Machine learning techniques for classifying network anomalies and intrusions Z Li, ALG Rios, G Xu, L Trajković 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019 | 80 | 2019 |
Machine learning for detecting anomalies and intrusions in communication networks Z Li, ALG Rios, L Trajković IEEE Journal on Selected Areas in Communications 39 (7), 2254-2264, 2021 | 38 | 2021 |
Detection of denial of service attacks in communication networks ALG Rios, Z Li, K Bekshentayeva, L Trajković 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 38 | 2020 |
Detecting Internet Worms, Ransomware, and Blackouts Using Recurrent Neural Networks Z Li, ALG Rios, L Trajković 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 23 | 2020 |
Detecting Network Anomalies and Intrusions in Communication Networks ALG Rios, Z Li, G Xu, AD Alonso, L Trajković 2019 IEEE 23rd International Conference on Intelligent Engineering Systems …, 2019 | 18 | 2019 |
Machine Learning for Detecting the WestRock Ransomware Attack Using BGP Routing Records Z Li, ALG Rios, L Trajković IEEE Communications Magazine 61 (3), 20-26, 2022 | 10 | 2022 |
Classifying Denial of Service Attacks Using Fast Machine Learning Algorithms Z Li, ALG Rios, L Trajković 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 6 | 2021 |
Virtual Network Embedding for Switch-Centric Data Center Networks ALG Rios, K Bekshentayeva, M Singh, S Haeri, L Trajkovic 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 4 | 2021 |
Comparison of Virtual Network Embedding Algorithms for Data Center Networks HK Takhar, ALG Rios, L Trajković 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 1660-1664, 2022 | | 2022 |