Method and apparatus for automatically identifying a fraudulent order

An apparatus for automatically identifying a fraudulent order, comprising:

• a model training unit which comprises:
• an offline characteristic extracting subunit configured to take history orders, which have been recognized as fraudulent or not, as training samples, and to extract characteristics from respective history orders to provide respective characteristic vectors for the history orders;
• and
• a model training subunit configured to train an order identifying model using the characteristic vectors for respective history orders;
• and
• an order identifying unit which comprises:
• an online characteristic extracting subunit configured to extract characteristics from an order to be identified to provide a characteristic vector for the order to be identified;
• and
• an order identifying subunit configured to input the characteristic vector for the order to be identified into the order identifying model to obtain therefrom a result of whether the order to be identified is fraudulent or not.

A computer-readable medium comprising computer readable instructions for training model and identifying order;

• the computer readable instructions for training model comprising:
• taking history orders, which have been determined as fraudulent or not, as training samples, and extracting characteristics from respective history orders to provide respective characteristic vectors for the history orders;
• and training an order identifying model using the characteristic vectors for respective history orders;
• the computer readable instructions for identifying order comprising:
• extracting characteristics from an order to be identified to provide a characteristic vector for the order to be identified, and inputting the characteristic vector for the order to be identified into the order identifying model to obtain therefrom a result of whether the order to be identified is fraudulent or not.