Monowar H. Bhuyan

According to our database, Monowar H. Bhuyan authored at least 63 papers between 2010 and 2024.

Collaborative distances:

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

2024

Robust Procedural Learning for Anomaly Detection and Observability in 5G RAN.

Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth

IEEE Trans. Netw. Serv. Manag., April, 2024

A combination learning framework to uncover cyber attacks in IoT networks.

Arati Behera, Kshira Sagar Sahoo, Tapas Kumar Mishra, Monowar H. Bhuyan

Internet Things, 2024

Revisiting Edge AI: Opportunities and Challenges.

Tobias Meuser, Lauri Lovén, Monowar H. Bhuyan, Shishir G. Patil, Schahram Dustdar, Atakan Aral, Suzan Bayhan, Christian Becker, Eyal de Lara, Aaron Yi Ding, Janick Edinger, James Gross, Nitinder Mohan, Andy D. Pimentel, Etienne Rivière, Henning Schulzrinne, Pieter Simoens, Gürkan Solmaz, Michael Welzl

IEEE Internet Comput., 2024

FloRa: Flow Table Low-Rate Overflow Reconnaissance and Detection in SDN.

Ankur Mudgal, Abhishek Verma, Munesh Singh, Kshira Sagar Sahoo, Erik Elmroth, Monowar H. Bhuyan

CoRR, 2024

Personalized Multi-tier Federated Learning.

Sourasekhar Banerjee, Ali Dadras, Alp Yurtsever, Monowar H. Bhuyan

CoRR, 2024

Securing P4-SDN Data Plane against Flow Table Modification Attack.

Buchammagari Avinash Reddy, Kshira Sagar Sahoo, Monowar H. Bhuyan

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

2023

MetaVSID: A Robust Meta-Reinforced Learning Approach for VSI-DDoS Detection on the Edge.

Xuan-Son Vu, Maode Ma, Monowar H. Bhuyan

IEEE Trans. Netw. Serv. Manag., June, 2023

Semi-Supervised Range-Based Anomaly Detection for Cloud Systems.

Pratyush Kr. Deka, Yash Verma, Adil Bin Bhutto, Erik Elmroth, Monowar H. Bhuyan

IEEE Trans. Netw. Serv. Manag., June, 2023

Few-shot Anomaly Detection in Text with Deviation Learning.

Anindya Sundar Das, Aravind Ajay, Sriparna Saha, Monowar H. Bhuyan

CoRR, 2023

Unified Identification of Anomalies on the Edge: A Hybrid Sequential PGM Approach.

Javad Forough, Monowar H. Bhuyan, Erik Elmroth

Proceedings of the 22nd IEEE International Conference on Trust, 2023

Detecting DDoS Attacks on the Network Edge: An Information-Theoretic Correlation Analysis.

Ryosuke Araki, Kshira Sagar Sahoo, Yuzo Taenaka, Youki Kadobayashi, Erik Elmroth, Monowar H. Bhuyan

Proceedings of the 22nd IEEE International Conference on Trust, 2023

Anomaly Detection and Resolution on the Edge: Solutions and Future Directions.

Javad Forough, Monowar H. Bhuyan, Erik Elmroth

Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023

Few-Shot Anomaly Detection in Text with Deviation Learning.

Anindya Sundar Das, Aravind Ajay, Sriparna Saha, Monowar H. Bhuyan

Proceedings of the Neural Information Processing - 30th International Conference, 2023

ADCluster: Adaptive Deep Clustering for Unsupervised Learning from Unlabeled Documents.

Arezoo Hatefi, Xuan-Son Vu, Monowar H. Bhuyan, Frank Drewes

Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP 2023), 2023

Towards Post-disaster Damage Assessment using Deep Transfer Learning and GAN-based Data Augmentation.

Sourasekhar Banerjee, Yashwant Singh Patel, Pushkar Kumar, Monowar H. Bhuyan

Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023

COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge Continuum.

Paul Townend, Alberto P. Martí, Idoia De-la-Iglesia, Nikolaos Matskanis, Thomas Ohlson Timoudas, Torsten Hallmann, Antonio Lalaguna, Kaja Swat, Francesco Renzi, Dominik Bochenski, Marco Mancini, Monowar H. Bhuyan, Marco González-Hierro, Sébastien Dupont, Johan Kristiansson, Rubén S. Montero, Erik Elmroth, Ivá Valdés, Philippe Massonet, Daniel Olsson, Ignacio Martín Llorente, Per-Olov Östberg, Michael Abdou

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

Towards a Workload Mapping Model for Tuning Backing Services in Cloud Systems.

Gaurav Kumar, Kshira Sagar Sahoo, Monowar H. Bhuyan

Proceedings of the Database and Expert Systems Applications, 2023

Bottleneck identification and failure prevention with procedural learning in 5G RAN.

Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Combining Block Bootstrap with Exponential Smoothing for Reinforcing Non-Emergency Urban Service Prediction.

Kshira Sagar Sahoo, Shivam Krishana, Monowar H. Bhuyan

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A survey on blockchain, SDN and NFV for the smart-home security.

N'guessan Yves-Roland Douha, Monowar H. Bhuyan, Shigeru Kashihara, Doudou Fall, Yuzo Taenaka, Youki Kadobayashi

Internet Things, 2022

Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds.

Adil Bin Bhutto, Xuan-Son Vu, Erik Elmroth, Wee Peng Tay, Monowar H. Bhuyan

IEEE Access, 2022

Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection.

Sourasekhar Banerjee, Xuan-Son Vu, Monowar H. Bhuyan

Proceedings of the International Joint Conference on Neural Networks, 2022

Argumentation-Based Adversarial Regression with Multiple Learners.

Monowar H. Bhuyan, Juan Carlos Nieves

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

DELA: A Deep Ensemble Learning Approach for Cross-layer VSI-DDoS Detection on the Edge.

Javad Forough, Monowar H. Bhuyan, Erik Elmroth

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Uncovering latency anomalies in 5G RAN - A combination learner approach.

Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth

Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

Unsupervised root-cause identification of software bugs in 5G RAN.

Tobias Sundqvist, Monowar H. Bhuyan, Erik Elmroth

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges.

William Tärneberg, Emma Fitzgerald, Monowar H. Bhuyan, Paul Townend, Karl-Erik Årzén, Per-Olov Östberg, Erik Elmroth, Johan Eker, Fredrik Tufvesson, Maria Kihl

Proceedings of the 1st International Conference on 6G Networking, 2022

2021

DeL-IoT: A deep ensemble learning approach to uncover anomalies in IoT.

Enkhtur Tsogbaatar, Monowar H. Bhuyan, Yuzo Taenaka, Doudou Fall, Gonchigsumlaa Khishigjargal, Erik Elmroth, Youki Kadobayashi

Internet Things, 2021

A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications.

Enkhtur Tsogbaatar, Monowar H. Bhuyan, Doudou Fall, Yuzo Taenaka, Gonchigsumlaa Khishigjargal, Erik Elmroth, Youki Kadobayashi

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Fed-FiS: a Novel Information-Theoretic Federated Feature Selection for Learning Stability.

Sourasekhar Banerjee, Erik Elmroth, Monowar H. Bhuyan

Proceedings of the Neural Information Processing - 28th International Conference, 2021

D-LBAH: Dynamic Load Balancing Algorithm for HEC-SDN systems.

Cheikh Saliou Mbacke Babou, Doudou Fall, Shigeru Kashihara, Yuzo Taenaka, Monowar H. Bhuyan, Ibrahima Niang, Ibrahima Diané, Youki Kadobayashi

Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021

Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling.

Arezoo Hatefi, Xuan-Son Vu, Monowar H. Bhuyan, Frank Drewes

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Detection of VSI-DDoS Attacks on the Edge: A Sequential Modeling Approach.

Javad Forough, Monowar H. Bhuyan, Erik Elmroth

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020

Hierarchical Load Balancing and Clustering Technique for Home Edge Computing.

Cheikh Saliou Mbacke Babou, Doudou Fall, Shigeru Kashihara, Yuzo Taenaka, Monowar H. Bhuyan, Ibrahima Niang, Youki Kadobayashi

IEEE Access, 2020

End-to-End Analysis for Text Detection and Recognition in Natural Scene Images.

Ahlam Alnefaie, Deepak Gupta, Monowar H. Bhuyan, Imran Razzak, Prashant Gupta, Mukesh Prasad

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SDN-Enabled IoT Anomaly Detection Using Ensemble Learning.

Enkhtur Tsogbaatar, Monowar H. Bhuyan, Yuzo Taenaka, Doudou Fall, Gonchigsumlaa Khishigjargal, Erik Elmroth, Youki Kadobayashi

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Boosted Ensemble Learning for Anomaly Detection in 5G RAN.

Tobias Sundqvist, Monowar H. Bhuyan, Johan Forsman, Erik Elmroth

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting.

Ayush Agarwal, Aneesh Sreevallabh Chivukula, Monowar H. Bhuyan, Tony Jan, Bhuva Narayan, Mukesh Prasad

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Multi-diseases Classification from Chest-X-ray: A Federated Deep Learning Approach.

Sourasekhar Banerjee, Rajiv Misra, Mukesh Prasad, Erik Elmroth, Monowar H. Bhuyan

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019

SURE-H: A Secure IoT Enabled Smart Home System.

Roshmi Sarmah, Manasjyoti Bhuyan, Monowar H. Bhuyan

Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Adversarial Impact on Anomaly Detection in Cloud Datacenters.

Pratyush Kr. Deka, Monowar H. Bhuyan, Youki Kadobayashi, Erik Elmroth

Proceedings of the 24th IEEE Pacific Rim International Symposium on Dependable Computing, 2019

Information-Theoretic Ensemble Learning for DDoS Detection with Adaptive Boosting.

Monowar H. Bhuyan, Maode Ma, Youki Kadobayashi, Erik Elmroth

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Multi-scale Low-Rate DDoS Attack Detection Using the Generalized Total Variation Metric.

Monowar H. Bhuyan, Erik Elmroth

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Network Traffic Anomaly Detection and Prevention - Concepts, Techniques, and Tools

Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita

Computer Communications and Networks, Springer, ISBN: 978-3-319-65186-6, 2017

2016

E-LDAT: a lightweight system for DDoS flooding attack detection and IP traceback using extended entropy metric.

Monowar H. Bhuyan, D. K. Bhattacharyya, Jugal K. Kalita

Secur. Commun. Networks, 2016

A multi-step outlier-based anomaly detection approach to network-wide traffic.

Monowar H. Bhuyan, D. K. Bhattacharyya, Jugal K. Kalita

Inf. Sci., 2016

Rank Correlation for Low-Rate DDoS Attack Detection: An Empirical Evaluation.

Arindom Ain, Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita

Int. J. Netw. Secur., 2016

BRC-KEP: A secure biometric and reversible CA based 2-party key exchange protocol.

S. Choudhury, A. Kalwar, A. Goswami, Monowar H. Bhuyan

Proceedings of the Ninth International Conference on Contemporary Computing, 2016

2015

An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection.

Monowar H. Bhuyan, D. K. Bhattacharyya, Jugal K. Kalita

Pattern Recognit. Lett., 2015

Towards Generating Real-life Datasets for Network Intrusion Detection.

Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita

Int. J. Netw. Secur., 2015

2014

Network attacks: Taxonomy, tools and systems.

Nazrul Hoque, Monowar H. Bhuyan, Ram Charan Baishya, D. K. Bhattacharyya, Jugal K. Kalita

J. Netw. Comput. Appl., 2014

Network Anomaly Detection: Methods, Systems and Tools.

Monowar H. Bhuyan, D. K. Bhattacharyya, Jugal K. Kalita

IEEE Commun. Surv. Tutorials, 2014

Detecting Distributed Denial of Service Attacks: Methods, Tools and Future Directions.

Monowar H. Bhuyan, Hirak Jyoti Kashyap, Dhruba Kumar Bhattacharyya, Jugal K. Kalita

Comput. J., 2014

Towards an Unsupervised Method for Network Anomaly Detection in Large Datasets.

Monowar Hussain Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita

Comput. Informatics, 2014

Information metrics for low-rate DDoS attack detection: A comparative evaluation.

Monowar H. Bhuyan, D. K. Bhattacharyya, Jugal K. Kalita

Proceedings of the Seventh International Conference on Contemporary Computing, 2014

2012

AOCD: An Adaptive Outlier Based Coordinated Scan Detection Approach.

Monowar H. Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita

Int. J. Netw. Secur., 2012

An Effective Fingerprint Classification and Search Method

Monowar H. Bhuyan, D. K. Bhattacharyya

CoRR, 2012

An effective unsupervised network anomaly detection method.

Monowar H. Bhuyan, D. K. Bhattacharyya, Jugal K. Kalita

Proceedings of the 2012 International Conference on Advances in Computing, 2012

Packet and Flow Based Network Intrusion Dataset.

Prasanta Gogoi, Monowar H. Bhuyan, D. K. Bhattacharyya, Jugal K. Kalita

Proceedings of the Contemporary Computing - 5th International Conference, 2012

2011

Survey on Incremental Approaches for Network Anomaly Detection.

Monowar Hussain Bhuyan, Dhruba K. Bhattacharyya, Jugal K. Kalita

Int. J. Commun. Networks Inf. Secur., 2011

Surveying Port Scans and Their Detection Methodologies.

Monowar H. Bhuyan, D. K. Bhattacharyya, Jugal K. Kalita

Comput. J., 2011

NADO: network anomaly detection using outlier approach.

Monowar H. Bhuyan, D. K. Bhattacharyya, Jugal K. Kalita

Proceedings of the 2011 International Conference on Communication, 2011

2010

An Effective Method for Fingerprint Classification.

Monowar Hussain Bhuyan, Sarat Saharia, Dhruba K. Bhattacharyya

Int. Arab. J. e Technol., 2010