| Entropy-based application layer DDoS attack detection using artificial neural networks K Johnson Singh, K Thongam, T De Entropy 18 (10), 350, 2016 | 97 | 2016 |
| MLP-GA based algorithm to detect application layer DDoS attack KJ Singh, T De Journal of information security and applications 36, 145-153, 2017 | 93 | 2017 |
| Efficient classification of DDoS attacks using an ensemble feature selection algorithm KJ Singh, T De Journal of Intelligent Systems 29 (1), 71-83, 2019 | 35 | 2019 |
| Detection of DDoS DNS amplification attack using classification algorithm IL Meitei, KJ Singh, T De Proceedings of the international conference on informatics and analytics, 1-6, 2016 | 35 | 2016 |
| An approach of ddos attack detection using classifiers KJ Singh, T De Emerging Research in Computing, Information, Communication and Applications …, 2015 | 34 | 2015 |
| Distributed denial of service attack detection using naive bayes classifier through info gain feature selection NA Singh, KJ Singh, T De Proceedings of the international conference on informatics and analytics, 1-9, 2016 | 31 | 2016 |
| Detection and differentiation of application layer DDoS attack from flash events using fuzzy‐GA computation KJ Singh, K Thongam, T De IET Information Security 12 (6), 502-512, 2018 | 30 | 2018 |
| DDOS attack detection and mitigation technique based on Http count and verification using CAPTCHA KJ Singh, T De 2015 International Conference on Computational Intelligence and Networks …, 2015 | 28 | 2015 |
| Multi-classification of UNSW-NB15 Dataset for Network Anomaly Detection System SKJ Roy A. Proceedings of International Conference on Communication and Computational …, 2020 | 25 | 2020 |
| Mathematical modelling of DDoS attack and detection using correlation K Johnson Singh, T De Journal of cyber security technology 1 (3-4), 175-186, 2017 | 23 | 2017 |
| A dynamic feature selection technique to detect DDoS attack US Chanu, KJ Singh, YJ Chanu Journal Of Information Security And Applications 74, 103445, 2023 | 17 | 2023 |
| Analysis of application layer DDoS attack detection parameters using statistical classifiers KJ Singh, T De Internetworking Indonesia 9 (2), 23-31, 2017 | 12 | 2017 |
| A deep learning approach to image-based malware analysis GA Sharma, KJ Singh, MD Singh Progress in Computing, Analytics and Networking: Proceedings of ICCAN 2019 …, 2020 | 9 | 2020 |
| Intrusion Detection System with SVM and Ensemble Learning Algorithms K Johnson Singh, D Maisnam, US Chanu SN Computer Science 4 (5), 517, 2023 | 8 | 2023 |
| A feed forward deep neural network model using feature selection for cloud intrusion detection system HS Sharma, KJ Singh Concurrency and Computation: Practice and Experience 36 (9), e8001, 2024 | 6 | 2024 |
| An improved image spam classification model based on deep learning techniques AB Singh, KM Singh, YJ Chanu, K Thongam, KJ Singh Security and Communication Networks 2022 (1), 8905424, 2022 | 6 | 2022 |
| An ensemble method for feature selection and an integrated approach for mitigation of distributed denial of service attacks US Chanu, KJ Singh, YJ Chanu Concurrency and Computation: Practice and Experience 34 (13), e6919, 2022 | 5 | 2022 |
| Intrusion detection system: a deep neural network-based concatenated approach HS Sharma, KJ Singh The Journal of Supercomputing, 1-31, 2024 | 4 | 2024 |
| A Machine Learning Approach to Intrusion Detection System Using UNSW-NB-15 and CICDDoS2019 Datasets KJS Akoijam Priya Devi Smart Computing Techniques and Applications, 195-205, 2021 | 4* | 2021 |
| A Novel Approach to Develop and Deploy Preventive Measures for Different Types of DDoS Attacks KJ Singh, J Haokip, US Chanu International Journal of Information Security and Privacy (IJISP) 14 (2), 1-19, 2020 | 4 | 2020 |
Tanmay DeNational Institute of Technology Durgapur, India.Adresse e-mail validée de cse.nitdgp.ac.in