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Titlebook: Smart Card Research and Advanced Applications; 8th IFIP WG 8.8/11.2 Gilles Grimaud,Fran?ois-Xavier Standaert Conference proceedings 2008 IF

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31#
發(fā)表于 2025-3-27 00:54:18 | 只看該作者
Malicious Code on Java Card Smartcards: Attacks and Countermeasures,ion against this, notably by code signing..This paper gives an extensive overview of vulnerabilities and possible runtime countermeasures against ill-typed code, and describes results of experiments with attacking actual Java Cards currently on the market with malicious code.
32#
發(fā)表于 2025-3-27 03:35:28 | 只看該作者
Application of Network Smart Cards to Citizens Identification Systems,ed specifications are transparently reused and integrated in the proposed architecture. Details of the protocol and authentication mechanisms are provided for a Case of Study: Spanish National Electronic ID Card.
33#
發(fā)表于 2025-3-27 06:59:29 | 只看該作者
Conference proceedings 2008elected from 51 submissions. The papers deal with the various issues related to the use of small electronic tokens in the process of human-machine interactions. The conference scopes include numerous subfields such as networking, efficient implementations, physical security, biometrics, etc.
34#
發(fā)表于 2025-3-27 11:24:39 | 只看該作者
Conference proceedings 2008 in London, UK, in September 2008. The 21 revised full papers presented, together with the abstract of one invited talk, were carefully reviewed and selected from 51 submissions. The papers deal with the various issues related to the use of small electronic tokens in the process of human-machine int
35#
發(fā)表于 2025-3-27 13:47:09 | 只看該作者
36#
發(fā)表于 2025-3-27 18:33:08 | 只看該作者
37#
發(fā)表于 2025-3-27 23:51:52 | 只看該作者
38#
發(fā)表于 2025-3-28 02:13:39 | 只看該作者
Smart Card Research and Advanced Applications978-3-540-85893-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
39#
發(fā)表于 2025-3-28 08:23:28 | 只看該作者
Fraud Detection and Prevention in Smart Card Based Environments Using Artificial Intelligence,research deals with behaviour based detection engine, which will detect abnormalities by learning the usual behaviour of the user and detecting new unusual behaviours. The behaviour-based detection engines is based on ‘Neural Networks’. This work considers the feasibility of implementing ‘Neural Network’ fraud engine on a Smart card platforms.
40#
發(fā)表于 2025-3-28 14:09:58 | 只看該作者
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