Ricardo Manzano

According to our database, Ricardo Manzano authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Toward Improving the Security of IoT and CPS Devices: An AI Approach.

Abdurhman Albasir, Kshirasagar Naik, Ricardo Manzano

DTRAP, 2023

Data Balancing and CNN based Network Intrusion Detection System.

Omar Elghalhoud, Kshirasagar Naik, Marzia Zaman, Ricardo Manzano S.

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

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

Proceedings of the IEEE Global Communications Conference, 2023

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

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

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021

Time Series Forecasting using Facebook Prophet for Cloud Resource Management.

Mustafa Daraghmeh, Anjali Agarwal, Ricardo Manzano, Marzia Zaman

Proceedings of the IEEE International Conference on Communications Workshops, 2021

Analytical Modeling and Prediction of Cloud Workload.

Tariq Daradkeh, Anjali Agarwal, Marzia Zaman, Ricardo Manzano S.

Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020

A Strongly Non-Intrusive Methodology to Monitor and Detect Anomalous Behaviour of Wireless Devices.

Abdurhman Albasir, Kshirasagar Naik, Ricardo Manzano, Parth Shah, Nitin Naik

Proceedings of the IEEE International Symposium on Systems Engineering, 2020

2019

Deep Learning Based Approach for Classifying Power Signals and Detecting Anomalous Behavior of Wireless Devices.

Abdurhman Albasir, Ricardo Manzano, Kshirasagar Naik

Proceedings of the 2019 IEEE World Congress on Services, 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

Proceedings of the International Symposium on Systems Engineering, 2019

Detection of Anomalous Behavior in Wireless Devices Using Changepoint Analysis.

Ricardo Manzano, Abdurhman Albasir, Kshirasagar Naik, Jim Kozlowski, Nishith Goel

Proceedings of the 2019 IEEE International Congress on Internet of Things, 2019