| Detection of autism spectrum disorder in children using machine learning techniques K Vakadkar, D Purkayastha, D Krishnan SN computer science 2, 1-9, 2021 | 129 | 2021 |
| Machine learning approaches in stock price prediction: a systematic review P Soni, Y Tewari, D Krishnan Journal of Physics: Conference Series 2161 (1), 012065, 2022 | 112 | 2022 |
| An adaptive distributed intrusion detection system for cloud computing framework D Krishnan, M Chatterjee Recent Trends in Computer Networks and Distributed Systems Security …, 2012 | 33 | 2012 |
| A deep learning approach for detection of SQL injection attacks using convolutional neural networks A Falor, M Hirani, H Vedant, P Mehta, D Krishnan Proceedings of Data Analytics and Management: ICDAM 2021, Volume 2, 293-304, 2022 | 30 | 2022 |
| A distributed self-adaptive intrusion detection system for mobile ad-hoc networks using tamper evident mobile agents D Krishnan Procedia Computer Science 46, 1203-1208, 2015 | 18 | 2015 |
| Comparative Review on Sentiment analysis-based Recommendation system A Nair, C Paralkar, J Pandya, Y Chopra, D Krishnan 2021 6th International Conference for Convergence in Technology (I2CT), 1-6, 2021 | 13 | 2021 |
| Cloud security management suite—security as a service D Krishnan, M Chatterjee 2012 World Congress on Information and Communication Technologies, 431-436, 2012 | 12 | 2012 |
| Extractive Text Summarization Techniques of News Articles: Issues, Challenges and Approaches S Singh, A Singh, S Majumder, A Sawhney, D Krishnan 2019 International Conference on Vision Towards Emerging Trends in …, 2019 | 9 | 2019 |
| Imbalanced classification for botnet detection in Internet of Things D Krishnan, P Babu Next Generation of Internet of Things: Proceedings of ICNGIoT 2021, 595-605, 2021 | 8 | 2021 |
| Cost-sensitive bootstrapped weighted random forest for DoS attack detection in wireless sensor networks D Krishnan, S Singh TENCON 2021-2021 IEEE Region 10 Conference (TENCON), 375-380, 2021 | 7 | 2021 |
| Phishing website detection system based on enhanced itree classifier D Krishnan, V Subramaniyaswamy ARPN J. Eng. Appl. Sci 10 (14), 5688-5699, 2015 | 7 | 2015 |
| Multiclass classification of liver diseases using optimized machine learning classifiers P Verma, K Deshmukh, D Krishnan 2023 International Conference on Computational Intelligence and Knowledge …, 2023 | 4 | 2023 |
| Detection of denial-of-service attacks using stacked LSTM networks D Krishnan Proceedings of Data Analytics and Management: ICDAM 2021, Volume 2, 229-239, 2022 | 4 | 2022 |
| Deep hybrid approach with sequential feature extraction and classification for robust malware detection S Singh, D Krishnan, V Vazirani, V Ravi, SA Alsuhibany Egyptian Informatics Journal 27, 100539, 2024 | 3 | 2024 |
| Robust Botnet Detection Approach for Known and Unknown Attacks in IoT Networks Using Stacked Multi-classifier and Adaptive Thresholding D Krishnan, P Shrinath Arabian Journal for Science and Engineering, 1-17, 2024 | 3 | 2024 |
| Campus placement prediction system using deep neural networks B Udawat, A Kale, D Sinha, H Sharma, D Krishnan International Conference on Innovative Computing and Communications …, 2022 | 3 | 2022 |
| An Adaptive weighted voting classifier for botnet detection in internet of things D Krishnan, P Babu 2021 IEEE 18th India Council International Conference (INDICON), 1-6, 2021 | 3 | 2021 |
| A Deep Learning Approach for Detection of SQL Injection Attacks using Convolutional Neural Networks M Hirani, A Falor, H Vedant, P Mehta, D Krishnan Department of Computer Engineering, MPSTME, NMIMS University, Mumbai, India, 2020 | 3 | 2020 |
| A Survey on Security Attacks in Internet of Things and Challenges in Existing Countermeasures D Krishnan Proceedings of International Conference on Wireless Communication, 463-469, 2020 | 3 | 2020 |
| Enhancing energy efficiency and imbalance handling in botnet detection in IoT networks: a multi-stage feature reduction and weighted approach D Krishnan, P Shrinath International Journal of Information Technology, 1-12, 2024 | 2 | 2024 |
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