Abstract:
PURPOSE: A face recognition system and method are provided to extract a local feature point for expressing information of input face image. CONSTITUTION: A face recognition system comprises: a learning feature vector extractor(100) for extracting a feature vector and learning weight factor with respect to a normalized face learning image; a test feature vector extractor(200) for extracting a feature vector and learning weight factor with respect to a normalized face image; a final weight extractor(300) for extracting final weight factor of each area; and a local feature vector comparator(400) for comparing similarity of the final weight factor and local feature vector.
Abstract:
PURPOSE: A data table generating device of forensic data and a method thereof are provided to generate a data table of a standardized format from raw data which is collected from a portable forensic tool or a live data forensic tool. CONSTITUTION: A data parsing unit(110) parses raw data having respectively different format and generates a first data table having a standardized type. A data filtering/collecting unit(120) generates a second data table. A data relation analyzing unit(130) analyzes a relation between data from the first data table and generates a third data table.
Abstract:
PURPOSE: A sub channel analyzing device is provided to measure an electromagnetic wave which is highly related to a security operation for sub channel analysis. CONSTITUTION: A waveform measurement unit(120) measures a power signal of an analysis board(140). An electromagnetic wave measurement unit(130) measures an electromagnetic wave signal of the analysis board. An analysis unit(110) analyzes a sub channel using the measured electromagnetic wave signal. The electromagnetic wave measurement unit obtains an electromagnetic wave signal which is scanned by the analysis board. The electromagnetic wave measurement unit measures the electromagnetic wave signal at a point where the scanned electromagnetic wave signal is highly related to the power signal.
Abstract:
PURPOSE: An anonymous authentication service method is provided to produce an expanded service like an anonymous payment service, etc by providing linkability to a global domain including a plurality of service providing domains. CONSTITUTION: An anonymous authentication service method includes a SetUp process(S200) and a service user joining process(S202). The anonymous authentication service includes a service provider joining process(S204) and a global region connector joining process(S206). The anonymous authentication service includes a group signature signing process(S208) and a group signature verification process(S210). The anonymous authentication service includes a service user tracking process(S212) and an anonymous ID opening process(S214). The anonymous authentication service includes a local-linking process(S216) and a local virtual index or signature information receiving process(S218). The anonymous authentication service includes a global virtual index acquisition process(S220) and a global connection process(S222).
Abstract:
PURPOSE: A waveform noise eliminating method using a noise model for sub channel analysis and a sub channel analyzing device using the same are provided to guarantee objectivity of an analysis result using a noise model for sub channel analysis. CONSTITUTION: A database is built for a noise pattern of noises in which waveform data are generated(S410). Waveform data are collected from an external waveform collecting device. A noise mode to be applied to the waveform data is selected in a database for the noise pattern(S423). A noise is eliminated by applying the selected noise model to the collected waveform data(S430).