Description

Book Synopsis

Quantum & Post-Quantum: Everlasting Fully Dynamic Group Signatures.- From ElGamal to Lattice-Based: Enhancing the Helios Voting System with Quantum-Safe Cryptography.- Post-Quantum Cryptography for Linux File System Integrity. Biometrics & Authentication: SEBioID: Secure and Effcient Biometric Identification with Two-Party Computation.- SoK: Continuous User Authentication Beyond Error Rates: Reviewing General System Properties.- Cancelable Biometrics based on Cosine Locality Sensitive Hashing and Grouped Inner Product Transformation for Real-valued Features. Privacy: PARSAN-Mix: Packet-Aware Routing and Shuffing with Additional Noise for Latency Optimization in Mix Networks.- ProvDP: Differential Privacy for System Provenance Dataset.- A New Quadratic Noisy Functional Encryption Scheme and Ist Application for Privacy Preserving Machine Learning.- FNSA: An Adaptive Privacy Protection Model for Trajectory Data.- SPPM: A Stackelberg Game-based Personalized Privacy-Preserving Model in Mobile Crowdsensing Systems. Machine Learning: Homomorphic WiSARDs: Effcient Weightless Neural Network training over encrypted data.- LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks.- Recovering S-Box Design Structures and Quantifying Distances between S-Boxes using Deep Learning.- Obfuscation for Deep Neural Networks against Model-based Extraction Attacks: Taxonomy and Optimization.

Applied Cryptography and Network Security

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    Order before 4pm tomorrow for delivery by Tue 16 Jun 2026.

    A Paperback by Marc Fischlin

    15 in stock


      View other formats and editions of Applied Cryptography and Network Security by Marc Fischlin

      Publisher: Springer
      Publication Date: 01/08/2025
      ISBN13: 9783031957666, 978-3031957666
      ISBN10:
      Also in:
      Computing Computer security

      Description

      Book Synopsis

      Quantum & Post-Quantum: Everlasting Fully Dynamic Group Signatures.- From ElGamal to Lattice-Based: Enhancing the Helios Voting System with Quantum-Safe Cryptography.- Post-Quantum Cryptography for Linux File System Integrity. Biometrics & Authentication: SEBioID: Secure and Effcient Biometric Identification with Two-Party Computation.- SoK: Continuous User Authentication Beyond Error Rates: Reviewing General System Properties.- Cancelable Biometrics based on Cosine Locality Sensitive Hashing and Grouped Inner Product Transformation for Real-valued Features. Privacy: PARSAN-Mix: Packet-Aware Routing and Shuffing with Additional Noise for Latency Optimization in Mix Networks.- ProvDP: Differential Privacy for System Provenance Dataset.- A New Quadratic Noisy Functional Encryption Scheme and Ist Application for Privacy Preserving Machine Learning.- FNSA: An Adaptive Privacy Protection Model for Trajectory Data.- SPPM: A Stackelberg Game-based Personalized Privacy-Preserving Model in Mobile Crowdsensing Systems. Machine Learning: Homomorphic WiSARDs: Effcient Weightless Neural Network training over encrypted data.- LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks.- Recovering S-Box Design Structures and Quantifying Distances between S-Boxes using Deep Learning.- Obfuscation for Deep Neural Networks against Model-based Extraction Attacks: Taxonomy and Optimization.

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