Title page for etd-0525118-113804


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URN etd-0525118-113804
Author Shih-Ming Tseng
Author's Email Address No Public.
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Department Communications Engineering
Year 2017
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Physical-Layer Security Design for Distributed Detection with Attackers
Date of Defense 2018-06-08
Page Count 37
Keyword
  • wireless sensor networks
  • physical-layer security
  • eavedroppers
  • attackers
  • distributed detection
  • Abstract 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.
    Advisory Committee
  • Tsung Chen-Wan - chair
  • Tseng Fan-Shuo - co-chair
  • Huang Wan-Jen - co-chair
  • Wang Tsang-Yi - advisor
  • Files
  • etd-0525118-113804.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2018-06-25

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