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2020 – today
- 2023
[c9]M. A. Moyeen, Kuljeet Kaur, Anjali Agarwal, Ricardo Manzano S., Marzia Zaman, Nishith Goel:
FedChallenger: Challenge-Response-Based Defence for Federated Learning Against Byzantine Attacks. GLOBECOM 2023: 3843-3848- [c8]Omar Elghalhoud, Kshirasagar Naik, Marzia Zaman, Ricardo Manzano S.:
Data Balancing and CNN based Network Intrusion Detection System. WCNC 2023: 1-6 - 2022
- [j1]Ricardo Alejandro Manzano Sanchez
, Marzia Zaman, Nishith Goel, Kshirasagar Naik, Rohit Joshi:
Towards Developing a Robust Intrusion Detection Model Using Hadoop-Spark and Data Augmentation for IoT Networks. Sensors 22(20): 7726 (2022) - [c7]Ricardo Manzano S., Nishith Goel, Marzia Zaman, Rohit Joshi, Kshirasagar Naik:
Design of a Machine Learning Based Intrusion Detection Framework and Methodology for IoT Networks. CCWC 2022: 191-198 - 2021
- [c6]Tariq Daradkeh, Anjali Agarwal, Marzia Zaman, Ricardo Manzano S.:
Analytical Modeling and Prediction of Cloud Workload. ICC Workshops 2021: 1-6 - [c5]Mustafa Daraghmeh, Anjali Agarwal, Ricardo Manzano, Marzia Zaman:
Time Series Forecasting using Facebook Prophet for Cloud Resource Management. ICC Workshops 2021: 1-6 - 2020
- [c4]Abdurhman Albasir, Kshirasagar Naik, Ricardo Manzano, Parth Shah, Nitin Naik:
A Strongly Non-Intrusive Methodology to Monitor and Detect Anomalous Behaviour of Wireless Devices. ISSE 2020: 1-8
2010 – 2019
- 2019
- [c3]Ricardo Manzano, Abdurhman Albasir, Kshirasagar Naik, Jim Kozlowski, Nishith Goel:
Detection of Anomalous Behavior in Wireless Devices Using Changepoint Analysis. ICIOT 2019: 82-90 - [c2]Mustafa Al-tekreeti, Tania Kapoor, Ricardo Manzano, Abdurhman Albasir, Kshirasagar Naik, Nishith Goel, A. James Kozlowski:
Machine Learning Based Malware Detection in Wireless Devices Using Power Footprints. ISSE 2019: 1-8 - [c1]Abdurhman Albasir, Ricardo Manzano, Kshirasagar Naik:
Deep Learning Based Approach for Classifying Power Signals and Detecting Anomalous Behavior of Wireless Devices. SERVICES 2019: 92-98
Coauthor Index
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