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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 대한전자공학회 ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications ITC-CSCC : 2008
- 발행연도
- 2008.7
- 수록면
- 961 - 964 (4page)
이용수
초록· 키워드
오류제보하기
In recent years, email traffic has increased in the Internet. However, as the usage of emails has increased dramatically, the amount of spam traffic has increased tremendously too. There are many filters for spam detection and prevention, but most of them are not sufficiently efficient or accurate for use in practical filtering systems. To enhance the efficiency and accuracy of spam filtering, we first need to characterize and analyze the spam traffic. To accomplish this, we first collected spam traffic by capturing the email traffic on the backbone network of Sungkyunkwan University over a period of 24 hours and then classifying it into several categories using various approach levels in order to discover the characteristics and patterns within it. This study forms the basis for research into efficient and accurate spam filtering techniques.
목차
Abstract
1. Introduction
2. Related Work
3. Traffic Measurement
4. Email Workload
5. Email Traffic Characterization
6. Discussion
7. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2013-569-001140920