| Toward an online anomaly intrusion detection system based on deep learning K Alrawashdeh, C Purdy 2016 15th IEEE international conference on machine learning and applications …, 2016 | 318 | 2016 |
| Fast activation function approach for deep learning based online anomaly intrusion detection K Alrawashdeh, C Purdy 2018 IEEE 4th International Conference on Big Data Security on Cloud …, 2018 | 32 | 2018 |
| Reducing calculation requirements in FPGA implementation of deep learning algorithms for online anomaly intrusion detection K Alrawashdeh, C Purdy 2017 IEEE National Aerospace and Electronics Conference (NAECON), 57-62, 2017 | 32 | 2017 |
| Ransomware detection using limited precision deep learning structure in FPGA K Alrawashdeh, C Purdy NAECON 2018-IEEE National Aerospace and Electronics Conference, 152-157, 2018 | 19 | 2018 |
| Fast hardware assisted online learning using unsupervised deep learning structure for anomaly detection K Alrawashdeh, C Purdy 2018 International Conference on Information and Computer Technologies …, 2018 | 18 | 2018 |
| Verification of Random Number Generators for Embedded Machine Learning J Lockhart, K Al Rawashdeh, C Purdy NAECON 2018 - IEEE National Aerospace and Electronics Conference, 2018 | 6 | 2018 |
| Optimizing Deep Learning Based Intrusion Detection Systems Defense Against White-Box and Backdoor Adversarial Attacks Through a Genetic Algorithm K Alrawashdeh, S Goldsmith 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2020 | 4 | 2020 |
| Toward a hardware-assisted online intrusion detection system based on deep learning algorithms for resource-limited embedded systems K Al Rawashdeh University of Cincinnati, 2018 | 4 | 2018 |
| Defending deep learning based anomaly detection systems against white-box adversarial examples and backdoor attacks K Alrawashdeh, S Goldsmith 2020 IEEE International Symposium on Technology and Society (ISTAS), 294-301, 2020 | 2 | 2020 |
| Blockchain-Based Distributed Hybrid Cloud Identity Management for Securing IoT Devices in the Cloud S Katta, K Alrawashdeh, J Adebayo, M Tulasi, M Dokka NAECON 2023-IEEE National Aerospace and Electronics Conference, 67-72, 2023 | | 2023 |
| BDS/HPSC/IDS 2018 S Forman, BK Samanthula, K Alrawashdeh, C Purdy, B Wang, Y Zhang, ... | | 2018 |
