Abstract
A model for detecting unauthorized Apps use events by combined analysis of situation information in an offline service and user behavior in an online environment is proposed. The detection and response to abnormal behavior in the O2O service environment can be focused on providers, whose decisions change dynamically based on the offline market status and conditions. However, the method for identifying the user’s tools and detecting the usage pattern of the service user were developed in the existing online service environment. Thus, in order to identify abnormal behavior in the O2O service environment, we conducted an experiment to identify the abnormal behavior of providers of smart mobility services, a representative O2O service. In the experiment, the range of normal behavior of a taxi drivers was identified, which was prepared on the basis of the test result directly executed by an expert. The optimal features were selected in order to effectively detect abnormal behavior from the event data relating to the service call acceptance behavior. In addition, by processing the collected data based on the selected features by using various machine-learning classification algorithms, we derived a detection and prediction model that is 98.28% accurate with a prediction result of more than 74% based on the F1 score. Based on these results, we expect to be able to respond to abnormal behavior that may occur in various types of O2O services.
Highlights
As the service connection environment between providers and users is moving from offline to online, the online to offline (O2O) service market has grown rapidly
The Mobility as a Service (MaaS) market is projected to grow at a Compound Annual Growth Rate (CAGR) of
The current mobility service market is characterized by many conflicts in the taxi-hailing service market, because of the decrease in income resulting from competition among various shared mobility services [4,5]
Summary
As the service connection environment between providers and users is moving from offline to online, the online to offline (O2O) service market has grown rapidly. The convergence of smart devices and transportation services as on-demand ride services with a high degree of freedom among the mobility services that we use in our daily lives is exemplified by the taxi-hailing service This service is an on-demand ride service in the O2O market, and the service environment has been changed rapidly by the companies that provide the taxi-hailing service platform. The typical taxi calling service by way of phone calls has been useful to connect passengers with a taxi driver, but it is evolving into a taxi-hailing service using smartphone applications This change has shifted from a business, in which taxi drivers increasingly drive around to search for passengers, to an “on-call” business in which the taxi moves to the location of departure in response to calls from passengers.
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