Cryptocurrency insurance management system

Abstract

The present invention relates to a cryptocurrency insurance management system which comprises: a risk calculation module for calculating a risk score on the basis of data for cryptocurrency; an insurance premium calculation module for calculating an insurance premium of cryptocurrency insurance based on the risk score; and a smart contract module for setting a claim trigger for claiming an insurance amount, and calculating, in accordance with detection of the claim trigger, a payment amount to be paid to a cryptocurrency insurance subscriber. Therefore, the present invention can be designed to quantify a risk by analyzing cryptocurrency-related data, calculate an appropriate insurance premium for each subscriber on the basis of the quantified risk, and automatically pay an insurance amount through a smart contract when a preset claim condition is satisfied.

Description

Cryptocurrency Insurance Management System

[0001] The present invention relates to a cryptocurrency insurance management system, and more specifically, to a cryptocurrency insurance management system capable of compensating for losses incurred by investors in highly volatile cryptocurrencies.

[0002] Over the past decade, the cryptocurrency market has experienced exponential growth, evolving from a niche investment vehicle into a globally recognized financial asset sector. Bitcoin, Ethereum, and various altcoins, which are projected to have market capitalization exceeding $2 trillion by 2024, hold great appeal for both institutional and retail investors. However, alongside this appeal, the cryptocurrency market harbors inherent risks due to its decentralized nature, high volatility, and vulnerability to cyber threats.

[0003]

[0004] Unlike traditional financial markets, the cryptocurrency market lacks a unified regulatory framework and is not equipped with the general safeguards provided by insurance and consumer protection laws. In the case of traditional investments, insurance policies cover various losses ranging from theft to fluctuations in asset value, providing investors with a certain level of financial stability. However, due to the lack of dedicated insurance products for cryptocurrency investors, there is a problem of insufficient protection against these risks, leaving them exposed to significant financial losses.

[0005] One embodiment of the present invention aims to provide a cryptocurrency insurance management system capable of compensating for losses to investors in highly volatile cryptocurrencies.

[0006] To achieve the above-mentioned purpose, a cryptocurrency insurance management system according to one embodiment of the present invention is characterized by comprising: a risk calculation module that calculates a risk score based on data regarding cryptocurrency; a premium calculation module that calculates a premium for cryptocurrency insurance based on the risk score; and a smart contract module that sets a claim trigger for claiming premiums and calculates a payout amount to be paid to a cryptocurrency insurance subscriber upon detection of the claim trigger.

[0007]

[0008] In addition, the data is characterized by including trading volume, asset volatility, trading frequency, and historical risk factors.

[0009]

[0010] In addition, it is characterized by further including a monitoring module that collects data in real time from data sources including cryptocurrency exchanges and provides the collected data to a risk calculation module.

[0011]

[0012] In addition, the smart contract module is characterized by including a trigger setting unit for setting a claim trigger, which is a condition for claiming insurance; a trigger verification unit for verifying the validity of the claim trigger based on data collected from a data source other than the first data source upon detection of the claim trigger in the first data source among a plurality of data sources; a payment amount calculation unit for calculating a payment amount to be paid to an insurance subscriber; and a payment amount transfer unit for transferring the payment amount to the insurance subscriber's account.

[0013]

[0014] In addition, the smart contract module is characterized by further including an anomaly detection unit that detects abnormal transaction patterns based on data collected from a data source.

[0015]

[0016] In addition, the risk calculation module calculates the risk score (Rs) according to the following [Formula 1], and the premium calculation module calculates the premium (P) according to the following [Formula 2].

[0017] [Formula 1]

[0018]

[0019] [Calculation Formula 2]

[0020]

[0021] According to the present invention, it is possible to compensate investors in cryptocurrencies with very high volatility for the occurrence of losses.

[0022]

[0023] In addition, compensation is available for losses incurred due to cyber security threats or regulatory risks.

[0024]

[0025] In addition, it can provide insurance solutions that adapt to the dynamic and decentralized characteristics of the cryptocurrency market.

[0026] FIG. 1 is a schematic diagram illustrating a cryptocurrency insurance management system according to one embodiment of the present invention.

[0027] FIG. 2 is a schematic diagram illustrating an embodiment of the smart contract module illustrated in FIG. 1.

[0028] FIG. 3 is a schematic diagram illustrating another embodiment of the smart contract module shown in FIG. 2.

[0029] FIG. 4 is a schematic diagram illustrating another embodiment of the cryptocurrency insurance management system illustrated in FIG. 1.

[0030] FIG. 5 is a schematic diagram illustrating an embodiment of the monitoring module illustrated in FIG. 4.

[0031] Throughout the specification, identical reference numbers denote substantially identical components. In the following description, detailed descriptions of components and functions known in the art may be omitted if they are not related to the core components of the invention. The meanings of the terms described in this specification should be understood as follows.

[0032] The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but may be implemented in various different forms. These embodiments are provided merely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims.

[0033] The shapes, sizes, ratios, angles, numbers, etc. disclosed in the drawings for explaining embodiments of the present invention are exemplary, and therefore the present invention is not limited to the depicted details. Throughout the specification, the same reference numerals refer to the same components. Furthermore, in describing the present invention, if it is determined that a detailed description of related known technology may unnecessarily obscure the essence of the present invention, such detailed description is omitted.

[0034] Where terms such as 'comprising,' 'having,' 'consisting of,' etc. are used in this specification, other parts may be added unless 'only' is used. Where a component is expressed in the singular, it includes cases where it is included in the plural unless specifically stated otherwise.

[0035] In interpreting the components, they are interpreted to include a margin of error even in the absence of a separate explicit statement.

[0036] In the case of describing a positional relationship, for example, when the positional relationship between two parts is described using expressions such as 'on,' 'upper,' 'lower,' or 'next to,' one or more other parts may be located between the two parts unless 'immediately' or 'directly' is used.

[0037] In the case of an explanation of a temporal relationship, for example, when a temporal sequence is explained using 'after', 'following', 'next', 'before', etc., it may include cases where the sequence is not continuous unless 'immediately' or 'directly' is used.

[0038] Although terms such as "first," "second," etc. are used to describe various components, these components are not limited by these terms. These terms are used merely to distinguish one component from another. Accordingly, the first component mentioned below may be the second component within the technical scope of the present invention.

[0039] "X-axis direction," "Y-axis direction," and "Z-axis direction" should not be interpreted solely as geometric relationships in which the relationship between them is perpendicular, but may mean having a broader directionality within the range in which the configuration of the present invention can function functionally.

[0040] The term “at least one” should be understood to include all combinations that can be presented from one or more related items. For example, the meaning of “at least one of the first item, the second item and the third item” may mean not only the first item, the second item or the third item individually, but also all combinations of items that can be presented from two or more of the first item, the second item and the third item.

[0041] The features of each of the various embodiments of the present invention may be combined or combined with one another, either partially or wholly, and may technically enable various interlocking and operation. Each embodiment may be implemented independently of one another or may be implemented together in an associated relationship.

[0042]

[0043] A cryptocurrency insurance management system (1) according to one embodiment of the present invention will be described below with reference to the drawings.

[0044] FIG. 1 is a schematic diagram illustrating a cryptocurrency insurance management system (1) according to one embodiment of the present invention, FIG. 2 is a schematic diagram illustrating one embodiment of a smart contract module (30) illustrated in FIG. 1, FIG. 3 is a schematic diagram illustrating another embodiment of a smart contract module (30) illustrated in FIG. 2, and FIG. 4 is a schematic diagram illustrating another embodiment of a cryptocurrency insurance management system (1) illustrated in FIG. 1.

[0045] Referring to FIGS. 1 to 3, a cryptocurrency insurance management system (1) according to one embodiment of the present invention includes a risk calculation module (10), an insurance premium calculation module (20), and a smart contract module (30).

[0046]

[0047] The risk calculation module (10) calculates a risk score based on data regarding cryptocurrency. The premium calculation module (20) calculates the premium for cryptocurrency insurance based on the risk score. The smart contract module (30) sets a claim trigger for claiming the premium. Additionally, the smart contract module (30) calculates the payout amount to be paid to the cryptocurrency insurance subscriber based on the detection of the claim trigger. Here, the data may include trading volume, asset volatility, trading frequency, and historical risk factors. Additionally, the data may include the price of the cryptocurrency, etc. The data may be provided from a data source (2). The data source (2) includes multiple cryptocurrency exchanges. Additionally, the data source (2) may be a server (oracle system) capable of obtaining various data related to cryptocurrency through blockchain analysis.

[0048]

[0049] Additionally, the smart contract module (30) can verify the validity of the claim trigger. If the validity of the claim trigger is verified, the smart contract module (30) can automatically transfer the calculated payment amount to the insured. After transferring the payment amount, the smart contract module (30) can record information regarding the occurrence of the claim trigger, verification of the claim trigger, calculation of the payment amount, and transfer of the payment amount in cryptocurrency (the ledger of the blockchain). A detailed explanation of this will be provided later.

[0050]

[0051] In one embodiment, the risk calculation module (10) can calculate the risk score (Rs) according to the following [Calculation Formula 1].

[0052] [Formula 1]

[0053]

[0054] Here, α, β, γ, and δ are weights assigned to each variable (Tv, Av, F, and Hr) based on their impact on risk. Tv is the total trading volume of the subscriber during a specific period. Av is the volatility of assets held, calculated based on historical price volatility. F is the trading frequency reflecting the subscriber's trading activity. Hr is a historical risk factor derived from the subscriber's past behavior and previous claims.

[0055]

[0056] The insurance premium calculation module (20) can calculate the insurance premium (P) according to the following [calculation formula 2].

[0057] [Calculation Formula 2]

[0058]

[0059] Here, Pb is the base premium, representing the minimum premium for coverage. M is the risk multiplier that adjusts the premium sensitivity based on the risk score. Rs is the subscriber's risk score.

[0060]

[0061] Referring to FIGS. 3 and 4, a cryptocurrency management system (1) according to one embodiment of the present invention may further include a monitoring module (40) and a learning module (not shown). The monitoring module (40) collects data in real time from a data source (2). The monitoring module (40) may provide the collected data to a risk calculation module (10) and a learning module (not shown).

[0062]

[0063] The risk calculation module (10) can adjust the risk score based on real-time data provided by the monitoring module (40). Additionally, the premium calculation module (20) can adjust the premium based on the risk score adjusted by the risk calculation module (10). Thus, an appropriate premium can be calculated in response to market changes.

[0064]

[0065] The learning module can adjust weights (α, β, γ, and δ) based on data provided by the monitoring module (40). The weights (α, β, γ, and δ) reflect the relative importance of each variable (Tv, Av, F, and Hr). For example, if asset volatility (Av) has a significant impact on the risk score (Rs), a higher value may be assigned to β. The learning module can periodically adjust the weights (α, β, γ, and δ) by reinforcing the real-time data. Thus, it can adapt to market changes and subscriber behavior.

[0066]

[0067] Additionally, the learning module can adjust the risk multiplier (M) based on data provided by the monitoring module (40). The risk multiplier (M) adjusts the premium sensitivity according to the risk score (Rs). The learning module can periodically adjust the risk multiplier (M) by reinforcing the real-time data. Thus, by adapting to market changes and subscriber behavior, it is possible to calculate an appropriate premium based on the subscriber and market changes.

[0068]

[0069] FIG. 5 is a schematic diagram illustrating one embodiment of the monitoring module (40) shown in FIG. 4.

[0070] Referring to FIGS. 4 and 5, the monitoring module (40) may include a data verification unit (400) and a data recording unit (410). The data verification unit (400) can verify the validity of the data by comparing data collected from one of the multiple data sources (2) with data collected from another of the multiple data sources (2). The validity of the data may include the identity or similarity of the data. For example, if a decrease in price collected from one of the multiple data sources (2) is identical to or falls within a similar range to a decrease in price collected from another of the multiple data sources (2), the data may be determined to be valid. It may also be determined to be identical in terms of the occurrence, decrease, increase, etc. of the data.

[0071]

[0072] The monitoring module (40) can provide data verified by the data verification unit (400) to the risk calculation module (10), learning module (not shown), smart contract module (30), etc. The data recording unit (410) can record the data verified by the data verification unit (400) in cryptocurrency (blockchain). That is, the data recording unit (410) can encrypt the verified data and store it in a distributed ledger. By doing so, the privacy and integrity of sensitive information can be maintained. In addition, subscribers can be protected from sudden losses caused by volatility, cyberattacks, or regulatory measures by responding quickly to market events.

[0073]

[0074] The smart contract module (30) may include a trigger setting unit (300), a trigger verification unit (310), a payment amount calculation unit (310), a payment amount transfer unit (330), a contract record unit (340), an anomaly detection unit (350), and a trigger detection unit (360). The trigger setting unit (300) may set a claim trigger, which is a condition for claiming insurance. For example, the claim trigger may include a 20% drop in the market (price) or a hacking incident. The claim trigger may be detected through the trigger detection unit (360).

[0075]

[0076] The trigger verification unit (310) can verify the validity of a claim trigger based on data collected from other data sources (2) other than the first data source (2) upon detection of a claim trigger in the first data source (2) among the plurality of data sources (2). The trigger verification unit (310) can verify the validity of a claim trigger by comparing the data collected from the plurality of data sources (2) with one another. The validity of a claim trigger may include the identity or similarity of the claim trigger. For example, if a claim trigger collected from one of the plurality of data sources (2) is identical to a claim trigger collected from another, the claim trigger may be determined to be valid. By doing so, the validity of the claim trigger event can be verified, thereby preventing incorrect billing.

[0077]

[0078] The payment amount calculation unit (320) calculates the payment amount to be paid to the insurance subscriber. The payment amount transfer unit (330) can automatically transfer the payment amount to the insurance subscriber's account.

[0079] The payment amount calculation unit (320) can calculate the payment amount (C) according to the following [calculation formula 3].

[0080]

[0081] [Calculation Formula 3]

[0082]

[0083] Here, Ct is the total guaranteed amount defined in the policy. Rc is the coverage ratio representing the proportion of the guaranteed amount the subscriber can claim. Fp is a payout factor adjusted according to the characteristics of the loss event.

[0084]

[0085] The contract record book (340) can record the establishment of a contract, the setting of a claim trigger, the detection of a claim trigger, the verification of a claim trigger, the payment amount, and the transfer facts in cryptocurrency (blockchain). By doing so, an immutable and transparent record of the contract or claim can be created.

[0086]

[0087] The anomaly detection unit (350) can detect abnormal transaction patterns based on data collected from the data source (2). When the anomaly detection unit (350) detects an abnormal transaction pattern, it can flag the abnormal transaction pattern. When an abnormal transaction pattern is detected, the trigger verification unit (310) can collect additional data and perform additional verification before the billing trigger is processed. For example, an abnormal transaction pattern may include sudden large-scale transactions. Additionally, an abnormal transaction pattern may include multiple billings from the same subscriber within a short period. Thus, malicious billing manipulation can be prevented. This corresponds to a fraud prevention mechanism.

[0088]

[0089] The anomaly detection unit (350) can calculate an anomaly score (As) according to the following [Calculation Formula 4]. If the anomaly score (As) corresponds to a pre-set anomaly score (As) or range, the anomaly detection unit (350) can calculate it as a potential fraud. Accordingly, verification of additional claim triggers can be performed.

[0090]

[0091] [Calculation Formula 4]

[0092]

[0093] Here, Tv is the transaction volume of current subscribers. is the transaction volume of the past average subscriber. F is the transaction frequency of the current subscriber. is the average transaction frequency of past subscribers.

[0094] The abnormal score (As) is calculated by comparing a subscriber's current transaction volume and transaction frequency with the historical average.

[0095]

[0096] The trigger detection unit (360) applies a volatility threshold to the claim trigger. The trigger detection unit (360) can detect a claim trigger that exceeds the volatility threshold. The volatility threshold represents the minimum level of market volatility required to trigger a claim. The trigger detection unit (360) can calculate the volatility threshold (Vt) by the following [Calculation Formula 5].

[0097]

[0098] [Calculation Formula 5]

[0099]

[0100] Here, σp is the standard deviation of asset prices over a specific period, measuring historical volatility. Mv is a volatility multiple that adjusts the sensitivity of the claim trigger.

[0101] The Volatility Threshold (Vt) is calculated using the Volatility Multiple (Mv), which is adjusted based on the asset's historical volatility. This ensures that claims are not triggered by minor fluctuations.

[0102]

[0103] Although the invention made by the inventors has been specifically described according to the above embodiments, the present invention is not limited to the above embodiments and can be modified in various ways without departing from the gist thereof.

Claims

1. A risk calculation module that calculates a risk score based on data regarding cryptocurrency; An insurance premium calculation module that calculates the premium of cryptocurrency insurance based on a risk score; and A cryptocurrency insurance management system comprising a smart contract module that sets a claim trigger for insurance premium claims and calculates a payout amount to be paid to a cryptocurrency insurance subscriber based on the detection of the claim trigger.

2. In Paragraph 1, The data is a cryptocurrency insurance management system including trading volume, asset volatility, trading frequency, and historical risk factors.

3. In Paragraph 2, A cryptocurrency insurance management system further comprising a monitoring module that collects data in real time from data sources including cryptocurrency exchanges and provides the collected data to a risk calculation module.

4. In Paragraph 3, The smart contract module is, A trigger setting unit that sets a claim trigger, which is a condition for claiming insurance; A trigger verification unit that verifies the validity of a claim trigger based on data collected from a data source other than the first data source, upon detection of a claim trigger in the first data source among multiple data sources; A payment calculation unit that calculates the payment amount to be paid to an insurance subscriber; and A cryptocurrency insurance management system including a payment transfer unit that transfers the payment amount to the insured's account.

5. In Paragraph 4, The smart contract module is, A cryptocurrency insurance management system further comprising an anomaly detection unit that detects abnormal transaction patterns based on data collected from a data source.

6. In Paragraph 2, The risk calculation module calculates the risk score (Rs) according to the following [Formula 1], and The premium calculation module is a cryptocurrency insurance management system that calculates the premium (P) according to the following [Calculation Formula 2]. [Formula 1] Here, α, β, γ, and δ are weights assigned to each variable (Tv, Av, F, and Hr) based on their impact on risk. Tv is the total trading volume of the subscriber during a specific period. Av is the volatility of assets held, calculated based on historical price volatility. F is the trading frequency reflecting the subscriber's trading activity. Hr is a historical risk factor derived from the subscriber's past behavior and previous claims. [Calculation Formula 2] Here, Pb is the base premium, representing the minimum premium for coverage. M is the risk multiplier that adjusts the premium sensitivity based on the risk score. Rs is the subscriber's risk score.

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