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
- 학술저널
- 저자정보
- 발행연도
- 2015.1
- 수록면
- 375 - 390 (16page)
이용수
초록· 키워드
오류제보하기
Any malicious attack on the database systems performed by an entrusted group of peoplehaving authorized access is called database insider attack. Even though the insider attack has beenlively researched, it is still far from the practical application. We propose a new approach to improvethe limitations in the previous researches. This approach has four objectives: (1) Multi-PreprocessingAlgorithms to observe a query in multiple perspectives (2) Query Probabilities Based Database InsiderMonitoring Methodology based upon Markov Mathematical Model to record insider’s behavioralpatterns with query and query transition probabilities (3) Query Probabilities Time Series Graph tocreate metrics to monitor the insider’s behavior in order to predict insider attack, and (4) Multi-CriteriaQuery Probabilities Based Insider Attack Monitoring System containing the (1)–(3). The results fromthe evaluation show that the proposed system overcomes the limitations and is also capable to monitorinsider’s behavioral data while the database is being updated.
목차
등록된 정보가 없습니다.
참고문헌 (18)
참고문헌 신청
Abramova, V. / 2013 / NoSQL databases:MongoDB vs Cassandra / Proceedings of the International C* Conference on Computer Science and Software Engineering (C3S2E 2013) : 14 ~ 22
Chagarlamudi, M. / 2009 / Insider Threat in Database Systems: Preventing Malicious Users’ Activities in Databases / Proceedings of 2009Sixth International Conference on Informatio
Doss, G. / 2009 / Developing insider attack detection model: A grounded approach / Proceedings of IEEE International Conference on Intelligence and Security Information (ISI 2009)
Greitzer, F. / 2011 / Modeling Human Behavior to Anticipate Insider Attacks / Journal of Strategic Security 4 (2) : 25 ~ 48
Kamra, A. / 2008 / Detecting anomalous access patterns in relational databases / The VLDB Journal 17 : 1063 ~ 1077
Chagarlamudi, M. / 2009 / Insider Threat in Database Systems: Preventing Malicious Users’ Activities in Databases / Proceedings of 2009Sixth International Conference on Informatio
Doss, G. / 2009 / Developing insider attack detection model: A grounded approach / Proceedings of IEEE International Conference on Intelligence and Security Information (ISI 2009)
Greitzer, F. / 2011 / Modeling Human Behavior to Anticipate Insider Attacks / Journal of Strategic Security 4 (2) : 25 ~ 48
Kamra, A. / 2008 / Detecting anomalous access patterns in relational databases / The VLDB Journal 17 : 1063 ~ 1077
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