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Produktbild: Digital Forensics and Cyber Crime
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Digital Forensics and Cyber Crime 16th EAI International Conference, ICDF2C 2025, Miami, FL, USA, November 17–19, 2025, Proceedings, Part II

Aus der Reihe Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

78,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

08.07.2026

Abbildungen

XII, 172 illus., 139 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Kim-Kwang Raymond Choo + weitere

Verlag

Springer

Seitenzahl

584

Maße (L/B)

23,5/15,5 cm

Gewicht

891 g

Sprache

Englisch

ISBN

978-3-032-22544-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

08.07.2026

Abbildungen

XII, 172 illus., 139 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

584

Maße (L/B)

23,5/15,5 cm

Gewicht

891 g

Sprache

Englisch

ISBN

978-3-032-22544-3

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Digital Forensics and Cyber Crime

  • .- Cyber Threat Intelligence and Malware Analysis: Focus on malware detection, honeynets, phishing, traffic analysis, and intrusion defense. 

    .-  An encrypted traffic classification method based on Mamba and wavelet transform convolution.

    .- MFETD: Multimodal Feature Fusion for Encrypted Traffic Detection based on Transformer.

    .- Online Learning for Android Malware Detection under Concept-Drift.

    .- Evaluating the Impact of Honeynets on Malicious Activity in Home Network Environments.

    .- Revealing the Intents: Malware Protocol Semantic Inference using Large Language Models.

    .- PhishIntentionLLM: Uncovering Phishing Website Intentions through Multi-Agent Retrieval-Augmented Generation.

    .- APT-Agent: A Training-Free, Unsupervised, LLM-Based Multi-Agent Framework for Interpretable Advanced Persistent Threat Detection.

    .- Digital Evidence Management, Blockchain, and Privacy: Addressing blockchain forensics, data provenance, and privacy-preserving computation.

    .- Blockchain-based vs. SQL Database Systems for Digital Twin Evidence Management: A Comparative Forensic Analysis.

    .- FAIR-MPC:Secure and Auditable SMPC for Anonymous Financial Collaboration.

    .- Privacy-Preserving k-Bitruss Community Query over Encrypted Bipartite Graphs.

    .- Towards Regulated and Accountable Privacy-Preserving Retrieval for Digital Forensics: A Cryptographic Design Framework.

    .- Automatic Recovery of Cryptowallets from Mnemonic Seed Phrases.

    .- AnchorMark: Real-World Anchor-Based Watermarking for Digital Content Authentication and Manipulation Detection.

    .- Critical Infrastructure and Cyber-Physical Security: Cyber resilience in physical and industrial systems, including IoT,satellites, and SCADA.

    .-  Resilient Satellite Cybersecurity: Integrating NIST and AI Governance.

    .-  An Enhanced Federated Machine Learning Approach for Decentralized Water Contamination Detection.

    .- DepFieldGen: Research on Dependent Field Generation for Secure ICS Protocols.

    .- A ROSI-Based Framework with Zero Trust Architecture: Interdependent Risks and Cybersecurity Investment.

    .- Accelerating Criminal Investigations with TRACY.

    .- Legal, Policy, and AI Governance in Digital Forensics:Studies bridging AI governance, digital law, compliance, and socio-technical policy.

    .- Retrospective Analysis of Legal Documents Using Hybrid AI - A Preliminary Empirical Study of Historical Search Warrant Processing.

    .- Where the Money Is: Shadow AI Risks to Family Offices and the Wealth Management Sector.

    .- Chances and Challenges of the Model Context Protocol in Digital Forensics and Incident Response.

    .- SCOPE - Activity Recognition Using Temporally Dominant Topic Identification In Forensic Chat Analysis.

    .- Automating Cloud Security and Forensics Through a Secure-by-Design GenAI Framework.

    .- Understanding Online Grooming Through LLMs: Stage Detection and Linguistic Patterns.

    .- Emerging Research, Tools, and Experimental Frameworks: Novel methods, datasets, and future directions in digital forensics and cybersecurity.

    .- Graph Neural Networks for Video Device Identification.

    .-  WebHunter: An LLM-Agent with Exploit Planning and Tool Collaboration for Automated SQL Injection.

    .- AFLTrans: An Intelligent Generative Fuzz Testing Method for Binary Programs Based on Transformer.

    .-  HLSEn: High-level Semantic Awareness Pseudo-code Encoding for Binary Code Similarity Detection.

    .- SolDataVul-LLaMA Dataset: a LLM-driven construction method and detection research of smart contract vulnerability dataset in data trading scenarios.

    .-  The sample classification method accelerates the efficiency of robustness verification.

    .- MuLImg-SCV: Multi-Label Vulnerability Classification of Smart Contracts Based on RGB Image.

    .- On the Security of the RDHEI by Binary Symmetric Channel and Polar Code.

    .- Posters & Demos.

    .- Enhancing Trust in VideoKYC: Deepfake Detection and Source Attribution.