Detection of Anomalous Behavior in Wireless Devices Using Changepoint Analysis. - Ricardo Manzano; Abdurhman Albasir; Kshirasagar Naik; Jim Kozlowski; Nishith Goel (ICIOT, 2019)

Machine Learning Based Malware Detection in Wireless Devices Using Power Footprints. - Mustafa Al-tekreeti; Tania Kapoor; Ricardo Manzano; Abdurhman Albasir; Kshirasagar Naik; Nishith Goel; A. James Kozlowski (ISSE, 2019)

Deep Learning Based Approach for Classifying Power Signals and Detecting Anomalous Behavior of Wireless Devices. - Abdurhman Albasir; Ricardo Manzano; Kshirasagar Naik (SERVICES, 2019)

A Strongly Non-Intrusive Methodology to Monitor and Detect Anomalous Behaviour of Wireless Devices. - Abdurhman Albasir; Kshirasagar Naik; Ricardo Manzano; Parth Shah; Nitin Naik (ISSE, 2020)

Analytical Modeling and Prediction of Cloud Workload. - Tariq Daradkeh; Anjali Agarwal; Marzia Zaman; Ricardo Manzano S. (ICC Workshops, 2021)

Time Series Forecasting using Facebook Prophet for Cloud Resource Management. - Mustafa Daraghmeh; Anjali Agarwal; Ricardo Manzano; Marzia Zaman (ICC Workshops, 2021)

Design of a Machine Learning Based Intrusion Detection Framework and Methodology for IoT Networks. - Ricardo Manzano S.; Nishith Goel; Marzia Zaman; Rohit Joshi; Kshirasagar Naik (CCWC, 2022)

Towards Developing a Robust Intrusion Detection Model Using Hadoop-Spark and Data Augmentation for IoT Networks. - Ricardo Alejandro Manzano Sanchez; Marzia Zaman; Nishith Goel; Kshirasagar Naik; Rohit Joshi (Sensors, 2022)

FedChallenger: Challenge-Response-Based Defence for Federated Learning Against Byzantine Attacks. - M. A. Moyeen; Kuljeet Kaur; Anjali Agarwal; Ricardo Manzano S.; Marzia Zaman; Nishith Goel (GLOBECOM, 2023)

Data Balancing and CNN based Network Intrusion Detection System. - Omar Elghalhoud; Kshirasagar Naik; Marzia Zaman; Ricardo Manzano S. (WCNC, 2023)

Toward Improving the Security of IoT and CPS Devices: An AI Approach. - Abdurhman Albasir; Kshirasagar Naik; Ricardo Manzano (DTRAP, 2023)

Detection of Anomalous Behavior of Smartphone Devices using Changepoint Analysis and Machine Learning Techniques. - Ricardo Alejandro Manzano Sanchez; Kshirasagar Naik; Abdurhman Albasir; Marzia Zaman; Nishith Goel (DTRAP, 2023)

Federated Learning Framework Based on Distributed Storage and Diffusion Model for Intrusion Detection on IoT Networks. - Ricardo Manzano; Marzia Zaman; Darshana Upadhyay; Nishith Goel; Srinivas Sampalli (IEEE Access, 2025)