Information Security Practice and Experience

19th International Conference, ISPEC 2024, Wuhan, China, October 25¿27, 2024, Proceedings
Herausgegeben:Xia, Zhe; Chen, Jiageng

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 19th International Conference on Information Security Practice and Experience, ISPEC 2024, held in Wuhan, China, during October 25-27, 2024.

The 22 full papers presented in this volume were carefully reviewed and selected from 70 submissions. They cover multiple topics of cyber security and applied cryptography. The main goal of ISPEC 2024 conference was to promote research on new information security technologies, including their applications and their integration with IT systems in various vertical sectors.

Produktdetails

• Lecture Notes in Computer Science 15053
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-9052-4
• Seitenzahl: 416
• Erscheinungstermin: 25. Oktober 2024
• Englisch
• Abmessung: 235mm x 155mm x 23mm
• Gewicht: 628g
• ISBN-13: 9789819790524
• ISBN-10: 9819790522
• Artikelnr.: 71524976

Inhaltsangabe

.- Secure Federated Distillation Framework for Encrypted Traffic Classification .

.- TriNT: A Framework for ROV Identification based on Triplet.

.- Lattice-Based Universal Designated Multi-Verifiers Signature Scheme.

.- Differential Cryptanalysis against SIMECK Implementation in a Leakage Profiling Scenario.

.- Shrinkable Ring Signatures: It wasn't them.

.- Related-Tweakey Boomerang and Rectangle Attacks on Reduced-Round Joltik-BC.

.- Isogeny-based Password-Authenticated Key Exchange based on Shuffle Algorithm.

.- A New Construction of Leakage-resilient Identity-based Encryption Scheme.

.- Enhancing Portability in Deep Learning-based Side-Channel Attacks against Kyber.

.- Generic CCA Secure Key Homomorphic KEM and Updatable Public Key Encryption.

.- Breaking GEA-like Stream Ciphers with Lower Time Cost.

.- SNIPER: Detect Complex Attacks Accurately from Traffic.

.- From the Perspective of Prototypes: A Privacy-Preserving Personalized Federated Learning Framework.

.- Efficient Large-Scale Multi-Party Computation Based on Garbled Circuit.

.- Parallel Implementation of Sieving Algorithm on Heterogeneous CPU-GPU Computing Architectures.

.- Unveiling the Efficacy of BERT's Attention in Memory Obfuscated Malware Detection.

.- An eID-based Privacy-enhanced Public Transportation Ticket System.

.- Outsourced and Robust Multi-Party Computation with Identifying Malicious Behavior and Application to Machine Learning.

.- Controlled Multi-Client Functional Encryption for Flexible Access Control.

.- A Secure Incentive Mechanism in Blockchain-based Mobile Crowdsensing.

.- A Comparative Analysis of Phishing Tools: Features and Countermeasures.

.- OEIBS: A Secure Obfuscation for Encrypted Identity-Based Signatures Scheme in NB-IoT.