220fe5d04f243242d1ba5349847cbc74 sensors_a2016v16n6p776.pdf 8cddec4457a5bd152232667638b2ab64c8a62154 sensors_a2016v16n6p776.pdf 1cb69ba0d06160faf0b815176e49465a2583b65fd767a5f2feb0777ff348ad15 sensors_a2016v16n6p776.pdf Title: Reputation and Reward: Two Sides of the Same Bitcoin Subject: In Mobile Crowd Sensing (MCS), the power of the crowd, jointly with the sensing capabilities of the smartphones they wear, provides a new paradigm for data sensing. Scenarios involving user behavior or those that rely on user mobility are examples where standard sensor networks may not be suitable, and MCS provides an interesting solution. However, including human participation in sensing tasks presents numerous and unique research challenges. In this paper, we analyze three of the most important: user participation, data sensing quality and user anonymity. We tackle the three as a whole, since all of them are strongly correlated. As a result, we present PaySense, a general framework that incentivizes user participation and provides a mechanism to validate the quality of collected data based on the users' reputation. All such features are performed in a privacy-preserving way by using the Bitcoin cryptocurrency. Rather than a theoretical one, our framework has been implemented, and it is ready to be deployed and complement any existing MCS system. Keywords: mobile crowd sensing; cryptocurrencies; reputation systems; privacy; bitcoin Author: Sergi Delgado-Segura, Cristian Tanas and Jordi Herrera-Joancomartí Creator: LaTeX with hyperref package Producer: pdfTeX-1.40.15 CreationDate: Fri May 27 16:51:32 2016 ModDate: Fri May 27 16:51:32 2016 Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 23 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 450177 bytes Optimized: no PDF version: 1.5 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- REUYVC+URWPalladioL-Ital Type 1 Custom yes yes no 142 0 RMEAKG+URWPalladioL-Bold Type 1 Custom yes yes no 143 0 GFVVXS+URWPalladioL-Roma Type 1 Custom yes yes no 144 0 RVSEMT+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 148 0 GIGFZE+CMR10 Type 1 Builtin yes yes no 271 0 WXXNCW+CMSY10 Type 1 Builtin yes yes no 272 0 SFBQEF+MyriadPro-Regular Type 1C WinAnsi yes yes no 317 0 WEIJUK+CMSY9 Type 1 Builtin yes yes no 437 0 java.lang.ClassCastException: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject cannot be cast to edu.harvard.hul.ois.jhove.module.pdf.PdfDictionary at edu.harvard.hul.ois.jhove.module.PdfModule.readDocCatalogDict(PdfModule.java:1284) at edu.harvard.hul.ois.jhove.module.PdfModule.parse(PdfModule.java:525) at edu.harvard.hul.ois.jhove.JhoveBase.processFile(JhoveBase.java:825) at edu.harvard.hul.ois.jhove.JhoveBase.process(JhoveBase.java:614) at edu.harvard.hul.ois.jhove.JhoveBase.dispatch(JhoveBase.java:465) at Jhove.main(Jhove.java:296) Jhove (Rel. 1.6, 2011-01-04) Date: 2016-11-19 02:42:57 CET RepresentationInformation: sensors_a2016v16n6p776.pdf ReportingModule: BYTESTREAM, Rel. 1.3 (2007-04-10) LastModified: 2016-11-14 10:58:51 CET Size: 450177 Format: bytestream Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/octet-stream Checksum: a3bed8bf Type: CRC32 Checksum: 220fe5d04f243242d1ba5349847cbc74 Type: MD5 Checksum: 8cddec4457a5bd152232667638b2ab64c8a62154 Type: SHA-1