| Security and privacy in smart farming: Challenges and opportunities M Gupta, M Abdelsalam, S Khorsandroo, S Mittal IEEE access 8, 34564-34584, 2020 | 395 | 2020 |
| Enabling and enforcing social distancing measures using smart city and its infrastructures: a COVID-19 Use case M Gupta, M Abdelsalam, S Mittal arXiv preprint arXiv:2004.09246, 2020 | 126 | 2020 |
| Cyber attacks on smart farming infrastructure S Sontowski, M Gupta, SSL Chukkapalli, M Abdelsalam, S Mittal, A Joshi, ... 2020 IEEE 6th International Conference on Collaboration and Internet …, 2020 | 106 | 2020 |
| Ontologies and artificial intelligence systems for the cooperative smart farming ecosystem SSL Chukkapalli, S Mittal, M Gupta, M Abdelsalam, A Joshi, R Sandhu, ... Ieee Access 8, 164045-164064, 2020 | 85 | 2020 |
| Malware detection in cloud infrastructures using convolutional neural networks M Abdelsalam, R Krishnan, Y Huang, R Sandhu 2018 IEEE 11th international conference on cloud computing (CLOUD), 162-169, 2018 | 84 | 2018 |
| Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS A McDole, M Abdelsalam, M Gupta, S Mittal CLOUD 2020, 2020 | 57 | 2020 |
| Recurrent neural networks based online behavioural malware detection techniques for cloud infrastructure JC Kimmel, AD Mcdole, M Abdelsalam, M Gupta, R Sandhu IEEE Access 9, 68066-68080, 2021 | 42 | 2021 |
| Deep learning techniques for behavioral malware analysis in cloud iaas A McDole, M Gupta, M Abdelsalam, S Mittal, M Alazab Malware analysis using artificial intelligence and deep learning, 269-285, 2021 | 39 | 2021 |
| Clustering-Based IaaS Cloud Monitoring M Abdelsalam, R Krishnan, R Sandhu In Proceedings 10th IEEE International Conference on Cloud Computing (CLOUD), 2017 | 38 | 2017 |
| Analyzing machine learning approaches for online malware detection in cloud JC Kimmell, M Abdelsalam, M Gupta 2021 IEEE International Conference on Smart Computing (SMARTCOMP), 189-196, 2021 | 37 | 2021 |
| Online malware detection in cloud auto-scaling systems using shallow convolutional neural networks M Abdelsalam, R Krishnan, R Sandhu Data and Applications Security and Privacy XXXIII: 33rd Annual IFIP WG 11.3 …, 2019 | 35 | 2019 |
| Knowledge enrichment by fusing representations for malware threat intelligence and behavior A Piplai, S Mittal, M Abdelsalam, M Gupta, A Joshi, T Finin 2020 IEEE International Conference on Intelligence and Security Informatics …, 2020 | 34 | 2020 |
| A survey on adversarial attacks for malware analysis K Aryal, M Gupta, M Abdelsalam arXiv preprint arXiv:2111.08223, 2021 | 33 | 2021 |
| Yieldpredict: A crop yield prediction framework for smart farms NK Choudhary, SSL Chukkapalli, S Mittal, M Gupta, M Abdelsalam, ... 2020 IEEE International Conference on Big Data (Big Data), 2340-2349, 2020 | 22 | 2020 |
| Autoencoder-based anomaly detection in smart farming ecosystem M Adkisson, JC Kimmell, M Gupta, M Abdelsalam 2021 IEEE International Conference on Big Data (Big Data), 3390-3399, 2021 | 21 | 2021 |
| Ontology driven ai and access control systems for smart fisheries SSL Chukkapalli, SB Aziz, N Alotaibi, S Mittal, M Gupta, M Abdelsalam Proceedings of the 2021 ACM workshop on secure and trustworthy cyber …, 2021 | 17 | 2021 |
| Analysis of label-flip poisoning attack on machine learning based malware detector K Aryal, M Gupta, M Abdelsalam 2022 IEEE International Conference on Big Data (Big Data), 4236-4245, 2022 | 15 | 2022 |
| Artificial intelligence assisted malware analysis M Abdelsalam, M Gupta, S Mittal Proceedings of the 2021 ACM Workshop on Secure and Trustworthy Cyber …, 2021 | 10 | 2021 |
| AI assisted malware analysis: a course for next generation cybersecurity workforce M Gupta, S Mittal, M Abdelsalam arXiv preprint arXiv:2009.11101, 2020 | 7 | 2020 |
| Automated machine learning for deep learning based malware detection A Brown, M Gupta, M Abdelsalam Computers & Security 137, 103582, 2024 | 6 | 2024 |
Maanak GuptaAssistant Professor, Tennessee Tech UniversityVerified email at tntech.edu
