Electronics and Telecommunications Research Institute

Hyung Geun Oh

Do Hoon Lee

Geun Yong Kim

Kiwook Sohn

Eun Young Lee

Myeong Ryeol Choi

Taek Kyu Lee

Seok Won Lee

In Sung Park

Ki Wook Sohn

Tae Ghyoon Kim

Young Han Choi

Seung Hyun Paek

Joo Beom Yun

SoonJwa Hong

In Sook Jang

KyuCheol Jung

Geunyong Kim

NamHoon Lee

Seokwon Lee

TaekKyu Lee

Disclosed herein is an Intrusion Detection System (IDS) false positive detection apparatus and method. An IDS false positive detection apparatus includes a payload extraction unit for extracting payloads by dividing each packet corresponding to an IDS detection rule into a header and a payload. A false positive payload information generation unit generates false positive payload information required to identify a false positive payload by extracting a payload of a false positive packet based on results of packet analysis received from a manager. A false positive payload determination unit transmits results of a determination of whether each payload extracted by the payload extraction unit corresponds to a false positive payload, based on the false positive payload information, to the manager.

Intrusion detection system false positive detection apparatus and method

An apparatus and method for detecting forgery/falsification of a homepage. The apparatus includes a homepage image shot generation module for generating homepage image shots of an entire screen of an accessed homepage. A character string extraction module extracts character strings from each homepage image shot using an OCR technique. A character string comparison module compares each of the extracted character strings with character strings required for determination of homepage forgery/falsification, thus determining whether the extracted character string is a normal character string or a falsified character string. A homepage falsification determination module determines whether the corresponding homepage has been forged/falsified, based on results of the comparison. A character string learning module learns the character string extracted from the homepage image shot, based on results of the determination, and classifies the character string as the normal character string or the falsified character string.

Apparatus and method for detecting forgery/falsification of homepage

An apparatus for improving detection performance of an intrusion detection system includes a transformed detected data generation unit for changing original detected data, detected based on current detection rules, to transformed detected data complying with transformed detected data standard. A transformed detected data classification unit classifies the transformed detected data by attack type, classifies transformed detected data for attack types by current detection rule, and classifies transformed detected data for detection rules into true positives/false positives. A transformed keyword tree generation unit generates a true positive transformed keyword tree and a false positive transformed keyword tree. A true positive path identification unit generates a true positive node, and identifies a true positive path connecting a base node to the true positive node in the true positive transformed keyword tree. A true positive detection pattern generation unit generates a true positive detection pattern based on the true positive path.

Apparatus and method for improving detection performance of intrusion detection system

An apparatus and method for preventing an anomaly of an application program are provided. More particularly, an apparatus and method for preventing an anomaly of an application program that detect and stop an anomaly on the basis of a behavior profile for an application program are provided. The apparatus includes a behavior monitor that detects behavior of an application program in operation, an anomaly detector that determines whether the detected behavior of the application program is an anomaly on the basis of a behavior profile of the application program in operation, and an anomaly stopper that stops the behavior of the application program determined as an anomaly by the anomaly detector. Possible application program behavior is stored according to its purpose in a behavior profile and an anomaly is detected and stopped on the basis of the behavior profile, thereby decreasing a false-positive rate of anomaly detection and simultaneously solving a problem of a conventional security programs being incapable of defending against attacks using the authority of a program trusted by a user.

Apparatus and method for preventing anomaly of application program

Provided are a system and method for predicting a cyber threat. The system and method collect various variables and synthetically predict the frequency, dangerousness, possibility, and time of the occurrence of a cyber threat including hacking, a worm/virus, a Denial of Service (DoS) attack, illegal system access, a malicious code, a social engineering attack, system/data falsification, cyber terror/war, weakness exploitation, etc., using a time-series analysis method and a Delphi method, and inform a user in advance of the prediction result, thereby enabling the user to prepare against the cyber threat.

System and method for predicting cyber threat

A method and apparatus for digital forensics are provided. The apparatus for digital forensics includes a page file extractor for extracting a page file stored in a target storage medium, a stored-page feature extractor for extracting features of pages stored in the extracted page file, a page classifier for comparing the extracted features of the pages with at least one predetermined classification criterion and classifying the pages according to the comparison results, and a digital forensics unit for performing digital forensics according to the classified pages. According to the method and apparatus, it is possible to perform digital forensics using only information of a page file.

Method and apparatus for digital forensics

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Daejeon, South Korea

Hyung Geun Oh