Zobrazeno 1 - 10
of 74
pro vyhledávání: '"SunOh Choi"'
Autor:
Jihyeon Song, Sunoh Choi, Jungtae Kim, Kyungmin Park, Cheolhee Park, Jonghyun Kim, Ikkyun Kim
Publikováno v:
ICT Express, Vol 10, Iss 3, Pp 632-649 (2024)
Implementation of malware detection using Artificial Intelligence (AI) has emerged as a significant research theme to combat evolving various types of malwares. Researchers implement various detection mechanisms using shallow and deep learning models
Externí odkaz:
https://doaj.org/article/28733a9d250d44dab2592bbb15bd8b72
Publikováno v:
ETRI Journal, Vol 43, Iss 3, Pp 549-560 (2021)
Cyberattacks are often difficult to identify with traditional signature‐based detection, because attackers continually find ways to bypass the detection methods. Therefore, researchers have introduced artificial intelligence (AI) technology for cyb
Externí odkaz:
https://doaj.org/article/6aec430ab73046c8960a9106a7b61752
Autor:
Sunoh Choi, Jaehyuk Cho
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12306 (2022)
Owing to their wide application, Internet of Things systems have been the target of malicious attacks. These attacks included DoS, flood, SlowITe, malformed, and brute-force attacks. A dataset that includes these attacks was recently released. Howeve
Externí odkaz:
https://doaj.org/article/61ec3ed90ddf4bd899dfc74cc851c65b
Autor:
Deun Lee, Sunoh Choi
Publikováno v:
Applied Sciences, Vol 12, Iss 13, p 6803 (2022)
In Korea, it is common to read and comment on news stories on portal sites. To influence public opinion, some people write comments repeatedly, some of which are similar to those posted by others. This has become a serious social issue. In our previo
Externí odkaz:
https://doaj.org/article/600e9c3e7246458bb1aa48b33dbc7e19
Publikováno v:
The Journal of Korean Institute of Information Technology. 21:111-120
Autor:
Sunoh Choi
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6429 (2021)
The internet’s rapid growth has resulted in an increase in the number of malicious files. Recently, powershell scripts and Windows portable executable (PE) files have been used in malicious behaviors. To solve these problems, artificial intelligenc
Externí odkaz:
https://doaj.org/article/5da015cc44334ff3b8e898960c70ef6a
Autor:
Sunoh Choi
Publikováno v:
Applied Sciences, Vol 10, Iss 15, p 5173 (2020)
Every day, hundreds of thousands of new malicious files are created. Existing pattern-based antivirus solutions have difficulty detecting these new malicious files. Artificial intelligence (AI)–based malware detection has been proposed to solve the
Externí odkaz:
https://doaj.org/article/f1a268bac1db40b7ad2bc7e183b02931
Publikováno v:
Sensors, Vol 20, Iss 10, p 2893 (2020)
Every day, hundreds of thousands of malicious files are created to exploit zero-day vulnerabilities. Existing pattern-based antivirus solutions face difficulties in coping with such a large number of new malicious files. To solve this problem, artifi
Externí odkaz:
https://doaj.org/article/1dfeb0247ecc4ae2af8be86a611a9ae5
Publikováno v:
ETRI Journal, Vol 43, Iss 3, Pp 549-560 (2021)
Cyberattacks are often difficult to identify with traditional signature‐based detection, because attackers continually find ways to bypass the detection methods. Therefore, researchers have introduced artificial intelligence (AI) technology for cyb
Autor:
Sunoh Choi
Publikováno v:
Electronics; Volume 11; Issue 4; Pages: 569
Nowadays, many Korean users read news from portal sites like Naver and Daum. Users can comment on news articles on such sites, and some try to influence public opinion through their comments. Therefore, news users need to be analyzed. This study prop