| Detection of phishing websites using an efficient feature-based machine learning framework RS Rao, AR Pais Neural Computing and applications 31, 3851-3873, 2019 | 302 | 2019 |
| CatchPhish: detection of phishing websites by inspecting URLs RS Rao, T Vaishnavi, AR Pais Journal of Ambient Intelligence and Humanized Computing, 2019 | 150 | 2019 |
| Efficient deep learning techniques for the detection of phishing websites M Somesha, AR Pais, RS Rao, VS Rathour Sādhanā 45, 1-18, 2020 | 124 | 2020 |
| Jail-Phish: An improved search engine based phishing detection system RS Rao, AR Pais Computers & Security 83, 246-267, 2019 | 116 | 2019 |
| Phishshield: a desktop application to detect phishing webpages through heuristic approach RS Rao, ST Ali Procedia Computer Science 54, 147-156, 2015 | 101 | 2015 |
| A computer vision technique to detect phishing attacks RS Rao, ST Ali 2015 Fifth International Conference on Communication Systems and Network …, 2015 | 78 | 2015 |
| Detecting phishing websites using automation of human behavior R Srinivasa Rao, AR Pais Proceedings of the 3rd ACM workshop on cyber-physical system security, 33-42, 2017 | 68 | 2017 |
| Two level filtering mechanism to detect phishing sites using lightweight visual similarity approach RS Rao, AR Pais Journal of Ambient Intelligence and Humanized Computing 11 (9), 3853-3872, 2020 | 57 | 2020 |
| An enhanced blacklist method to detect phishing websites RS Rao, AR Pais Information Systems Security: 13th International Conference, ICISS 2017 …, 2017 | 54 | 2017 |
| Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites LR Kalabarige, RS Rao, A Abraham, LA Gabralla IEEE Access, 2022 | 53 | 2022 |
| PhishDump: A multi-model ensemble based technique for the detection of phishing sites in mobile devices RS Rao, T Vaishnavi, AR Pais Pervasive and mobile computing 60, 101084, 2019 | 46 | 2019 |
| A heuristic technique to detect phishing websites using TWSVM classifier RS Rao, AR Pais, P Anand Neural Computing and Applications 33 (11), 5733-5752, 2021 | 42 | 2021 |
| Logistic-map based fragile image watermarking scheme for tamper detection and localization AK Sahu, M Hassaballah, RS Rao, G Suresh Multimedia Tools and Applications 82 (16), 24069-24100, 2023 | 36 | 2023 |
| Application of word embedding and machine learning in detecting phishing websites RS Rao, A Umarekar, AR Pais Telecommunication Systems 79 (1), 33-45, 2022 | 28 | 2022 |
| Stop-Phish: an intelligent phishing detection method using feature selection ensemble AV Ramana, KL Rao, RS Rao Social Network analysis and mining 11 (1), 110, 2021 | 25 | 2021 |
| Multimodal imputation-based stacked ensemble for prediction and classification of air quality index in Indian cities RS Rao, LR Kalabarige, B Alankar, AK Sahu Computers and Electrical Engineering 114, 109098, 2024 | 24 | 2024 |
| A boosting-based hybrid feature selection and multi-layer stacked ensemble learning model to detect phishing websites LR Kalabarige, RS Rao, AR Pais, LA Gabralla IEEE Access 11, 71180-71193, 2023 | 19 | 2023 |
| Machine learning models for phishing detection from TLS traffic M Kumar, C Kondaiah, AR Pais, RS Rao Cluster Computing 26 (5), 3263-3277, 2023 | 10 | 2023 |
| Kernel modification APT attack detection in android A Anto, RS Rao, AR Pais International Symposium on Security in Computing and Communication, 236-249, 2017 | 5 | 2017 |
| Enhanced malicious traffic detection in encrypted communication using TLS features and a multi-class classifier ensemble C Kondaiah, AR Pais, RS Rao Journal of Network and Systems Management 32 (4), 76, 2024 | 4 | 2024 |
Alwyn Roshan PaisNITK SurathkalVerified email at nitk.edu.in
![Dr. Aditya Kumar Sahu [Featured in the Stanford Top 2% list in 2021, 2023 and 2024]](https://scholar.googleusercontent.com/citations?view_op=small_photo&user=lZm5g0gAAAAJ&citpid=32)
