| Fighting against phishing attacks: state of the art and future challenges BB Gupta, A Tewari, AK Jain, DP Agrawal Neural Computing and Applications 28, 3629-3654, 2017 | 349 | 2017 |
| A survey of DDoS attacking techniques and defence mechanisms in the IoT network R Vishwakarma, AK Jain Telecommunication systems 73 (1), 3-25, 2020 | 316 | 2020 |
| A novel approach to protect against phishing attacks at client side using auto-updated white-list AK Jain, BB Gupta EURASIP Journal on Information Security 2016, 1-11, 2016 | 231 | 2016 |
| A machine learning based approach for phishing detection using hyperlinks information AK Jain, BB Gupta Journal of Ambient Intelligence and Humanized Computing 10, 2015-2028, 2019 | 229 | 2019 |
| Phishing detection: analysis of visual similarity based approaches AK Jain, BB Gupta Security and Communication Networks 2017 (1), 5421046, 2017 | 228 | 2017 |
| Towards detection of phishing websites on client-side using machine learning based approach AK Jain, BB Gupta Telecommunication Systems 68, 687-700, 2018 | 207 | 2018 |
| Mobile phishing attacks and defence mechanisms: State of art and open research challenges D Goel, AK Jain Computers & Security 73, 519-544, 2018 | 198 | 2018 |
| Online social networks security and privacy: comprehensive review and analysis AK Jain, SR Sahoo, J Kaubiyal Complex & Intelligent Systems 7 (5), 2157-2177, 2021 | 171 | 2021 |
| PHISH-SAFE: URL features-based phishing detection system using machine learning AK Jain, BB Gupta Cyber Security: Proceedings of CSI 2015, 467-474, 2018 | 149 | 2018 |
| A honeypot with machine learning based detection framework for defending IoT based botnet DDoS attacks R Vishwakarma, AK Jain 2019 3rd International Conference on Trends in Electronics and Informatics …, 2019 | 147 | 2019 |
| A survey of phishing attack techniques, defence mechanisms and open research challenges AK Jain, BB Gupta Enterprise Information Systems 16 (4), 527-565, 2022 | 143 | 2022 |
| A comprehensive study of DDoS attacks over IoT network and their countermeasures P Kumari, AK Jain Computers & Security 127, 103096, 2023 | 94 | 2023 |
| Towards filtering of SMS spam messages using machine learning based technique N Choudhary, AK Jain Advanced Informatics for Computing Research: First International Conference …, 2017 | 79 | 2017 |
| Rule-based framework for detection of smishing messages in mobile environment AK Jain, BB Gupta Procedia Computer Science 125, 617-623, 2018 | 74 | 2018 |
| Two-level authentication approach to protect from phishing attacks in real time AK Jain, BB Gupta Journal of Ambient Intelligence and Humanized Computing 9 (6), 1783-1796, 2018 | 71 | 2018 |
| Comparative analysis of features based machine learning approaches for phishing detection AK Jain, BB Gupta 2016 3rd international conference on computing for sustainable global …, 2016 | 66 | 2016 |
| Recent survey of various defense mechanisms against phishing attacks A Tewari, AK Jain, BB Gupta Journal of Information Privacy and Security 12 (1), 3-13, 2016 | 50 | 2016 |
| Feature based approach for detection of smishing messages in the mobile environment AK Jain, BB Gupta Journal of Information Technology Research (JITR) 12 (2), 17-35, 2019 | 43 | 2019 |
| Survey on DDoS attack techniques and solutions in software-defined network T Ubale, AK Jain Handbook of computer networks and cyber security: Principles and paradigms …, 2020 | 42 | 2020 |
| A novel approach to detect spam and smishing SMS using machine learning techniques AK Jain, SK Yadav, N Choudhary International Journal of E-Services and Mobile Applications (IJESMA) 12 (1 …, 2020 | 35 | 2020 |
Diksha GoelPostdoctoral Fellow at Data61 CSIRO, Australia在 csiro.au 的电子邮件经过验证
