Pervasive, Dynamic Authentication of Physical Items.
The article discusses challenges associated with static public identifiers used by RFID tags and bar codes to authenticate genuine physical items and distinguish them from counterfeits. Topics include the cryptographic implementation of a challenge/response protocol on devices requiring a keyed cryp...
| Published in: | Communications of the ACM Vol. 60; no. 4; pp. 32 - 40 |
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| Main Authors: | , |
| Format: | Article |
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Association for Computing Machinery
Apr2017
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=122295216&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 122295216 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Apr2017 vid: 60 iid: 4 pid: 68 pub: Association for Computing Machinery artinfo: ui: 122295216 10.1145/3024922 ppf: 32 ppct: 8 formats: tig: atl: Pervasive, Dynamic Authentication of Physical Items. aug: au: MENG-DAY (MANDEL) YU DEVADAS, SRINIVAS affil: Chief scientist at Verayo Inc. Webster professor of electrical engineering and computer science at MIT su: Product coding Product counterfeiting prevention Automatic identification Computer programming Computer circuits Bar codes sug: subj: Product coding Product counterfeiting prevention Automatic identification Computer programming Computer circuits Bar codes ab: The article discusses challenges associated with static public identifiers used by RFID tags and bar codes to authenticate genuine physical items and distinguish them from counterfeits. Topics include the cryptographic implementation of a challenge/response protocol on devices requiring a keyed cryptographic module and an obfuscated secret key, the use of silicon physical unclonable functions (PUF) circuits for challenge/response authentication to combat counterfeiting, and the successful application of machine-learning attacks on PUF implementations. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2017 holdings: @attributes: islocal: N |
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