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Fraud Detection on Financial Statements Using Data Mining Techniques

Murat Cihan Sorkun
2017 International Journal of Intelligent Systems and Applications in Engineering  
In the training process, Linear Regression, Artificial Neural Networks, K-Nearest Neighbor algorithm, Support Vector Machine, Decision Stump, M5P Tree, J48 Tree, Random Forest and Decision Table were used  ...  This study explores the use of data mining methods to detect fraud for on e-ledgers through financial statements.  ...  Financial statements are summary reports produced from financial ledgers and financial tables do not contain as much information as ledger.  ... 
doi:10.18201/ijisae.2017531428 fatcat:vung7a6rsza3pimk7cz3wrsmmi

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks [article]

Marco Schreyer, Timur Sattarov, Christian Schulze, Bernd Reimer, and Damian Borth
2019 arXiv   pre-print
We demonstrate that such artificial neural networks are capable of learning a semantic meaningful representation of real-world journal entries.  ...  This holds in particular for the journal entries of an organization recorded in its general ledger and sub-ledger accounts.  ...  Driven by the recent technological advances in artificial intelligence [28] deep neural network-based techniques (e.g. deep autoencoder neural networks) have emerged into the field of forensic accounting  ... 
arXiv:1908.00734v1 fatcat:iew3huhrprfyzmdfiurkobj5zm

Front Matter: Volume 10652

Misty Blowers, Russell D. Hall, Venkateswara R. Dasari
2018 Disruptive Technologies in Information Sciences  
for face recognition at a distance [10652-25] BLOCKCHAIN INSPIRED ARCHITECTURES 10652 0U Blockchain of trust on a M2AP IoT architecture [10652-26] 10652 0V Low-latency partition tolerant distributed ledger  ...  10652-19] 10652 0O Path forward for softwarization to tackle evolving hardware [10652-21] 10652 0P Cyber defense through hardware security [10652-22] 10652 0Q Deep ear biometrics [10652-35] ARTIFICIAL NEURAL  ...  This year, the conference broadened its scope to include exciting and cutting edge disruptive technologies like new blockchain architectures, distributed ledger technologies, and quantum science-based  ... 
doi:10.1117/12.2502116 fatcat:nia2v7duffa25eyrkhfnel7rla

Cloud-Scale SDN Network Security in TeraFlow

Alberto Mozo, Stanislav Vakaruk, Antonio Pastor, Rahul Bobba, Carlos Natalino, Marija Furdek, Raül Muñoz, Ramon Casellas, Ricardo Martínez, Juan Pedro Fernández-Palacios, Ricard Vilalta
2021 Zenodo  
Ledgers.  ...  incorporation by design in the TeraFlow controller of (i) security using advanced Machine Learning (ML) techniques both in the data and control planes and (ii) forensic evidence for multitenancy based on Distributed  ...  TeraFlow will deliver a permissioned distributed ledger that utilizes blockchains for network management.  ... 
doi:10.5281/zenodo.5089918 fatcat:4s7kimfmcfcmto6igrjejudhwa

Computer Highlights Society Magazines

2021 Computer  
Neural Distributed Ledger The neural distributed ledger solution presented in this article from the September/October 2020 issue of IEEE Software adopts a ledger-of-ledgers approach to perform the interconnection  ...  of multiple ledgers.  ... 
doi:10.1109/mc.2020.3033609 fatcat:osebsv26zfdathfpnovz6ltig4

Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks [article]

Marco Schreyer, Timur Sattarov, Damian Borth, Andreas Dengel, Bernd Reimer
2018 arXiv   pre-print
To overcome this disadvantage and inspired by the recent success of deep learning we propose the application of deep autoencoder neural networks to detect anomalous journal entries.  ...  This holds in particular for the journal entries of an organization recorded in its general ledger and sub-ledger accounts.  ...  An autoencoder or replicator neural network defines a special type of feedforward multilayer neural network that can be trained to reconstruct its input.  ... 
arXiv:1709.05254v2 fatcat:xsfugembm5au5dxnyz3wcklioy

ISCC 2020 Keyword Index

2020 2020 IEEE Symposium on Computers and Communications (ISCC)  
Dicoogle Digital communications Digital Transformation Digital Twin Distance-2 graph coloring Distributed Ledger Technologies Distributed systems distribution fitting.  ...  Network convolutional neural network Convolutional Neural Network convolutional neural networks Convolutional Neural Networks Cooperative Management Coronavirus Cortex-A9 MPCore Cost function  ... 
doi:10.1109/iscc50000.2020.9219679 fatcat:al6gjafwwneo5g5paprquzp7n4

Adversarial Learning of Deepfakes in Accounting [article]

Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth
2019 arXiv   pre-print
In this work, we show an adversarial attack against CAATs using deep neural networks.  ...  Second, we show that adversarial autoencoder neural networks are capable of learning a human interpretable model of journal entries that disentangles the entries latent generative factors.  ...  The investigation revealed that the distribution of each Gaussian disentangles the nuances of the general accounting processes, e.g., (i) posted general-ledger accounts, (ii) posting amounts, or (iii)  ... 
arXiv:1910.03810v1 fatcat:7lzr63ahcbh7vm4n2y4xxr33bq

Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning [article]

Mathieu N Galtier, Camille Marini
2019 arXiv   pre-print
The computations are orchestrated by a Distributed Ledger Technology which guarantees traceability and authenticity of information without needing to trust a third party.  ...  In this white-paper, we introduce Substra, a distributed framework for privacy-preserving, traceable and collaborative Machine Learning.  ...  on distributed data.  ... 
arXiv:1910.11567v1 fatcat:n64rx74dfnf6jotyfo7hccsooi

Hierarchical Multipath Blockchain Based IoT information Management Techniques for Efficient Distributed Processing of Intelligent IoT Information

Yoon-Su Jeong, Sung-Ho Sim
2021 Sensors  
As the number of IoT devices increases, the safety of IoT information, which is vulnerable to cyber attacks, is emerging as an important area of interest in distributed cloud environments.  ...  In this paper, we propose a blockchain-based integrity verification technique in which large amounts of IoT information processed in distributed cloud environments can be guaranteed integrity in security  ...  Division Centralized Ledger Management Distributed Ledger Management Cloud Storage Table 1 . 1 Comparison of centralized ledger management technology with a distributed ledger management structure  ... 
doi:10.3390/s21062049 pmid:33799459 pmcid:PMC8001599 fatcat:bkuqonrdljde5h4phcln3b3wha

Simulation of Blockchain based Power Trading with Solar Power Prediction in Prosumer Consortium Model [article]

Kaung Si Thu, Weerakorn Ongsakul
2020 arXiv   pre-print
This research study demonstrates the simulation of blockchain based power trading with the supplement of solar power prediction with MLFF neural network training in two prosumer nodes.  ...  Prosumer consortium in a local group can be one of the solutions for energy costs, increasing performance and supplying university with improved electrification with distributed power generations.  ...  Fig 2 presents distributed ledger structure, blockchain is one component of a decentralized network that holds shared records.  ... 
arXiv:2007.11885v1 fatcat:4levjm55frfivhvdevjqfihkxq

ICDIM 2018 Author Index

2018 2018 Thirteenth International Conference on Digital Information Management (ICDIM)  
Ledger Transformations for Fintech Industry, Challenges, and Opportunities 296-301 A security and performance review of IoT encryption algorithms El-Salam, Hani K.  ...  Ledger Transformations for Fintech Industry, Challenges, and Opportunities Al-Fedaghi, Sabah 397-405 Security Processes as Machines: A Case Study Ali, Ghassan 296-301 A security and performance  ... 
doi:10.1109/icdim.2018.8846994 fatcat:f5l5uufqcrbrdb3xdl5id7kabe

QoS-Ledger: Smart Contracts and Metaheuristic for Secure Quality-of-Service and Cost-Efficient Scheduling of Medical-Data Processing

Abdullah Ayub Khan, Zaffar Ahmed Shaikh, Laura Baitenova, Lyailya Mutaliyeva, Nikita Moiseev, Alexey Mikhaylov, Asif Ali Laghari, Sahar Ahmed Idris, Hammam Alshazly
2021 Electronics  
processed information in a distributed ledger.  ...  ledger.  ...  Smart contract-2 for adding new healthcare transactions and updating the distributed ledger.  ... 
doi:10.3390/electronics10243083 fatcat:yr4wzq75z5ehrktjldxsxg2ltu

Blockchain and Artificial Intelligence Applications

2021 Special Issue: Blockchain and Artificial Intelligence Applications  
aaa The emergence and popularity of blockchain, distributed ledger technology distributed computing, and network security and trust techniques are significantly changing the operation and management of  ...  The paper "Video-based person reidentification based on distributed cloud computing," authored by Chengyan Zhong, Xiaoyu Jiang, and Guanqiu Qi, applies distributed cloud computing method to perform person  ...  aaa The emergence and popularity of blockchain, distributed ledger technology distributed computing, and network security and trust techniques are significantly changing the operation and management of  ... 
doi:10.37965/jait.2021.0019 fatcat:kp2jkkf2hrf25mjxlvehjjfxsi

Collective Intelligence: Decentralized Learning for Android Malware Detection in IoT with Blockchain [article]

Rajesh Kumar, WenYong Wang, Jay Kumar, Zakria, Ting Yang, Waqar Ali
2021 arXiv   pre-print
Specifically for malware detection task, (i) we propose a novel user (local) neural network (LNN) which trains on local distribution and (ii) then to assure the model authenticity and quality, we propose  ...  It is a distributed ledger that stores the data in blocks.  ...  ledger.  ... 
arXiv:2102.13376v2 fatcat:3gpn7qg56zgbvnugdrbxyiyfju
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