Internet and Telecommunication Fraud Prevention Analysis based on Deep Learning

Predicting Suspicious Money Laundering Transactions using Machine Learning Algorithms

“…Recent research has found that AI-based tools can quickly and accurately assess historical transactions, customer types, and the history of each activity in large datasets and identify signals or trends that may lead to violation of AML sanctions (Kurum 2020;Singh and Lin 2021;Alkhalili, Qutqut, and Almasalha 2021;Turki et al 2021). Research has also found that complex patterns can be understood in real time and over long periods, providing incredibly valuable insights for organizations seeking to comply with applicable regulations using AI-based solutions (Khan et al 2022;Nissan 2012;Ofoeda et al 2022;Masciandaro and Filotto 2001;Ni and Wang 2022).…”

“…By combing through large sets of customer data, transactions, and other indicators, sophisticated algorithms can identify trends or anomalies that may indicate criminal activity ( Kim and Kogan 2014;Novikova and Kotenko 2014;Yixuan Zhang et al 2020). Algorithms such as supervised ML and neural networks have been used extensively in the financial industry to scan large numbers of transactions that would be impossible to inspect manually (Chen et al 2018;Lokanan 2022;Rocha-Salazar, Segovia-Vargas, and Camacho-Miñano 2021;Ni and Wang 2022). This data-driven approach has enabled banks and other financial institutions to quickly identify suspicious behavior, allowing them to take preemptive action to prevent noncompliant activities (Lokanan 2022).…”

Cybercrime

“…The Internet is a viral tool worldwide, improving production in the modern conventional work office (Peifeng & Wang, 2022). However, there have been some very adverse effects of the Internet, as the Internet has provided a space for criminals to commit internet fraud (Peifeng & Wang, 2022). When Comparing traditional methods of fraud and the newly emerged trend of using the Internet for fraud, one of the significant differences is the ability to commit no-contact and anonymous crimes on a large portion of the population in a concise amount of time (Peifeng & Wang, 2022).…”

“…However, there have been some very adverse effects of the Internet, as the Internet has provided a space for criminals to commit internet fraud (Peifeng & Wang, 2022). When Comparing traditional methods of fraud and the newly emerged trend of using the Internet for fraud, one of the significant differences is the ability to commit no-contact and anonymous crimes on a large portion of the population in a concise amount of time (Peifeng & Wang, 2022). The criminals use different internet platforms to commit fraud, such as webchats, SMS, and other telecommunication products tied to the Internet (Peifeng & Wang, 2022).…”

Research on telecom network fraud crime offenses and the optimization path of basic information gathering based on grounded theory

“…The digital age has dramatically facilitated many aspects of our lives, whereas cybersecurity issues threaten the positive effects of technology 1 , especially online fraud, telecom network fraud 2 . In 2020, national public security agencies resolved 256,000 cases of telecom network fraud, but contactless fraud crimes via telecom and the Internet have seen rapid growth 3 . Against this backdrop, this paper conducts empirical research to examine the current state and characteristics of telecom network fraud crimes, analyzing existing issues and vulnerabilities.…”