Open Access
| Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|
|
|---|---|---|
| Article Number | 02042 | |
| Number of page(s) | 5 | |
| Section | Algorithm Optimization and Application | |
| DOI | https://doi.org/10.1051/itmconf/20224702042 | |
| Published online | 23 June 2022 | |
- Gadze, J.D., Bamfo-Asante, A.A., Agyemang, J.O., Nunoo-Mensah, H., Opare, K.A.B., 2021. An Investigation into the Application of Deep Learning in the Detection and Mitigation of DDOS Attack on SDN Controllers. Technologies 9, 14. [CrossRef] [Google Scholar]
- V. Bartos, M. Zadnik, S.M. Habib, E. Vasilomanolakis, Network entity characterization and attack prediction, Future Gener. Comput. Syst. 97(2019) 674–686. [CrossRef] [Google Scholar]
- Mohammed, S.S., Hussain, R., Senko, O., Bimaganbetov, B., Lee, J., Hussain, F., Kerrache, C.A., Barka, E., Bhuiyan, M.Z.A., 2018. A New Machine Learning-based Collaborative DDoS Mitigation Mechanism in Software-Defined Network, in: 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), IEEE. pp. 1–8. [Google Scholar]
- Y. Shen, E. Mariconti, P.A. Vervier, G. Stringhini, Tiresias: Predicting security events through deep learning, in: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, ACM, 2018, pp.592–605. [Google Scholar]
- K. Cho, B. Van Merriënboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, Y. Bengio, Learning phrase representations using RNN encoderdecoder for statistical machine translation, 2014, arXiv preprint arXiv:1406.1078. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.