Buch, Englisch, 551 Seiten, Format (B × H): 155 mm x 235 mm
22nd International Conference, Inscrypt 2026, Hong Kong, China, November 7–9, 2026, Proceedings, Part III
Buch, Englisch, 551 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9276-77-6
Verlag: Springer
The three-volume set, LNCS 17226-17228, constitutes the proceedings of the 22nd International Conference on Information Security and Cryptology, Inscrypt 2026, held in Hong Kong, China, during November 2026.
The 87 full papers presented in these proceedings were carefully reviewed and selected from 309 submissions. The papers were organized in the following topical sections:
Part I: Symmetric Cryptanalysis; Public-Key Cryptanalysis; Cryptographic Implementations; International Workshop on Secure Cryptographic
Implementations and Engineering (SCIEN).
Part II: Cryptographic Primitives; Privacy-Preserving Computation; Blockchain Security.
Part III: AI for Security; Security of Machine Learning; Systems Security.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
Weitere Infos & Material
.- AI for Security.
.- LogFlowLLM: Enhanced Intelligent Analysis of Cybersecurity Alert Logs with Multi-LoRA Collaborative Reasoning.
.- TraceRAG: An Adaptive Retrieval and Logic-Constrained Generation Framework for APT Attack Chain Reasoning.
.- AttackLLM: LLM-Guided Attack Synthesis for Accelerated Formal Analysis of Security Protocols.
.- From Clues to Evidence Chains: Verifying LLM-Generated Firmware Security Findings.
.- L2R: Verification-Guided Repair of LLM-Generated Smart-Home Automation Rules.
.- SecLawKG: Tamper-Evident and Privacy-Aware Knowledge Graph Construction for the Legal Domain with Locally Deployed LLMs.
.- PhishSigma++: Malicious Email Detection with Typed Entity Relations.
.- BiMamba: A Lightweight Bidirectional Mamba Network for Encrypted Traffic Classification.
.- Enhancing Maritime Safety Through Accurate Ship Trajectory Prediction: A Multi-Scale CNN-Transformer Approach.
.- Security of Machine Learning.
.- Spectrum-Guided Scale-Spatial Fusion Attack for Transferable Adversarial Examples.
.- RAMP: Reversing Adversarial Perturbations to Strengthen Clean-Label Backdoor Attacks against Malware Detectors.
.- Beyond Feature-Space Perturbations: Realistic Behavior-Level Attacks Against Ethereum Phishing Detection.
.- Improved Sign Recovery for Hard Label Cryptanalytic Extraction of Deep Neural Networks.
.- CAFE: Neural Network Fingerprinting via Critical-Margin Examples and Sequential Hypothesis Testing.
.- Does Efficiency Leak? Auditing the Privacy of Compressed and Stale Updates in Federated Intrusion Detection for IoT.
.- Systems Security.
.- Round-optimized and Compact Anonymous Authenticated Key Exchange.
.- SR-KEMTLS: Completing KEMTLS with Session Resumption.
.- Binding Properties and Robust Entity Authentication: A Systematic Formal Analysis of ISO/IEC 9798-3.
.- SM2 vs. Non-SM2: A Comparative Study Against S/MIME and HTTPS Certificate Ecosystem.
.- General Covert Communication Framework Based on Application Virtualization.
.- FilterFuzz: Accelerating IoT Web Fuzzing via Sender-Side Pre-Filtering.
.- IVVD: A Vulnerability Discovery Method for In-Vehicle Infotainment Firmware.
.- CSRAtlas: Semantic EFSM-Driven Testcase Generation for Processor Fuzzing.
.- EMUHook: Service/Library-Entry Hooks for Android Malware Detection.
.- Physical-Feedback-Guided Reverse Analysis of CAN Action-Functional Fields in Intelligent Connected Vehicles.
.- A Measurement Study of Input Context in CAN Bus Intrusion Detection.
.- Command-Trace Semi-Fragile Watermarking for Robot Execution Integrity and Registered-Source Attribution.
