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UID:calendar.347871.field_event_date.0@www.wright.edu
DTSTAMP:20260219T203900Z
CREATED:20181201T221153Z
DESCRIPTION:Committee:  Drs. Yong Pei\, Advisor\, Mateen Rizki\, and Mr. Va
 nce SaundersABSTRACT:As the Internet continues to replace the brick-and-mo
 rtar store as the main place for purchasing goods\, web-based companies ar
 e looking for ways to reduce the cost of delivering those goods. The use o
 f Unmanned Aerial Vehicles\, or UAVs\, is one delivery method that is bein
 g used increasingly. These UAVs can be programmed with delivery routes and
  destinations and complete the job while only requiring limited interventi
 on from human controllers. Sense and Avoidance (SAA) systems have recently
  been incorporated into these UAVs\, such that they can detect objects in 
 their flight path\, reroute the UAV accordingly and operate in an even mor
 e autonomous fashion such that the interaction of a controller is minimize
 d. This is vital for delivery UAVs that are used within urban areas where 
 the threat of objects along the flight path is the greatest. As a result\,
  due to its low-cost and low-labor nature\, UAV delivery service is expect
 ed to become a critical part of emerging smart city infrastructure.However
 \, these SAA-capable UAVs may create another potential attack surface for 
 cyber threats\, which may significantly hinder the broader adoption of UAV
  delivery services if not properly and sufficiently addressed. This resear
 ch intends to provide a systematic study of this potential cyber challenge
  by uncovering the limitations of both UAV's SAA systems and the operation
 al procedure of UAV delivery services that could be exploited in an attemp
 t to disrupt orderly delivery services.This research starts with examining
  how an SAA system works and investigating its limitations. We then propos
 e a tessellation-based analysis approach\, using a typical urban scenario\
 , to define a safe-operation zone for UAVs which help determine the optima
 l number of UAVs that can operate safely in an urban area in order to effi
 ciently complete the potentially contentious delivery tasks. We will also 
 discuss the inherent weaknesses of web-based logistic management systems t
 hat are used to program the routes and destinations into the UAVs. Next\, 
 we look at how an SAA system can be overwhelmed such that the UAV can effe
 ctively be 'hacked' using a physical form of Distributed Denial of Service
  (DDoS). Finally\, we will examine ways that this form of DDoS threat can 
 be mitigated in order to support larger scale adoption of UAV delivery ser
 vices.
DTSTART;TZID=America/New_York:20181205T100000
DTEND;TZID=America/New_York:20181205T120000
LAST-MODIFIED:20181203T152254Z
LOCATION:484 Joshi
SUMMARY:Masters Thesis Defense “Overwhelming the SAA System of Delivery UAV
 s by Drone Swarming” By Barry Pfaff
URL;TYPE=URI:/events/masters-thesis-defense-%E2%80%9C
 overwhelming-saa-system-delivery-uavs-drone-swarming%E2%80%9D-barry-pfaff
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