Title:
MALICIOUS CODE DETECTION METHOD USING BIG DATA
Document Type and Number:
WIPO Patent Application WO/2019/103368
Kind Code:
A1
Abstract:
According to a malicious code detection method using big data, proposed by the present invention, pattern data extracted from an APK file to be inspected is compared with previously collected large-scale malicious code pattern data. As a result of the comparison, when multiple pieces of pattern data having been used in an existing malicious code are found, it is determined that the APK file includes a malicious code. Therefore, the present invention can determine, using a huge database in a short time, whether a malicious code exists or not, detect a malicious code without even exact matching of character strings, and detect a malicious code even for an application to which an Android security technique is applied.
Inventors:
CHOI YUN YOUNG (KR)
KIM TAE WOONG (KR)
JEONG WON JUN (KR)
KIM TAE WOONG (KR)
JEONG WON JUN (KR)
Application Number:
PCT/KR2018/013609
Publication Date:
May 31, 2019
Filing Date:
November 09, 2018
Export Citation:
Assignee:
NSHC INC (KR)
International Classes:
G06F21/56; G06F16/00
Foreign References:
| KR101628837B1 | 2016-06-10 | |||
| KR20150044490A | 2015-04-27 | |||
| KR101508577B1 | 2015-04-07 | |||
| KR20120071817A | 2012-07-03 | |||
| KR20150099132A | 2015-08-31 |
Attorney, Agent or Firm:
KIM, Keon Woo (KR)
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