Digital Forensics and Cyber Crime (Record no. 87795)

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fixed length control field 04980nam a22006495i 4500
001 - CONTROL NUMBER
control field 978-3-031-56580-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730171743.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031565809
-- 978-3-031-56580-9
082 04 - CLASSIFICATION NUMBER
Call Number 005.8
245 10 - TITLE STATEMENT
Title Digital Forensics and Cyber Crime
Sub Title 14th EAI International Conference, ICDF2C 2023, New York City, NY, USA, November 30, 2023, Proceedings, Part I /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 325 p. 129 illus., 101 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Crime profile analysis and Fact checking -- A Canary in the Voting Booth: Attacks on a Virtual Voting Machine -- Catch Me if You Can: Analysis of Digital Devices Artifacts Used in Murder Cases -- Enhancing Incident Management by an improved Understanding of Data Exfiltration: Definition, Evaluation, Review -- Identify Users on Dating Applications: A Forensic Perspective -- Removing Noise (Opinion Messages) For Fake News De-tection In Discussion Forum Using BERT Model -- Retruth Reconnaissance: A Digital Forensic Analysis of Truth Social -- Information hiding -- A Multi-Carrier Information Hiding Algorithm Based on Dual 3D Model Spectrum Analysis -- A Multi-Carrier Information Hiding Algorithm Based on Layered Compression of 3D Point Cloud Model -- Point cloud model information hiding algorithm based on multi-scale transformation and composite operator -- An Information Hiding Algorithm Baed on Multi-Carrier Fusion State Partitioning of 3D Models -- Machine learning -- CCBA: Code Poisoning-based Clean-Label Covert Backdoor Attack against DNNs -- Decoding HDF5: Machine Learning File Forensics and Data Injection -- DEML: Data-enhanced Meta-Learning Method for IoT APT Traffic Detection -- Finding Forensic Artefacts in Long-term Frequency Band Occupancy Measurements using Statistics and Machine Learning -- IoT Malicious Traffic Detection based on Federated Learning -- Persistent Clean-label Backdoor on Graph-based Semi-supervised Cybercrime Detection -- Backdoor Learning on Siamese Networks using Physical Triggers: FaceNet as a Case Study -- Research on Feature Selection Algorithm of Energy Curve -- Power Analysis Attack Based on GA-based Ensemble Learning.
520 ## - SUMMARY, ETC.
Summary, etc The two-volume set LNICST 570 and 571 constitutes the refereed post-conference proceedings of the 14th EAI International Conference on Digital Forensics and Cyber Crime, ICDF2C 2023, held in New York City, NY, USA, during November 30, 2023. The 41 revised full papers presented in these proceedings were carefully reviewed and selected from 105 submissions. The papers are organized in the following topical sections: Volume I: Crime profile analysis and Fact checking, Information hiding and Machine learning. Volume II: Password, Authentication and Cryptography, Vulnerabilities and Cybersecurity and forensics.
700 1# - AUTHOR 2
Author 2 Goel, Sanjay.
700 1# - AUTHOR 2
Author 2 Nunes de Souza, Paulo Roberto.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-56580-9
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Koha item type eBooks
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-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2024.
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-- computer
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-- online resource
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data protection.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Application software.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer systems.
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-- Computer networks .
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-- Software engineering.
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-- Operating systems (Computers).
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-- Data and Information Security.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer and Information Systems Applications.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer System Implementation.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Software Engineering.
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-- Operating Systems.
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-- 1867-822X ;
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