Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection.
Future Gener. Comput. Syst., January, 2024
Evasion Generative Adversarial Network for Low Data Regimes.
IEEE Trans. Artif. Intell., October, 2023
Evasion-aware botnet detection using artificial intelligence.
PhD thesis, 2023
On Impact of Adversarial Evasion Attacks on ML-based Android Malware Classifier Trained on Hybrid Features.
Proceedings of the 14th International Conference on Software, 2022
An Investigation on Fragility of Machine Learning Classifiers in Android Malware Detection.
Proceedings of the IEEE INFOCOM 2022, 2022
EVAGAN: Evasion Generative Adversarial Network for Low Data Regimes.
CoRR, 2021
Security Hardening of Botnet Detectors Using Generative Adversarial Networks.
IEEE Access, 2021
Energy efficient cross-layer approach for object security of CoAP for IoT devices.
Ad Hoc Networks, 2019
AquaEye: A Low Cost Flood Early Warning System for Developing Countries.
Proceedings of the 2018 International Conference on Frontiers of Information Technology, 2018
Power Management Techniques in Popular Operating Systems for IoT Devices.
Proceedings of the 2018 International Conference on Frontiers of Information Technology, 2018