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Real-Time Wireless Sensor Network Signal Analysis for Security Applications

Real-Time Wireless Sensor Network Signal Analysis for Security Applications. EE423 Senior Design Fall 2002 Mark Woolley Eric Andersen Steve Laudato Rebecca Bednarczyk Advisor: Uf Tureli . Outline. Who is the customer? Security agencies What is our goal?

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Real-Time Wireless Sensor Network Signal Analysis for Security Applications

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  1. Real-Time Wireless Sensor Network Signal Analysis for Security Applications EE423 Senior Design Fall 2002 Mark Woolley Eric Andersen Steve Laudato Rebecca Bednarczyk Advisor: Uf Tureli

  2. Outline • Who is the customer? • Security agencies • What is our goal? • To build and test a system of secure wireless communications through the use of a custom waveform

  3. Background • Wireless sensor networks used today: • Signal can be easily detected and recognized by unwanted listeners • Do not utilize modern wireless technology • Have little or no security against active or passive attacks • Using current technologies, networks can be optimized for: • Efficiency • Size • Power distribution • Signal security

  4. Problem • Hiding the carrier waveform from unwanted listeners who want to monitor the signal with a spectrum analyzer • How has the problem been approached in the past? • Spread-spectrum modulation has been used in • cellular networks • wireless LAN • Not in our case (sensor networks)

  5. Design Approach COM-5001 LAN/IP Interface COM-8001 Custom Waveform Generation COM-2001 D/A Conversion COM-4001 Dual Band Modulator RF out • Create custom waveform • Use spread-spectrum modulation to disguise waveform within noise levels Transmitter COM-3001 Dual Band Receiver COM-8002 High Speed Data Acquisition COM-5001 LAN/IP Interface RF in Receiver

  6. Challenges • What impact will your solution have? • Vast networks can be deployed and monitored without fear of interception or jamming • Security agencies will be able to wirelessly monitor and record valuable information easily and securely • What challenges do you envision and how will you get around them? • Vulnerability of wireless signals • Using custom waveforms for spread spectrum modulation • Different sampling rates between Comblock Modules and accessible equipment • Comblock Modules will be over-clocked to match the the sample rates of accessible equipment • Multiple parts that will require assembly, calibration, testing • Using accessible laboratory hardware and software, • Effective communication • Firm project planning

  7. Summary • Through custom waveform generation and spread-spectrum modulation, we will be able to disguise waveforms • These waveforms will appear as noise and cannot be detected • This will allow us to build a system of secure wireless communications that can be applied to a wireless sensor network

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