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_aEmerging Technologies for Authorization and Authentication _h[electronic resource] : _bSecond International Workshop, ETAA 2019, Luxembourg City, Luxembourg, September 27, 2019, Proceedings / _cedited by Andrea Saracino, Paolo Mori. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
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300 |
_aX, 189 p. 180 illus., 28 illus. in color. _bonline resource. |
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_acomputer _bc _2rdamedia |
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490 | 1 |
_aSecurity and Cryptology, _x2946-1863 ; _v11967 |
|
505 | 0 | _aLogics to reason formally about trust computation and manipulation -- An Authorization framework for Cooperate Intelligent Transport Systems -- A Framework for the Validation of Access Control Systems -- The Structure and Agency Policy Language (SAPL) for Attribute Stream-Based Access Control (ASBAC) -- Security Requirements for Store-on-Client and Verify-on-Server Secure Biometric Authentication -- Reflexive Memory Authenticator: a proposal for effortless renewable biometrics -- Collaborative Authentication using Threshold Cryptography -- MuFASA: a Tool for High-level Specification and Analysis of Multi-factor Authentication Protocols -- A Risk-driven Model to Minimize the Effects of Human Factors on Smart Devices -- A Formal Security Analysis of the p≡p Authentication Protocol for Decentralized Key Distribution and End-to-End Encrypted Email. | |
520 | _aThis book constitutes the proceedings of the Second International Workshop on Emerging Technologies for Authorization and Authentication, ETAA 2019, held in Luxembourg, in September 2019. The 10 full papers presented in this volume were carefully reviewed and selected from numerous submissions. They focus on new techniques for biometric and behavioral based authentication, authentication and authorization in the IoT and in distributed systems in general, techniques for strengthen password based authentication and for dissuading malicious users from stolen password reuse, an approach for discovering authentication vulnerabilities in interconnected accounts, and strategies to optimize the access control decision process in the Big Data scenario. | ||
650 | 0 | _aData protection. | |
650 | 0 | _aComputer networks . | |
650 | 0 | _aComputer systems. | |
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aData and Information Security. |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aComputer System Implementation. |
650 | 2 | 4 | _aSoftware Engineering. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aSaracino, Andrea. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aMori, Paolo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030397487 |
776 | 0 | 8 |
_iPrinted edition: _z9783030397500 |
830 | 0 |
_aSecurity and Cryptology, _x2946-1863 ; _v11967 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-39749-4 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
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