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Ricardo Manzano

Ricardo Manzano S. – Ricardo Alejandro Manzano Sanchez

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Journal Articles

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2022
[j1]
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  - journals/sensors/SanchezZGNJ22
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  - https://dblp.org/rec/journals/sensors/SanchezZGNJ22
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)

Conference and Workshop Papers

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2023
[c9]
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  - conf/globecom/MoyeenKASZG23
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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]
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  - conf/wcnc/ElghalhoudNZS23
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Omar Elghalhoud, Kshirasagar Naik, Marzia Zaman, Ricardo Manzano S.:
Data Balancing and CNN based Network Intrusion Detection System. WCNC 2023: 1-6
2022
[c7]
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  - conf/ccwc/SGZJN22
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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]
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  - conf/icc/DaradkehAZS21
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Tariq Daradkeh, Anjali Agarwal, Marzia Zaman, Ricardo Manzano S.:
Analytical Modeling and Prediction of Cloud Workload. ICC Workshops 2021: 1-6
[c5]
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  - conf/icc/DaraghmehAMZ21
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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]
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  - conf/isse2/AlbasirNMSN20
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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
2019
[c3]
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  - conf/iciot/ManzanoANKG19
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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]
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  - conf/isse2/Al-tekreetiKMAN19
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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]
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  - conf/services/AlbasirMN19
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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

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