| Malware analysis and classification: A survey E Gandotra, D Bansal, S Sofat Journal of Information Security 2014, 2014 | 623 | 2014 |
| An efficient approach for phishing detection using machine learning E Gandotra, D Gupta Multimedia security: algorithm development, analysis and applications, 239-253, 2021 | 73 | 2021 |
| Zero-day malware detection E Gandotra, D Bansal, S Sofat 2016 Sixth international symposium on embedded computing and system design …, 2016 | 60 | 2016 |
| A Hybrid Approach for Android Malware Detection and Family Classification. M Dhalaria, E Gandotra International Journal of Interactive Multimedia & Artificial Intelligence 6 (6), 2021 | 44 | 2021 |
| Computational techniques for predicting cyber threats E Gandotra, D Bansal, S Sofat Intelligent Computing, Communication and Devices: Proceedings of ICCD 2014 …, 2015 | 36 | 2015 |
| Improving spoofed website detection using machine learning E Gandotra, D Gupta Cybernetics and Systems 52 (2), 169-190, 2021 | 34 | 2021 |
| Integrated framework for classification of malwares E Gandotra, D Bansal, S Sofat Proceedings of the 7th International Conference on Security of Information …, 2014 | 27 | 2014 |
| Android malware detection techniques: A literature review M Dhalaria, E Gandotra Recent Patents on Engineering 15 (2), 225-245, 2021 | 26 | 2021 |
| Malware threat assessment using fuzzy logic paradigm E Gandotra, D Bansal, S Sofat Cybernetics and systems 48 (1), 29-48, 2017 | 26 | 2017 |
| Android malware detection using chi-square feature selection and ensemble learning method M Dhalaria, E Gandotra 2020 Sixth international conference on parallel, distributed and grid …, 2020 | 24 | 2020 |
| A framework for detection of android malware using static features M Dhalaria, E Gandotra 2020 IEEE 17th India Council International Conference (INDICON), 1-7, 2020 | 20 | 2020 |
| Malware capability assessment using fuzzy logic A Sharma, E Gandotra, D Bansal, D Gupta Cybernetics and Systems 50 (4), 323-338, 2019 | 20 | 2019 |
| Detecting and classifying morphed malwares: A survey S Singla, E Gandotra, D Bansal, S Sofat International Journal of Computer Applications 122 (10), 2015 | 20 | 2015 |
| Comparative analysis of ensemble methods for classification of android malicious applications M Dhalaria, E Gandotra, S Saha Advances in Computing and Data Sciences: Third International Conference …, 2019 | 19 | 2019 |
| Spatial intuitionistic fuzzy set based image segmentation D Koundal, B Sharma, E Gandotra Imaging Med 9 (4), 95-101, 2017 | 19 | 2017 |
| Tools & Techniques for Malware Analysis and Classification. E Gandotra, D Bansal, S Sofat International Journal of Next-Generation Computing 7 (3), 2016 | 19 | 2016 |
| Classification of PE files using static analysis A Saini, E Gandotra, D Bansal, S Sofat Proceedings of the 7th International Conference on Security of Information …, 2014 | 18 | 2014 |
| CSForest: an approach for imbalanced family classification of android malicious applications M Dhalaria, E Gandotra International Journal of Information Technology 13 (3), 1059-1071, 2021 | 15 | 2021 |
| A novel approach to malware detection using static classification S Singla, E Gandotra, D Bansal, S Sofat International Journal of Computer Science and Information Security 13 (3), 1-5, 2015 | 15 | 2015 |
| Permission based android malicious application detection using machine learning A Kapoor, H Kushwaha, E Gandotra 2019 International Conference on Signal Processing and Communication (ICSC …, 2019 | 14 | 2019 |
