Transforming Triple-Entry Accounting with Machine Learning: A Path to Enhanced Transparency Through Analytics
Fuente:
arXiv
Saved in:
| Main Authors: | Weinberg, Abraham Itzhak, Faccia, Alessio |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Will Central Bank Digital Currencies (CBDC) and Blockchain Cryptocurrencies Coexist in the Post Quantum Era?
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
Dynamic Data Defense: Unveiling the Database in motion Chaos Encryption (DaChE) Algorithm -- A Breakthrough in Chaos Theory for Enhanced Database Security
by: Weinberg, Abraham Itzhak
Published: (2025)
by: Weinberg, Abraham Itzhak
Published: (2025)
Quantum Algorithms: A New Frontier in Financial Crime Prevention
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
Singularity Cipher: A Topology-Driven Cryptographic Scheme Based on Visual Paradox and Klein Bottle Illusions
by: Weinberg, Abraham Itzhak
Published: (2025)
by: Weinberg, Abraham Itzhak
Published: (2025)
ARCANE: Cross-Campaign Attacker Re-identification via Passive Beacon Telemetry -- A Bayesian Network Framework for Longitudinal Cyber Attribution
by: Weinberg, Abraham Itzhak
Published: (2026)
by: Weinberg, Abraham Itzhak
Published: (2026)
PHANTOM: Polymorphic Honeytoken Adaptation with Narrative-Tailored Organisational Mimicry
by: Weinberg, Abraham Itzhak
Published: (2026)
by: Weinberg, Abraham Itzhak
Published: (2026)
CLOUDBURST: Cloud-Layer Observations Using Beacons for Unified Real-time Surveillance and Threat Attribution
by: Weinberg, Abraham Itzhak
Published: (2026)
by: Weinberg, Abraham Itzhak
Published: (2026)
Passive Hack-Back Strategies for Cyber Attribution: Covert Vectors in Denied Environment
by: Weinberg, Abraham Itzhak
Published: (2025)
by: Weinberg, Abraham Itzhak
Published: (2025)
ORCHID: Orchestrated Reduction Consensus for Hash-based Integrity in Distributed Ledgers
by: Weinberg, Abraham Itzhak
Published: (2026)
by: Weinberg, Abraham Itzhak
Published: (2026)
Preparing for the Post Quantum Era: Quantum Ready Architecture for Security and Risk Management (QUASAR) -- A Strategic Framework for Cybersecurity
by: Weinberg, Abraham Itzhak
Published: (2025)
by: Weinberg, Abraham Itzhak
Published: (2025)
The Role and Applications of Airport Digital Twin in Cyberattack Protection during the Generative AI Era
by: Weinberg, Abraham Itzhak
Published: (2024)
by: Weinberg, Abraham Itzhak
Published: (2024)
Zero Trust Implementation in the Emerging Technologies Era: Survey
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
TruVRF: Towards Triple-Granularity Verification on Machine Unlearning
by: Zhou, Chunyi, et al.
Published: (2024)
by: Zhou, Chunyi, et al.
Published: (2024)
Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach
by: Gu, Michael, et al.
Published: (2024)
by: Gu, Michael, et al.
Published: (2024)
Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens
by: Anwar, Usman, et al.
Published: (2024)
by: Anwar, Usman, et al.
Published: (2024)
Anticipated Network Surveillance -- An extrapolated study to predict cyber-attacks using Machine Learning and Data Analytics
by: Srivastava, Aviral, et al.
Published: (2023)
by: Srivastava, Aviral, et al.
Published: (2023)
Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy
by: Gond, Bishwajit Prasad, et al.
Published: (2025)
by: Gond, Bishwajit Prasad, et al.
Published: (2025)
Data Distribution Shifts in (Industrial) Federated Learning as a Privacy Issue
by: Brunner, David, et al.
Published: (2024)
by: Brunner, David, et al.
Published: (2024)
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
by: Frimpong, Eugene, et al.
Published: (2024)
by: Frimpong, Eugene, et al.
Published: (2024)
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50
by: Yadav, Umesh, et al.
Published: (2025)
by: Yadav, Umesh, et al.
Published: (2025)
Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security
by: Esmaeili, Mona, et al.
Published: (2024)
by: Esmaeili, Mona, et al.
Published: (2024)
Anomaly Detection in Certificate Transparency Logs
by: Ostertág, Richard, et al.
Published: (2024)
by: Ostertág, Richard, et al.
Published: (2024)
Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions
by: Ganescu, Bianca-Mihaela, et al.
Published: (2024)
by: Ganescu, Bianca-Mihaela, et al.
Published: (2024)
Leveraging VAE-Derived Latent Spaces for Enhanced Malware Detection with Machine Learning Classifiers
by: Ajayi, Bamidele, et al.
Published: (2025)
by: Ajayi, Bamidele, et al.
Published: (2025)
TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification
by: Borah, Parthajit, et al.
Published: (2026)
by: Borah, Parthajit, et al.
Published: (2026)
GasTrace: Detecting Sandwich Attack Malicious Accounts in Ethereum
by: Liu, Zekai, et al.
Published: (2024)
by: Liu, Zekai, et al.
Published: (2024)
Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning
by: Shohan, Nizo Jaman, et al.
Published: (2025)
by: Shohan, Nizo Jaman, et al.
Published: (2025)
Sampling-Free Privacy Accounting for Matrix Mechanisms under Random Allocation
by: Schuchardt, Jan, et al.
Published: (2026)
by: Schuchardt, Jan, et al.
Published: (2026)
On the Conflict of Robustness and Learning in Collaborative Machine Learning
by: Raynal, Mathilde, et al.
Published: (2024)
by: Raynal, Mathilde, et al.
Published: (2024)
Predicting Vulnerability to Malware Using Machine Learning Models: A Study on Microsoft Windows Machines
by: Esnaashari, Marzieh, et al.
Published: (2025)
by: Esnaashari, Marzieh, et al.
Published: (2025)
A Geometric Framework for Adversarial Vulnerability in Machine Learning
by: Bell, Brian
Published: (2024)
by: Bell, Brian
Published: (2024)
SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards
by: Vitorino, João, et al.
Published: (2025)
by: Vitorino, João, et al.
Published: (2025)
Machine Learning with Confidential Computing: A Systematization of Knowledge
by: Mo, Fan, et al.
Published: (2022)
by: Mo, Fan, et al.
Published: (2022)
Analyzing Inference Privacy Risks Through Gradients in Machine Learning
by: Li, Zhuohang, et al.
Published: (2024)
by: Li, Zhuohang, et al.
Published: (2024)
Agentic Privacy-Preserving Machine Learning
by: Zhang, Mengyu, et al.
Published: (2025)
by: Zhang, Mengyu, et al.
Published: (2025)
Machine Learning with Privacy for Protected Attributes
by: Mahloujifar, Saeed, et al.
Published: (2025)
by: Mahloujifar, Saeed, et al.
Published: (2025)
On the (In)Security of Loading Machine Learning Models
by: Digregorio, Gabriele, et al.
Published: (2025)
by: Digregorio, Gabriele, et al.
Published: (2025)
Leveraging Large Language Models to Bridge Cross-Domain Transparency in Stablecoins
by: Xiang, Yuexin, et al.
Published: (2025)
by: Xiang, Yuexin, et al.
Published: (2025)
Machine Learning on Blockchain Data: A Systematic Mapping Study
by: Palaiokrassas, Georgios, et al.
Published: (2024)
by: Palaiokrassas, Georgios, et al.
Published: (2024)
A Generic Machine Learning Framework for Radio Frequency Fingerprinting
by: Hiles, Alex, et al.
Published: (2025)
by: Hiles, Alex, et al.
Published: (2025)
Similar Items
-
Will Central Bank Digital Currencies (CBDC) and Blockchain Cryptocurrencies Coexist in the Post Quantum Era?
by: Weinberg, Abraham Itzhak, et al.
Published: (2024) -
Dynamic Data Defense: Unveiling the Database in motion Chaos Encryption (DaChE) Algorithm -- A Breakthrough in Chaos Theory for Enhanced Database Security
by: Weinberg, Abraham Itzhak
Published: (2025) -
Quantum Algorithms: A New Frontier in Financial Crime Prevention
by: Weinberg, Abraham Itzhak, et al.
Published: (2024) -
Singularity Cipher: A Topology-Driven Cryptographic Scheme Based on Visual Paradox and Klein Bottle Illusions
by: Weinberg, Abraham Itzhak
Published: (2025) -
ARCANE: Cross-Campaign Attacker Re-identification via Passive Beacon Telemetry -- A Bayesian Network Framework for Longitudinal Cyber Attribution
by: Weinberg, Abraham Itzhak
Published: (2026)