Strategic business movements? The migration of online romance fraudsters from Nigeria to Ghana by Suleman Lazarus, Mark Button, Kaina Habila Garba, Adebayo Benedict Soares, Mariata Hughes

Subjects: “…Online romance fraud…”
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ASAD: A Meta Learning-Based Auto-Selective Approach and Tool for Anomaly Detection by Nadia Rashid, Rashid Mehmood, Fahad Alqurashi, Saad Alqahtany, Juan M. Corchado

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Banking Cybercrime as One of the Main Problems of Modern Society by K. A. Kovtun

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ESTUDIO COMPARADO EN LA PROTECCIÓN PENAL DE LOS INGRESOS AL ESTADO by Ricardo Echavarría Ramírez, Carmen Eloisa Ruíz López

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Drawing on social approval as a linguistic strategy: A discourse semantic analysis of judgement evaluation in suspected online romance scammer dating profiles by Lee Kam-Fong, Chan Mei Yuit, Ali Afida Mohamad

Subjects: “…online romance fraud…”
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Data mining approach in detecting inaccurate financial statements in government-owned enterprises by Amra Gadžo, Mirza Suljić, Adisa Jusufović, Slađana Filipović, Erna Suljić

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A problem-agnostic approach to feature selection and analysis using SHAP by John T. Hancock, Taghi M. Khoshgoftaar, Qianxin Liang

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THE EXPERIENCE OF COMBATING THE SHADOW ECONOMY IN THE EUROPEAN COUNTRIES by E. Hakopyan

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Muhâsebede Hata ve Hilelerin Önlenmesinde Mali Hizmet Çalışanlarının Sorumluluğunun Tespitine Yönelik Bir Araştırma by Onur Açıkgöz, Enis Baha Biçer

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İHMALİ HAREKETLERLE İŞLENEN DOLANDIRICILIK SUÇUNUN CEZALANDIRILMASI SORUNU by Burak Taş, Meral Ekici

Subjects: “…fraud…”
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FORMATION AND DEVELOPMENT OF CONSTITUTIONAL BASIS FINANCIAL LAW OF TUNISIA by E. A. Ryzhkova

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Imitations in Higher Education as a Social Problem by P. A. Ambarova, G. E. Zborovsky

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A methodological approach to assess the ropy character of stirred acid dairy gels based on the measure of adhesiveness by Siwar Nahali, Audrey Gilbert, Charlotte Marchand, Marie-Hélène Lessard, Donna Miller, Sébastien Fraud, Steve Labrie, Sylvie L. Turgeon

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ANTICORRUPTION POLICY IN HIGHER EDUCATION AND NEW ACADEMIC ETHICS by Marina N. Makarova, Roman V. Vakhrushev

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İkna Yoluyla Dolandırıcılık: Dolandırıcılık Faaliyetlerinde İkna ve Etkili İletişim Yöntemlerinin Tespiti Üzerine Bir Araştırma by Atalay Bahar

Subjects: “…fraud by persuasion…”
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AYNÎ HAK SAHİBİ OLMAYAN SATICI VEYA SAĞLAYICININ TÜKETİCİYE DEVRE TATİL SÖZLEŞMESİ SATMASI SUÇU by Burak Boz

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The Risk of Corruption and Money Laundering: An Analysis of Personal Predespositions and Socio-Economic Challenges by Andrey Hasiholan Pulungan, Hardhana Setiawan, Faris Windiarti

“…Using logistic regression (LR), the research found that age and workplace are associated positively to the likelihood of ones to commit to fraud. Elder fraudsters are documented to have 1,72 higher possibility to commit to fraud compared to younger fraudsters. …”
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Detecting Rug-Pull: Analyzing Smart Contract Backdoor Codes in Ethereum by Kwan Woo Yu, Byung Mun Lee

“…However, the absence of such a certification authority increases the risk of fraud. Rug-pull, a typical form of fraud, involves developers hiding backdoor codes in smart contracts to steal funds under certain conditions, causing significant damage to users. …”
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An integrated optimization model of network behavior victimization identification based on association rule feature extraction by Shengli ZHOU, Linqi RUAN, Rui XU, Xikang ZHANG, Quanzhe ZHAO, Yuanbo LIAN

“…The identification of the risk of network behavior victimization was of great significance for the prevention and warning of telecom network fraud.Insufficient mining of network behavior features and difficulty in determining relationships, an integrated optimization model for network behavior victimization identification based on association rule feature extraction was proposed.The interactive traffic data packets generated when users accessed websites were captured by the model, and the implicit and explicit behavior features in network traffic were extracted.Then, the association rules between features were mined, and the feature sequences were reconstructed using the FP-Growth algorithm.Finally, an analysis model of telecom network fraud victimization based on network traffic analysis was established, combined with the stochastic forest algorithm of particle swarm optimization.The experiments show that compared with general binary classification models, the proposed model has better precision and recall rates and can effectively improve the accuracy of network fraud victimization identification.…”
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Explainable unsupervised anomaly detection for healthcare insurance data by Hannes De Meulemeester, Frank De Smet, Johan van Dorst, Elise Derroitte, Bart De Moor

“…Abstract Background Waste and fraud are important problems for health insurers to deal with. …”
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