지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 金相福
- 발행연도
- 2019
- 저작권
- 경상대학교 논문은 저작권에 의해 보호받습니다.
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초록· 키워드
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The rapid development of information and communication technology has dramatically increased the number of users based on various networks. The process of sharing information is done through informat -ion services that are generally accessible to the public, although there are various methods. In addition, the information sharing process based on the portal service can promptly reflect various opinions because users can collect opinions on the information in real time. However, this sharing of information based on portal services creates stakeholders for specific service information, and they do not hesitate to illegally conduct social information that is favorable to them. Macro based attacks to gain distorted public opinion and gain illegal profits quickly create distorted public opinion on mutual information, and therefore there is an urgent need for countermeasure -s. Unauthorized users attempting a macro attack quickly obtain a large number of user accounts or different access information in order to manipulate the public opinion, and try to manipulate public opinion on the contents of a specific web page. In this paper, we deal with macro attacks in real time. For this purpose, it is possible to detect multiple accesses of a specific service requester based on traceback information.
In addition, if the access information of the specific accessor and the traceback information of the mutual sharing information occur more than once, it is determined that it is a macro attack. Also, by comparing the access path information of the accessors and the threshold count value, it is possible to cope with macros attacks that can occur collectively in a specific network in real time.
In addition, if the access information of the specific accessor and the traceback information of the mutual sharing information occur more than once, it is determined that it is a macro attack. Also, by comparing the access path information of the accessors and the threshold count value, it is possible to cope with macros attacks that can occur collectively in a specific network in real time.
목차
1. 서 론 32. 관련연구 52.1 매크로의 기능 52.2 OCR의 특징 72.3 CAPTCHA의 기능 82.4 트레이스 백의 개념 103. 제안 모델 설계 114. 실험 및 평가 145. 결론 20참고 문헌 21
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