Akış Çizgesi Tabanlı Sızma Tahmin Yöntemi
Öz
Anahtar Kelimeler
Kaynakça
- [1] Feng L., Wang W., Zhu L., Zhang Y.: Predicting the intrusion intentions by observing system call sequences. Journal of Computers & Security 23, 241–252 (2004)
- [2] Feng L., Wang W., Zhu L., Zhang Y.: Predicting intrusion goal using dynamic Bayesian network with transfer probability estimation. Journal of Network and Computer Applications 32 721–732 (2009)
- [3] Haslum K., Abraham A., Knapskog S.: DIPS: A Framework for Distributed Intrusion Prediction and Prevention Using Hidden Markov Models and Online Fuzzy Risk Assessment. IEEE, Third International Symposium on Information Assurance and Security (2007)
- [4] Haslum K., Abraham A., Knapskog S.: Fuzzy Online Risk Assessment for Distributed Intrusion Prediction and Prevention Systems. IEEE, Tenth International Conference on Computer Modeling and Simulation (2008)
- [5] Haslum K., Moe M.E.G., Knapskog S: Realtime Intrusion Prevention and Security Analysis of Networks using HMMs. IEEE (2008)
- [6] Zhengdao Z., Zhumiao P., Zhiping Z.: The study of intrusion prediction based on HsMM. IEEE, Asia-Pacific Services Computing Conference (2008)
- [7] Cheng-Bin L.: A New Intrusion Prediction Method Based on Feature Extraction. IEEE, Second International Workshop on Computer Science and Engineering (2009)
- [8] Li Z., Lei J., Wang L., Li D.: A Data Mining Approach to Generating Network Attack Graph for Intrusion Prediction. IEEE, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (2007)
Ayrıntılar
Birincil Dil
Türkçe
Konular
-
Bölüm
-
Yayımlanma Tarihi
24 Haziran 2016
Gönderilme Tarihi
24 Haziran 2016
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2013 Cilt: 6 Sayı: 1
