國立虎尾科技大學 |

登入

回首頁

Bitcoin Transaction Tracing and Purc...

Carnegie Mellon University.

Bitcoin Transaction Tracing and Purchasing Behavior Characterization of Online Anonymous Marketplaces Using Side Channels.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Bitcoin Transaction Tracing and Purchasing Behavior Characterization of Online Anonymous Marketplaces Using Side Channels./
作者:	Garcia, Eugene Lemuel R.
面頁冊數:	1 online resource (48 pages)
附註:	Source: Masters Abstracts International, Volume: 57-04.
Contained By:	Masters Abstracts International57-04(E).
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9780355526646

Bitcoin Transaction Tracing and Purchasing Behavior Characterization of Online Anonymous Marketplaces Using Side Channels.
Garcia, Eugene Lemuel R.

Bitcoin Transaction Tracing and Purchasing Behavior Characterization of Online Anonymous Marketplaces Using Side Channels. - 1 online resource (48 pages)

Source: Masters Abstracts International, Volume: 57-04.

Thesis (M.S.)--Carnegie Mellon University, 2017.

Includes bibliographical references

We investigate to which degree one could trace Bitcoin transactions and characterize purchasing behavior of online anonymous marketplaces by exploiting side channels. Using a list of addresses found by the FBI on Silk Road servers, and information on the marketplace's official guides, we infer the role played by each address in the list and classify them based on heuristics. We then attempt to trace Bitcoin transactions and show that the anonymity set size is greatly reduced using product review data and the address classification performed on the previous step. Finally, using clustering techniques based on transaction graph analysis, we assign addresses into user wallets, then group these wallets together based on spending patterns, to be able to characterize purchasing behavior.

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

Mode of access: World Wide Web

ISBN: 9780355526646Subjects--Topical Terms:

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

554714
Electronic books.

Bitcoin Transaction Tracing and Purchasing Behavior Characterization of Online Anonymous Marketplaces Using Side Channels.
LDR:02041ntm a2200337Ki 4500 001 920383
005 20181129124501.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9780355526646
035 $a (MiAaPQ)AAI10687442
035 $a (MiAaPQ)cmu:10186
035 $a AAI10687442
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Garcia, Eugene Lemuel R. $3 1195162
245 1 0 $a Bitcoin Transaction Tracing and Purchasing Behavior Characterization of Online Anonymous Marketplaces Using Side Channels.
264 0 $c 2017
300 $a 1 online resource (48 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 57-04.
500 $a Adviser: Nicolas Christin.
502 $a Thesis (M.S.)--Carnegie Mellon University, 2017.
504 $a Includes bibliographical references
520 $a We investigate to which degree one could trace Bitcoin transactions and characterize purchasing behavior of online anonymous marketplaces by exploiting side channels. Using a list of addresses found by the FBI on Silk Road servers, and information on the marketplace's official guides, we infer the role played by each address in the list and classify them based on heuristics. We then attempt to trace Bitcoin transactions and show that the anonymity set size is greatly reduced using product review data and the address classification performed on the previous step. Finally, using clustering techniques based on transaction graph analysis, we assign addresses into user wallets, then group these wallets together based on spending patterns, to be able to characterize purchasing behavior.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
650 4 $a Economics. $3 555568
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
690 $a 0501
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Carnegie Mellon University. $b Electrical and Computer Engineering. $3 1182305
773 0 $t Masters Abstracts International $g 57-04(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10687442 $z click for full text (PQDT)

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得

Export

取書館別