1. An apparatus for detecting forgery/falsification of a homepage, comprising: one or more modules being configured and executed by a processor using algorithms associated with at least one non-transitory storage device, the one or more modules comprising, a homepage image shot generation module configured to generate homepage image shots of an entire screen of an accessed homepage; a character string extraction module configured to extract character strings from each homepage image shot using an Optical Character Recognition (OCR) technique; a character string comparison module configured to detect whether the extracted character string is a normal character string or a falsified character string for detecting homepage forgery/falsification by comparing each of the extracted character strings with character strings required for determination of homepage forgery/falsification; a homepage falsification determination module configured to determine whether the corresponding homepage has been forged/falsified according to the comparison; and a character string learning module configured to compare the character strings extracted using the homepage image shot, to determine whether newly detected character strings are normal character strings using normality determination reference character strings based on the comparison classify the character strings based on the normal character strings or the falsified character strings according to the determination, register the character strings extracted from the corresponding homepage image shot using the OCR technique upon detection of a normal character string, and assign a weight to a character string repeatedly appearing with respect to the character strings extracted from previous image shots.
1. An apparatus for detecting forgery/falsification of a homepage, comprising: one or more modules being configured and executed by a processor using algorithms associated with at least one non-transitory storage device, the one or more modules comprising, a homepage image shot generation module configured to generate homepage image shots of an entire screen of an accessed homepage; a character string extraction module configured to extract character strings from each homepage image shot using an Optical Character Recognition (OCR) technique; a character string comparison module configured to detect whether the extracted character string is a normal character string or a falsified character string for detecting homepage forgery/falsification by comparing each of the extracted character strings with character strings required for determination of homepage forgery/falsification; a homepage falsification determination module configured to determine whether the corresponding homepage has been forged/falsified according to the comparison; and a character string learning module configured to compare the character strings extracted using the homepage image shot, to determine whether newly detected character strings are normal character strings using normality determination reference character strings based on the comparison classify the character strings based on the normal character strings or the falsified character strings according to the determination, register the character strings extracted from the corresponding homepage image shot using the OCR technique upon detection of a normal character string, and assign a weight to a character string repeatedly appearing with respect to the character strings extracted from previous image shots. 7. The apparatus of claim 1 , wherein the character string learning module is configured to register the character string extracted from the corresponding homepage image shot using the OCR technique upon detection of a falsified character string, and to assign a weight to the registered falsified character string depending on importance levels of character strings defined by the user.