Information Security Theory and Practice. Securing the Internet of Things
8th IFIP WG 11.2 International Workshop, WISTP 2014, Heraklion, Crete, Greece, June 30 - July 2, 2014, Proceedings
Published on 25. June 2014
XVIII, 201 pages
978-3-662-43826-8 (ISBN)
Description
This volume constitutes the refereed proceedings of the 8th IFIP WG 11.2 International Workshop on Information Security Theory and Practices, WISTP 2014, held in Heraklion, Crete, Greece, in June/July 2014. The 8 revised full papers and 6 short papers presented together with 2 keynote talks were carefully reviewed and selected from 33 submissions. The papers have been organized in topical sections on cryptography and cryptanalysis, smart cards and embedded devices, and privacy.
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David Naccache | Damien Sauveron
Information Security Theory and Practice. Securing the Internet of Things
8th IFIP WG 11.2 International Workshop, WISTP 2014, Heraklion, Crete, Greece, June 30 - July 2, 2014, Proceedings
Book
07/2014
Springer
€53.49
Shipment within 7-9 days
Content
Sweet Dreams and Nightmares: Security in the Internet of Things.- A Security Analysis of Key Expansion Functions Using Pseudorandom Permutations.- Towards More Practical Time-Driven Cache Attacks.- Orthogonal Direct Sum Masking: A Smartcard Friendly Computation Paradigm in a Code, with Built in Protection against Side-Channel and Fault Attacks.- New Countermeasures against Fault and Software Type Confusion Attacks on Java Cards.- A Pre-processing Composition for Secret Key Recovery on Android Smartphone.- Usable Privacy for Mobile Sensing Applications.- A Secure Genetic Algorithm for the Subset Cover Problem and Its Application to Privacy Protection.- End-to-End Secure and Privacy Preserving Mobile Chat Application.- S-box, SET, Match: A Toolbox for S-box Analysis.- Policy-Based Access Control for Body Sensor Networks.- Personal Identification in the Web Using Electronic Identity Cards and a Personal Identity Provider.- CAN Bus Risk Analysis Revisit.- AU2EU: Privacy-Preserving Matching of DNA Sequences.- Early DDoS Detection Based on Data Mining Techniques.
