Entropy-based application layer DDoS attack detection using artificial neural networks K Johnson Singh, K Thongam, T De Entropy 18 (10), 350, 2016 | 90 | 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 | 88 | 2017 |
An approach of ddos attack detection using classifiers KJ Singh, T De Emerging Research in Computing, Information, Communication and Applications …, 2015 | 34 | 2015 |
Efficient classification of DDoS attacks using an ensemble feature selection algorithm KJ Singh, T De Journal of Intelligent Systems 29 (1), 71-83, 2019 | 32 | 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 | 31 | 2016 |
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 | 29 | 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 | 28 | 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 | 27 | 2015 |
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 | 22 | 2017 |
Multi-classification of UNSW-NB15 Dataset for Network Anomaly Detection System SKJ Roy A. Proceedings of International Conference on Communication and Computational …, 2020 | 19 | 2020 |
Analysis of application layer DDoS attack detection parameters using statistical classifiers KJ Singh, T De Internetworking Indonesia 9 (2), 23-31, 2017 | 11 | 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 | 9 | 2023 |
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 | 7 | 2020 |
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 |
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 | 5 | 2022 |
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 |
Intrusion Detection System with SVM and Ensemble Learning Algorithms K Johnson Singh, D Maisnam, US Chanu SN Computer Science 4 (5), 517, 2023 | 2 | 2023 |
ICMP-DDoS attack detection using clustering-based neural network techniques NN Devi, KJ Singh, T De Operations Research and Optimization: FOTA 2016, Kolkata, India, November 24 …, 2018 | 2 | 2018 |
Tanmay De. Distributed denial of service attack detection using naive bayes classifier through info gain feature selection NA Singh, KJ Singh Proceedings of the International Conference on Informatics and Analytics …, 2016 | 2 | 2016 |
Anomaly-Based Intrusion Detection System in Two Benchmark Datasets Using Various Learning Algorithms TJ Devi, KJ Singh Smart Computing Techniques and Applications: Proceedings of the Fourth …, 2021 | 1 | 2021 |