• Convergence Security Journal
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• v.18 no.5_1
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• pp.113-120
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• 2018

Today, the development of information and communication technology is rapidly increasing the number of users of network-based service, and enables real-time information sharing among users on the Internet. There are various methods in the information sharing process, and information sharing based on portal service is generally used. However, the process of information sharing serves as a cause of illegal activities in order to amplify the social interest of the relevant stakeholders. Public opinion attack using macro function can distort normal public opinion, so security measures are urgent. Therefore, security measures are urgently needed. Macro attacks are generally defined as attacks in which illegal users acquire multiple IP or ID to manipulate public opinion on the content of a particular web page. In this paper, we analyze network path information based on traceback for macro attack of a specific user, and then detect multiple access of the user. This is a macro attack when the access path information for a specific web page and the user information are matched more than once. In addition, when multiple ID is accessed for a specific web page in the same region, it is not possible to distort the overall public opinion on a specific web page by analyzing the threshold count value.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.5
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• pp.1179-1195
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• 2018

Recently, a variety of attacks on web services have been occurring through a multiple access environment such as PC, tablet, and smartphone. These attacks are causing various subsequent damages such as online fraud transactions, takeovers and theft of accounts, fraudulent logins, and information leakage through web service vulnerabilities. Creating a new fake account for Fraud attacks, hijacking accounts, and bypassing IP while using other usernames or email addresses is a relatively easy attack method, but it is not easy to detect and block these attacks. In this paper, we have studied a method to detect online fraud transaction and obsession by identifying and managing devices accessing web service using web-based device fingerprinting. In particular, it has been proposed to identify devices and to manage them by scoring process. In order to secure the validity of the proposed scheme, we analyzed the application cases and proved that they can effectively defend against various attacks because they actively cope with online fraud and obtain visibility of user accounts.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.4
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• pp.1025-1036
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• 2016

The conversion of the international standard web utilization HTML5 technology is being developed for improvement of the internet environment based on nonstandard technology like ActiveX. Hyper Text Markup Language 5 (HTML5) of basic programming language for creating a web page is designed to consider the security more than HTML4. However, the range of attacks increased and a variety of security threats generated from HTML4 environment inherited by new HTML5 API. In this paper, we focus on the script-based attack such as CSRF (Cross-Site Request Forgery), Cookie Sniffing, and HTML5 API such as CORS (Cross-Origin Resource Sharing), Geolocation API related with the infringement of the personal information. We reproduced the infringement cases actually and embodied a detection module of a Plug-in type diagnosed based on client. The scanner allows it to detect and respond to the vulnerability of HTML5 previously, thereby self-diagnosing the reliability of HTML5-based web applications or web pages. In a case of a new vulnerability, it also easy to enlarge by adding another detection module.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.6
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• pp.1105-1114
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• 2021

Due to the recent surge in popularity of cryptocurrency, the threat of cryptojacking, a malicious code for mining cryptocurrencies, is increasing. In particular, web-based cryptojacking is easy to attack because the victim can mine cryptocurrencies using the victim's PC resources just by accessing the website and simply adding mining scripts. The cryptojacking attack causes poor performance and malfunction. It can also cause hardware failure due to overheating and aging caused by mining. Cryptojacking is difficult for victims to recognize the damage, so research is needed to efficiently detect and block cryptojacking. In this work, we take representative distinct symptoms of cryptojacking as an indicator and propose a new architecture. We utilized the K-Nearst Neighbors(KNN) model, which trained computer performance indicators as behavior-based dynamic analysis techniques. In addition, a K-means model, which trained the frequency of malicious script words for script similarity-based static analysis techniques, was utilized. The KNN model had 99.6% accuracy, and the K-means model had a silhouette coefficient of 0.61 for normal clusters.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.4
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• pp.963-974
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• 2018

With the growing interest in cryptocurrency such as bitcoin, the blockchain technology has attracted much attention in various applications as a distributed security platform with excellent security. However, Cryptojacking, an attack that hijack other computer resources such as CPUs, has occured due to vulnerability to the Cryptomining process. In particular, browser-based Cryptojacking is considered serious because attacks can occur only by visiting a Web site without installing it on a visitor's PC. The current Cryptojacking detection system is mostly signature-based. Signature-based detection methods have problems in that they can not detect a new Cryptomining code or a modification of existing Cryptomining code. In this paper, we propose a Cryptojacking detection solution using a dynamic analysis-based that uses a headless browser to detect unknown Cryptojacking attacks. The proposed dynamic analysis-based Cryptojacking detection system can detect new Cryptojacking site that cannot be detected in existing signature-based Cryptojacking detection system and can detect it even if it is called or obfuscated by bypassing Cryptomining code.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.75-78
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• 2007

인터넷 사용의 대중화에는 웹 서비스의 힘이 컸다고 할 수 있다 지금까지도 웹 기반의 서비스가 점차 확대되고 있고 이에 따라 웹 공격과 웹 보안이 이슈가 되고 있다. 웹 서비스를 이용하는 어플리케이션은 기존 보안도구를 통한 분석 작업과 모니터링에 관리자의 개입이 많이 요구되었고, 자동화된 방법 중의 하나인 로그를 이용한 분석 방법들은 실시간으로 확인하고 대응 할 수 없는 단점이 있다. 본 논문에서는 기존의 웹 공격 탐지 방법과 시각화 방법들의 개선사항들을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10c
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• pp.511-514
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• 2006

비정상행위 탐지를 위한 프로파일 기술은 침임탐지시스템의 성능 향상을 위한 핵심기술로서, 높은 공격 탐지율과 침입탐지시스템의 수행 시간 단축을 위해 반드시 요구되는 기술이다. 최근 인터넷의 보급과 활성화로 웹 어플리케이션 보안을 위한 연구가 활발히 진행되고 있으나, 웹 애플리케이션의 개발 언어와 공격 특성을 반영하지 못해 그 효율성이 저하되고 있다. 본 논문에서는 웹 공격 탐지를 위해 연구 되었던 서열정렬 알고리즘을 이용한 웹 공격 탐지의 성능 개선을 위하여 웹 애플리케이션 개발에 주로 사용되는 스크립트파일을 기반으로 한 프로파일 방법을 제안하고 실험 결과를 기술하였다.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2006.06a
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• pp.637-640
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• 2006

본 논문에서는 HTTP 요청, 응답 헤더정보 분석을 통해, 실시간으로 웹 공격을 탐지하는 시각화도구를 제안한다. 공격 탐지기법은 이상, 오용 탐지 기법을 통합한 방식이다. 이상 탐지는 헤더정보의 Refer와 Uri 필드를 이용한 베이지언 분포를 통한 확률 값을 이용하였으며, 오용탐지는 Snort의 공격 시그너쳐의 웹 공격부분을 사용하였다. 공격 탐지 정보의 효율적인 전달을 위해, 시각화를 GUI로 구현하였다. 본 논문에서는 사용자 에이전트의 비정상 행위 감시, 빈도 분석, 공격 에이전트 위치추적을 실시간으로 시각화하여 표현하는 기법을 제안한다.

• Journal of the Korea Society of Computer and Information
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• v.8 no.3
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• pp.124-129
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• 2003

Recently, on the internet, we need the protection methods of digital contents. To Protect web contents, we inserted a visible watermark but it could be removed easily and covered some place of original contents. In this paper, we proposed a logo detection algorithm that it insert an invisible logo watermark and extract after attacks. Previous works, it didn't show clearly. Experimental results show that it can be extracted all logo images after an attack. And it is proved that proposed scheme is an appropriate algorithm.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.296-299
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• 2018

웹 3.0 시대를 맞으면서 인터넷과 PC의 발전은 웹 서비스 이용을 대폭 증가시켰고, 이러한 웹 환경에서 이용자가 인증 절차를 거치지 않고 임의로 접속하는 공격을 방어하기 위한 정보보호 대책이 중요하다. 쿠키는 웹사이트에 접속 시 웹 서버가 한번 발행하면 이후 이용자의 웹페이지 이동마다 인증 절차를 거쳐야 하는 번거로움을 간단하게 하는 편리한 수단이다. 그러나 공격자가 쿠키를 스니핑하여 웹페이지를 새로 고침 하는 공격으로 인증 절차를 우회하여 정상 이용자로 가장하는 위험이 있다. 본 논문은 이용자의 정상 로그인 시의 쿠키 등을 해시 함수로 암호화한 값을 데이터베이스에 저장하였다가 쿠키 재전송 공격이 의심되는 이벤트가 발생하면 현재 웹브라우저의 쿠키 등을 해시 함수로 암호화한 값과 서로 비교함으로써 쿠키 재전송 공격을 탐지하는 기법을 제안한다.