Performance evaluation of machine learning models for distributed denial of service attack detection using improved feature selection and hyper‐parameter optimization techniques B Habib, F Khursheed Concurrency and Computation: Practice and Experience 34 (26), e7299, 2022 | 15 | 2022 |
Experimental analysis of DDoS attack and it's detection in Eucalyptus private cloud platform AH Dar, B Habib, F Khurshid, MT Banday 2016 International Conference on Advances in Computing, Communications and …, 2016 | 15 | 2016 |
DDoS mitigation in eucalyptus cloud platform using snort and packet filtering—IP-tables B Habib, F Khurshid, AH Dar, Z Shah 2019 4th International Conference on Information Systems and Computer …, 2019 | 12 | 2019 |
REST-API based DDoS Detection Using Random Forest Classifier in a Platform as a Service Cloud Environment B Habib, F Khursheed International Journal of Computing and Digital Systems 14 (1), 1075-1089, 2023 | 1 | 2023 |
Time‐based DDoS attack detection through hybrid LSTM‐CNN model architectures: An investigation of many‐to‐one and many‐to‐many approaches B Habib, F Khursheed Concurrency and Computation: Practice and Experience 36 (9), e7996, 2024 | | 2024 |
Real-Time Transmission Control Protocol-Synchronize-Based Distributed Denial of Service Detection Framework Using Entropy Variations in Self-Coded Bot-Network Architecture. B Habib, F Khursheed Electrica 23 (2), 2023 | | 2023 |