國立虎尾科技大學 |

Capturing Bluetooth Traffic in the Wild : = Practical Systems and Privacy Implications.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Capturing Bluetooth Traffic in the Wild :/
其他題名:	Practical Systems and Privacy Implications.
作者:	Albazrqaoe, Wahhab.
面頁冊數:	1 online resource (103 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
Contained By:	Dissertation Abstracts International79-08B(E).
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9780355846423

Capturing Bluetooth Traffic in the Wild : = Practical Systems and Privacy Implications.
Albazrqaoe, Wahhab.

Capturing Bluetooth Traffic in the Wild :Practical Systems and Privacy Implications. - 1 online resource (103 pages)

Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.

Thesis (Ph.D.)--Michigan State University, 2018.

Includes bibliographical references

Bluetooth wireless technology is today present in billions of smartphones, mobile devices, and portable electronics. With the prevalence of personal Bluetooth devices, a practical Bluetooth traffic sniffer is of increasing interest due to the following. First, it has been reported that a traffic sniffer is an essential, day-to-day tool for Bluetooth engineers and applications developers; and second, as the communication between Bluetooth devices is privacy-sensitive in nature, exploring the possibility of Bluetooth traffic sniffing in practical settings sheds lights into potential user privacy leakage.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355846423Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Capturing Bluetooth Traffic in the Wild : = Practical Systems and Privacy Implications.
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500 $a Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
500 $a Adviser: Guoliang Xing.
502 $a Thesis (Ph.D.)--Michigan State University, 2018.
504 $a Includes bibliographical references
520 $a Bluetooth wireless technology is today present in billions of smartphones, mobile devices, and portable electronics. With the prevalence of personal Bluetooth devices, a practical Bluetooth traffic sniffer is of increasing interest due to the following. First, it has been reported that a traffic sniffer is an essential, day-to-day tool for Bluetooth engineers and applications developers; and second, as the communication between Bluetooth devices is privacy-sensitive in nature, exploring the possibility of Bluetooth traffic sniffing in practical settings sheds lights into potential user privacy leakage.
520 $a To date, sniffing Bluetooth traffic has been widely considered an extremely intricate task due to wideband spread spectrum of Bluetooth, pseudo-random frequency hopping adopted by Bluetooth at baseband, and the interference in the open 2.4 GHz band. This thesis addresses these challenges by introducing novel traffic sniffers that capture Bluetooth packets in practical environments. In particular, we present the following systems. (i) BlueEar, the first practical Bluetooth traffic sniffing system only using general, inexpensive wireless platforms. BlueEar features a novel dual-radio architecture where two inexpensive, Bluetooth-compliant radios coordinate with each other to eavesdrop on hopping subchannels in indiscoverable mode. Statistic models and lightweight machine learning tools are integrated to learn the adaptive hopping behavior of the target. Our results show that BlueEar maintains a packet capture rate higher than 90% consistently in dynamic settings. In addition, we discuss the implications of the BlueEar approach on Bluetooth LE sniffing and present a practical countermeasure that effectively reduces the packet capture rate of sniffer by 70%, which can be easily implemented on the Bluetooth master while requiring no modification to slave devices like keyboards and headsets.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
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690 $a 0984
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710 2 $a Michigan State University. $b Computer Science - Doctor of Philosophy. $3 1188138
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