최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기International journal of computer science and network security : IJCSNS, v.23 no.1, 2023년, pp.46 - 52
Zaryn, Good (Department of Mathematical and Computer Sciences, Indiana University of PA) , Waleed, Farag (Department of Mathematical and Computer Sciences, Indiana University of PA) , Xin-Wen, Wu (Department of Computer Science, University of Mary Washington) , Soundararajan, Ezekiel (Department of Mathematical and Computer Sciences, Indiana University of PA) , Maria, Balega (Department of Mathematical and Computer Sciences, Indiana University of PA) , Franklin, May (Department of Mathematical and Computer Sciences, Indiana University of PA) , Alicia, Deak (Department of Mathematical and Computer Sciences, Indiana University of PA)
With billions of IoT (Internet of Things) devices populating various emerging applications across the world, detecting anomalies on these devices has become incredibly important. Advanced Intrusion Detection Systems (IDS) are trained to detect abnormal network traffic, and Machine Learning (ML) algo...
S. Madakam, R. Ramaswamy, and S. Tripathi, "Internet of things (iot): A literature review," Journal of Computer and Communications, vol. 3, pp. 164-173, 04 2015.?
M. Balega, W. Farag, S. Ezekiel, X.-W. Wu, A. Deak, and Z. Good, "IoT Anomaly Detection Using a Multitude of Machine Learning Algorithms," in the proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, Oct. 11-13, 2022, Washington, DC.?
M. Tavallaee, E. Bagheri, W. Lu, and A. A. Ghorbani, "A detailed analysis of the kdd cup 99 data set," in 2009 IEEE symposium on computational intelligence for security and defense applications. Ieee, 2009, pp. 1-6.?
R. P. Lippmann, D. J. Fried, I. Graf, J. W. Haines, K. R. Kendall, D. McClung, D. Weber, S. E. Webster, D. Wyschogrod, R. K. Cunningham et al., "Evaluating intrusion detection systems: The 1998 darpa offline intrusion detection evaluation," in Proceedings DARPA Information Survivability Conference and Exposition. DISCEX'00, vol. 2. IEEE, 2000, pp. 12-26.?
M. Palacios, "A Comparison of ANNs, SVMs & XGBoost on some Challenging Classification Problems," Oct. 2019, eigenvector Research Incorporated. [Online]. Available: https://eigenvector.com/wp-content/uploads/2020/03/WiseAPACTNonlinearComparison.pdf?
S. Revathi and A. Malathi, "A detailed analysis on nsl-kdd dataset using various machine learning techniques for intrusion detection," International Journal of Engineering Research & Technology (IJERT), vol. 2, no. 12, pp. 1848-1853, 2013.?
J. Canedo and A. Skjellum, "Using machine learning to secure iot systems," in 2016 14th Annual Conference on Privacy, Security and Trust (PST), 2016, pp. 219-222?
F. Hussain, R. Hussain, S. A. Hassan, and E. Hossain, "Machine learning in iot security: Current solutions and future challenges," IEEE Communications Surveys & Tutorials, vol. 22, no. 3, pp. 1686-1721, 2020?
L. Wu and J. Fan, "Comparison of neuron-based, kernel-based, treebased and curve-based machine learning models for predicting daily reference evapotranspiration," PLOS ONE, vol. 14, no. 5, pp. 1-27, 052019. [Online]. Available: https://doi.org/10.1371/journal.pone.0217520?
P. Das, et al., "Amazon sagemaker autopilot: a white box automl solution at scale," CoRR, vol. abs/2012.08483, 2020. [Online]. Available: https://arxiv.org/abs/2012.08483?
T. Chen and C. Guestrin, "Xgboost: A scalable tree boosting system," in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ser. KDD '16. New York, NY, USA: Association for Computing Machinery, 2016, p. 785-794. [Online]. Available: https://doi.org/10.1145/2939672.2939785?
"State of Machine Learning and Data Science 2020," 2020. [Online]. Available: https://www.kaggle.com/kaggle-survey-2020?
Xgboost documentation. [Online]. Available: https://xgboost.readthedocs.io/en/stable/index.html?
C. Cortes and V. Vapnik, "Support-vector networks," in Machine Learning, 1995, pp. 273-297.?
V. Jakkula, "Tutorial on support vector machine (svm)," School of EECS, Washington State University, vol. 37, no. 2.5, p. 3, 2006.?
R. Pupale, "Support vector machines(svm) - an overview," June 2018. [Online]. Available: https://towardsdatascience.com/https-medium-com-pupalerushikesh-svm-f4b42800e989#:~:textSVM?
S. Ezekiel, L. Pearlstein, A. Alshehri, A. Lutz, J. Zaunegger, and W. Farag, "Investigating gan and vae to train dcnn," International Journal of Machine Learning and Computing, vol. 9, pp. 774-781, 12 2019.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.