Abstract
In today’s globalized situation, people on the one hand enjoy the great convenience brought by the Internet and artificial intelligence Internet of Things (IoT) technology, and, on the other hand, they are also inevitably subject to a series of harms brought by network technology. Internet economic crime is a new type of crime based on Internet technology. Criminals use Internet technology to conduct illegal visits and Trojan horse program attacks, steal user information, and defraud victims of money. This has resulted in the people’s personal and property safety and social harmony and stability. Strictly cracking down on cyber economic crimes in accordance with the law is of great significance to safeguarding the interests of the people and maintaining social stability. However, as the methods and forms of cyber economic crimes emerge endlessly, it is very important to collect intelligence information on such crimes. This paper proposes using the sensor technology, embedded system technology, radio frequency automatic identification technology, and cloud computing technology in artificial intelligence Internet of Things technology to design and build a data-mining-based network economic crime intelligent information aggregation collection system to realize network economic crime intelligence of aggregation and analyze and help combat cyber economic crimes. This article takes cyber economic crime cases in various cities in our province as an example, selects 9 cyber economic criminals’ intelligence information as sample data, and tests and applies the designed cyber economic crime intelligence information system. The final results show that the numbers of cyber economic crime cases in four cities A, B, C, and D in four provinces are roughly the same, but city A has the largest number; the minimum confidence of the 9 criminals is above 0.60, indicating that the economic crimes of cyber economic criminals are related to their academic background and family status and criminal history are related to a certain extent; illegal fund-raising fraud and online credit card fraud account for the largest proportion of the four cities and are currently the main forms of online economic crime.
Highlights
Because of the continuous increase in the number of people, the continuous development of the economy and society, and the continuous emergence of social polarization, the probability of social problems is increasing, the rate of economic crime is gradually increasing, and the phenomenon of social unhealthy problems is increasing frequently. Cracking down on such cyber economic crimes in accordance with the law and regulating the order of the market economy are of great significance to maintaining social harmony and stability and ensuring the safety of the people
The economic crimes of illegal fund-raising in city A accounted for 30.47% of the city’s cyber economic crimes, ranking the highest among the four cities, followed by city D with 27%; credit card fraud in city C accounted for 29.89% of the city’s cyber economic crimes, and city A and city B followed closely behind, accounting for 24.31% and 23.48%, respectively; online illegal operations in city B accounted for 30.91% of the city’s cyber economic crimes, and city D accounted for 26.44%; in contrast, the use of the Internet to commit crimes of infringement of intellectual property rights represented fewer types of economic crimes, with city D being the highest, accounting for 25.23%, while city B occupied 19.53%
Due to the virtuality and complexity of the online world, it is very difficult for the public security departments to investigate such cases
Summary
With the help of the IoT technology, through the collection of intelligence information by smart sensors, the mining and processing of intelligence information by data mining technology, and the cluster analysis of intelligence information by information intelligent aggregation technology, intelligence personnel can quickly obtain cyber economic crimes. With the help of the Internet of ings technology, intelligence information is collected through smart sensors, intelligence information is mined and processed through data mining technology, and intelligence information is clustered and analyzed through information intelligence aggregation technology, and intelligence personnel can quickly obtain cyber economic crime information, timely and effectively analyze the first-hand criminal investigation information and related information data, quickly locate criminal information, greatly shorten the criminal investigation time, and improve the efficiency of solving cases.
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