Meaning construction and judicial identification: Difficulties and countermeasures of criminal regulation of illegal fundraising behavior on online P2P lending platforms

Peng, Xinlin; Luo, Xiaoshuang Iris; Li, Jian

doi:10.1515/ijld-2019-2018

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…Regarding the current research status of network information security in the context of big data, relevant scholars have made research reports on related issues of big data [10].…”

Section: Related Workmentioning

confidence: 99%

Research on Clue Mining in Criminal Cases of Smart Phone Trojan Horse under the Background of Information Security

Wen

2022

Journal of Robotics

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With the massive popularity and wide application of Android smartphones, there are more and more malware targeting Android smartphones. Research and analysis Android smart phone Trojan horses can provide corresponding technical support for malware detection on Android smart phones, which has good scientific research significance and broad market value. This work studies and analyzes the existing implantation technology of Android smart phone Trojans and analyzes the basic principles and implementation methods of obtaining root permissions on mobile phones. At the same time, the basic principles and implementation methods of mobile phone Trojan horse hiding are also studied. Through the research of the broadcast receiver model of the Android platform, the background monitoring principle and implementation technology of the mobile phone Trojan horse are analyzed, and the theoretical foundation and technical support are provided for the implementation of the Trojan horse background monitoring program in this article. Aiming at the problem of insufficient training corpus in the event relationship classification task, this work proposes an event relationship classification method based on tritraining. This method first trains three different classifiers based on the labeled dataset. In the collaborative training process, the new labeled event pairs used to expand each classifier are provided by the other two classifiers. For the same unlabeled event pair, the relationship prediction results are consistent; then, the event pair is considered to have a higher classification confidence and is placed in the labeled set of the third classifier after labeling. Finally, a well-trained classifier is used to determine the relationship between the pair of events to be tested by voting. This study constructs a weighted network structure model called the conceptual network and determines its upper weight based on the structural information and text data of the knowledge network. Aiming at the problem of the lack of means for mining-related forms between things, the pheromone strategy of absorbing the ant colony algorithm is proposed, and random walks are performed on the conceptual network. By analyzing the pheromone distribution information in the convergent state, the calculation of the semantic relevance is completed. At the same time, the method of semantic clue discovery is realized. The experimental results show that the human cognitive information contained in the knowledge network can meet the needs of the mining of the related forms of things, and the performance of the semantic correlation calculation method based on the convergence pheromone is close to other random walk methods based on the knowledge network.

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“…Regarding the current research status of network information security in the context of big data, relevant scholars have made research reports on related issues of big data [10].…”

Section: Related Workmentioning

confidence: 99%

Research on Clue Mining in Criminal Cases of Smart Phone Trojan Horse under the Background of Information Security

Wen

2022

Journal of Robotics

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“…The government intervention showed a continuous negative effect, which is in line with reality. Due to the rapid growth of the DF industry and the existence of loopholes in industrial regulation, illegal behaviors such as providing highinterest loans to teenagers who are attending school, illegal fund-raising, and naked lending inevitably emerged [53], which have aroused widespread concern among the media and the public. In 2016, P2P platforms began to collapse in large numbers, and the executives fled overseas with the money they raised, which was a wake-up call for the government.…”

Section: The Drivers Present Significant Spatial Heterogeneity Over Timementioning

confidence: 99%

Evolution, Forecasting, and Driving Mechanisms of the Digital Financial Network: Evidence from China

Ding,

Shen,

Zhu

et al. 2023

Sustainability

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Digital finance (DF) is the engine driving financial inclusion worldwide, but the current uneven development of DF across regions would hinder this process. Based on cross-sectional data from 288 prefecture-level cities for the representative years 2011, 2014, 2017, and 2020, this paper uses geographic detector methods, social network analysis, and geographical and temporal weighted regression (GTWR) to explore the key drivers of urban DF, revealing and forecasting the DF network structural evolution and its driving mechanism. The results show that (1) economic level, traditional financial level, internet popularity, innovation level, and government intervention are the key drivers of DF development. (2) During the decade, the proportion of high-intensity urban interconnections increased from 3.3% to 12.3%. Most cities are at a low level of intensity, showing a polarization trend. (3) The cities with high betweenness centrality are concentrated in the megacities and the number is stable at 5. The structure of network communities is relatively stable, with the number reduced to 10. Cities with the greatest possibility of connection are located in the Pearl River Delta (PRD) and the Yangtze River Delta (YRD), accounting for 60% of the total. (4) The drivers of DF development present significant spatial heterogeneity over time. The traditional financial level shows a positive and continuous promoting effect, while government intervention plays a negative role.

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“…Not blind to that, the banking sector is trying to keep up with these changes by taking advantage of the convenience that Android features provide. Banking tries to innovate and modernize services or its application using systems in the field of technology by creating banking companies to provide money or credit lending services online or by using an application and of course with different systems including in the fintech industry (Peng, Luo, & Li, 2019). For example, banking companies that run online or fintech, namely Rupiah Plus, Friends Money, Cash Us, AkuLaku and others, we have found in the play store with guarantees of ease of withdrawal and security in transactions.…”

Section: Introductionmentioning

confidence: 99%

Optional problem solving in peer-to-peer lending

Wardhani¹,

Octarina²

2022

Ekspose J. Penelit. Huk. dan Pendidik.

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This study aims to find alternative solutions to peer-to-peer lending problems. This study uses a normative juridical approach. The data collection technique used is documentation technique (scientific journal articles related to peer-to-peer lending). The data analysis technique used is analytical descriptive analysis regarding default settlement options in peer-to-peer lending. The results of this study indicate that alternative solutions for solving peer-to-peer lending problems are based on Article 21 POJK No. 77/POJK.01/2016 the parties are required to mitigate risks through litigation channels, namely by going to court on the basis of default (Article 1243 Civil Code) made by the recipient of the loan; and the non-litigation route, namely through mediation because mediation efforts are included in the substance of the law (Law Number 30 of 1999 concerning Arbitration and Alternative Dispute Resolution).

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Meaning construction and judicial identification: Difficulties and countermeasures of criminal regulation of illegal fundraising behavior on online P2P lending platforms

Cited by 5 publications

References 6 publications

Research on Clue Mining in Criminal Cases of Smart Phone Trojan Horse under the Background of Information Security

Research on Clue Mining in Criminal Cases of Smart Phone Trojan Horse under the Background of Information Security

Evolution, Forecasting, and Driving Mechanisms of the Digital Financial Network: Evidence from China

Optional problem solving in peer-to-peer lending

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