ML for Intrusion Detection

Capstone Papers

Top cited papers (250+ citations, 2018-2024) ranked by citation count.

#	Paper	Citations
1	Deep Learning Approach for Intelligent Intrusion Detection System R. Vinayakumar, Mamoun Alazab, K. P. Soman et al. IEEE Access 2019	1,616
2	A Deep Learning Approach to Network Intrusion Detection Nathan Shone, Trần Nguyên Ngọc, Phai Vu Dinh et al. IEEE Transactions on Emerging Topics in Computational Intelligence 2018	1,498
3	Future Frame Prediction for Anomaly Detection - A New Baseline Wen Liu, Weixin Luo, Dongze Lian et al. 2018	1,345
4	f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein et al. Medical Image Analysis 2019	1,321
5	Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network Ya Su, Youjian Zhao, Chenhao Niu et al. 2019	1,260
6	Machine Learning and Deep Learning Methods for Cybersecurity Yang Xin, Lingshuang Kong, Zhi Liu et al. IEEE Access 2018	1,116
7	Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection Bo Zong, Song Qi, Martin Renqiang Min et al. 2018	1,088
8	Towards Total Recall in Industrial Anomaly Detection Karsten Roth, Latha Pemula, Joaquin Zepeda et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022	1,074
9	Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations Yisroel Mirsky, Tomer Doitshman, Yuval Elovici et al. HAL (Le Centre pour la Communication Scientifique Directe) 2018	1,069
10	Network intrusion detection system: A systematic study of machine learning and deep learning approaches Zeeshan Ahmad, Adnan Shahid Khan, Cheah Wai Shiang et al. Transactions on Emerging Telecommunications Technologies 2020	1,057