測器為合法感測器; 反之, 則為攻擊者, 最後, 融
合中心只考慮合法感測器的傳送訊號並利用多數決的方式作出最終決策。

Recently, due to the rise of smart home systems, the need for border battles and also with
the low cost and convenience of sensors, the wireless sensing network becomes an indispensable
system. However, since the sensor is exposed in the open space, the possibility of being attacked
or malfunctioning is greatly increased. Furthermore, because sensors are less likely to be checked
and repaired individually across different regions, the fusion center must have the ability to
correctly judge information when the sensor has already been attacked.
This thesis basically considers an under-attack wireless sensor network system. To reduce
the system error rate, a new method is proposed. First, the likelihood ratio test is used to
analyze the transmission signals of each sensor. Meanwhile, the transmission signals of other
sensors are summed up and fusion center judges which signals were transmitted. The two
transmission signals are then compared to check whether if they are matched. If both signals
are identical, then determine the sensor as a legitimate sensor; otherwise, determine the sensor
as an attacker. Finally, the fusion center only considers the transmission signal of the legitimate
sensor and uses the majority decision to make the final decision.

目錄
摘要 i
Abstract ii

1 序論 1
1.1 介紹. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 文獻回顧. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2
1.3 研究動機. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3
1.4 研究方法及貢獻. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.5 論文架構. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6

2 系統模型 7
2.1 存在攻擊者的無線感測網路系統模型. . . . . . . . . . . . . . . . . 7
2.2 感測器節點. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

3 融合中心系統分析 11
3.1 決策方法. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .11
3.2 真偽感測器之判定. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .　13
3.3 閥值分析. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
3.3.1 最終閥值(Λ) 分析. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .14
3.3.2 感測器閥值(δ) 分析. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

4 模擬分析 16
4.1 模擬一. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .17
4.2 模擬二. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .22

5 結論 26
參考文獻 27

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