EMERGING GAMBLING MARKET OF GEORGIA (ECONOMIC DIMENSION) by Besik Bolkvadze

“…In any country, the gambling business is associated with the ugly and difficult-to-control practice of money laun­dering, which states are struggling with through various monitoring levers and mechanisms. …”
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Counteraction corruption under martial law: an analysis of problems and opportunities by O. S. Bondarenko, O. O. Tymoshenko

“…It was noted that the most striking manifestations of corruption are the transfer of funds (undeclared) to other accounts (money laundering through virtual accounts), embezzlement of humanitarian aid, enrichment with financial funds received in the form of aid during the conflict, non-payment of taxes due to martial law, etc. …”
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Developing the Preventing Model of Transnational Crimes in Russia and Indonesia in the Age of Sanctions and Global Economic Instability by Toebagus Galang Windi Pratama, Ruslan Puzikov, Sergey Lantsov, Vadim Ponkratov, Ekaterina Khomenko, Larisa Vatutina, Gustavo Henrique Rodrigues Pessoa

“…This study reveals novel insights into the distinct patterns of transnational crime: Russia primarily faces cybercrime, economic offenses, and money laundering, while Indonesia grapples with human trafficking, environmental crimes, and maritime piracy. …”
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Kebijakan Indonesia Menjadi Anggota Financial Action Task Force (FATF) Sebagai Kebijakan yang Rasional by Khilda Luqyana Arifin, Yanuar Rahmadan

“…Indonesia's acceptance as the 40th member of the FATF results from a long road traveled over the years and is an international recognition of Indonesia's efforts in combating money laundering and terrorism financing. FATF is an important forum for Indonesia to be understood as a safe investment country and a supporting factor for the standard context of countries in establishing business relations with the international community. …”
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Sybil-Resistant Self-Sovereign Identity Utilizing Attested Execution Secure Processors and Zero-Knowledge Membership Proofs by Koichi Moriyama, Akira Otsuka

“…SSI brings various benefits to natural persons, such as owning controls; conversely, digital identity systems in the real world require Sybil-resistance to comply with anti-money laundering (AML) and other needs. CanDID by Maram et al. proposed that decentralized digital identity systems may achieve Sybil-resistance and preserve privacy by utilizing multi-party computation (MPC), assuming a distributed committee of trusted nodes. …”
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Detection method of mixed coin transaction based on CoinJoin——take the Wasabi platform as an example by Hu LI, Yunfang CHEN, Wei ZHANG

“…Designed to enhance the privacy of user transactions, mixed coin technology has created disruptions to the address clustering rules typically used for cryptocurrency regulation.Consequently, hackers have begun utilizing mixed coin technology as a tool for money laundering and fund evasion, which has raised concerns among financial regulators regarding the detection of mixed coin transactions.Currently, most detection methods for mixed coin transactions rely on data analysis and statistics, lacking a comprehensive understanding of the internal workings of these transactions.This lack of knowledge may undermine the credibility and effectiveness of detection methods due to the absence of reliable verification data.CoinJoin, a decentralized mixed coin concept, represents one approach, and commercial implementations like Wasabi have gained popularity.Drawing from the characteristics of CoinJoin and its restriction on the size of anonymous transaction sets and mixed coin amounts, a general detection method for CoinJoin mixed coin transactions was devised.Such transactions typically involved multiple inputs and outputs, with more output items than UTXOs in the input, and a high occurrence of duplicate values among the output amounts.A basic detection method for Wasabi was developed by combining the generic detection method for CoinJoin with specific features of Wasabi, as identified in related studies, to complete the detection process.A trusted validation dataset was acquired from the Wasabi platform service interface, and this dataset was analyzed to achieve two objectives.First, the alignment of rule parameters in the Wasabi base detection method was accomplished.Second, a new metric was proposed, measuring the ratio of the highest frequency of duplicate values in the output amount of transactions to the number of UTXOs in the input.This metric assessed the level of user participation in mixed coin transactions, providing a measure of user freedom.Using these two approaches, significant progress is made in the detection of mixed coin transactions.The experiments show that the recall rate of Wasabi’s basic detection method is 94.2% and the accuracy rate is 67.2%.After the analytical feedback from the credible validation dataset, the recall rate of the improved detection method reaches 100% and the accuracy rate is above 99%.The total market size of the entire CoinJoin type of mixed coin transactions was evaluated and predicted based on a common test methodology.It is concluded that the number of CoinJoin mixed coin transactions in today’s mixed coin market represents 1.9 per 1 000 of all Bitcoin transactions and 3.7 per 1 000 of the transaction value at most.…”
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Analysis of Ethereum transactions during the prevention and investigation of criminal offenses by V. V. Nosov, O. V. Manzhai, Ye. V. Panchenko

“…It has been emphasized that when analyzing ethereum transactions, it is necessary to use not only ready-made tools, but also various scientific methods, such as identifying key criminal groups and wallets, identifying cases of money laundering using cryptocurrencies, additional address profiling, prevention of illegal behavior on the trading ethereum platform. …”
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The analysis of efficiency of risk-based approach in supervision activities of Federal Tax Service in the system of state financial monitoring by E. I. Brichka, I. A. Kolesnik, Yu. S. Zharkova

“…As a result, tax evasion, which is one of the predicate crimes, by organizations causes the growth of the shadow economy and contributes to the processes of money laundering. In this regard, the tasks of justifying the need to modernize the risk management system when implementing tax control in Russia and analyzing the introduction of a modern risk-based approach to tax supervision in order to stabilize the country’s financial system are very relevant. …”
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