An Effective Method for Fingerprint Classification. - Monowar Hussain Bhuyan; Sarat Saharia; Dhruba K. Bhattacharyya (Int. Arab. J. e Technol., 2010)

NADO: network anomaly detection using outlier approach. - Monowar H. Bhuyan; D. K. Bhattacharyya; Jugal K. Kalita (ICCCS, 2011)

Surveying Port Scans and Their Detection Methodologies. - Monowar H. Bhuyan; D. K. Bhattacharyya; Jugal K. Kalita (Comput. J., 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)

Packet and Flow Based Network Intrusion Dataset. - Prasanta Gogoi; Monowar H. Bhuyan; D. K. Bhattacharyya; Jugal K. Kalita (IC3, 2012)

An effective unsupervised network anomaly detection method. - Monowar H. Bhuyan; D. K. Bhattacharyya; Jugal K. Kalita (ICACCI, 2012)

An Effective Fingerprint Classification and Search Method - Monowar H. Bhuyan; D. K. Bhattacharyya (CoRR, 2012)

AOCD: An Adaptive Outlier Based Coordinated Scan Detection Approach. - Monowar H. Bhuyan; Dhruba K. Bhattacharyya; Jugal K. Kalita (Int. J. Netw. Secur., 2012)

Information metrics for low-rate DDoS attack detection: A comparative evaluation. - Monowar H. Bhuyan; D. K. Bhattacharyya; Jugal K. Kalita (IC3, 2014)

Towards an Unsupervised Method for Network Anomaly Detection in Large Datasets. - Monowar Hussain Bhuyan; Dhruba K. Bhattacharyya; Jugal K. Kalita (Comput. Informatics, 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)

Network Anomaly Detection: Methods, Systems and Tools. - Monowar H. Bhuyan; D. K. Bhattacharyya; Jugal K. Kalita (IEEE Commun. Surv. Tutorials, 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)

Towards Generating Real-life Datasets for Network Intrusion Detection. - Monowar H. Bhuyan; Dhruba K. Bhattacharyya; Jugal K. Kalita (Int. J. Netw. Secur., 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)

BRC-KEP: A secure biometric and reversible CA based 2-party key exchange protocol. - S. Choudhury; A. Kalwar; A. Goswami; Monowar H. Bhuyan (IC3, 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)

A multi-step outlier-based anomaly detection approach to network-wide traffic. - Monowar H. Bhuyan; D. K. Bhattacharyya; Jugal K. Kalita (Inf. Sci., 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)

Network Traffic Anomaly Detection and Prevention - Concepts, Techniques, and Tools - Monowar H. Bhuyan; Dhruba K. Bhattacharyya; Jugal K. Kalita (Springer, 2017)

Multi-scale Low-Rate DDoS Attack Detection Using the Generalized Total Variation Metric. - Monowar H. Bhuyan; Erik Elmroth (ICMLA, 2018)

Information-Theoretic Ensemble Learning for DDoS Detection with Adaptive Boosting. - Monowar H. Bhuyan; Maode Ma; Youki Kadobayashi; Erik Elmroth (ICTAI, 2019)

Adversarial Impact on Anomaly Detection in Cloud Datacenters. - Pratyush Kr. Deka; Monowar H. Bhuyan; Youki Kadobayashi; Erik Elmroth (PRDC, 2019)

SURE-H: A Secure IoT Enabled Smart Home System. - Roshmi Sarmah; Manasjyoti Bhuyan; Monowar H. Bhuyan (WF-IoT, 2019)

Multi-diseases Classification from Chest-X-ray: A Federated Deep Learning Approach. - Sourasekhar Banerjee; Rajiv Misra; Mukesh Prasad; Erik Elmroth; Monowar H. Bhuyan (Australasian Conference on Artificial Intelligence, 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 (ICONIP (5), 2020)

Boosted Ensemble Learning for Anomaly Detection in 5G RAN. - Tobias Sundqvist; Monowar H. Bhuyan; Johan Forsman; Erik Elmroth (AIAI (1), 2020)

SDN-Enabled IoT Anomaly Detection Using Ensemble Learning. - Enkhtur Tsogbaatar; Monowar H. Bhuyan; Yuzo Taenaka; Doudou Fall; Gonchigsumlaa Khishigjargal; Erik Elmroth; Youki Kadobayashi (AIAI (2), 2020)

End-to-End Analysis for Text Detection and Recognition in Natural Scene Images. - Ahlam Alnefaie; Deepak Gupta 004; Monowar H. Bhuyan; Imran Razzak; Prashant Gupta; Mukesh Prasad (IJCNN, 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)

Detection of VSI-DDoS Attacks on the Edge: A Sequential Modeling Approach. - Javad Forough; Monowar H. Bhuyan; Erik Elmroth (ARES, 2021)

Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling. - Arezoo Hatefi; Xuan-Son Vu; Monowar H. Bhuyan; Frank Drewes (CIKM, 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 (FiCloud, 2021)

Fed-FiS: a Novel Information-Theoretic Federated Feature Selection for Learning Stability. - Sourasekhar Banerjee; Erik Elmroth; Monowar H. Bhuyan (ICONIP (5), 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 (IEA/AIE (1), 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)

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 (6GNet, 2022)

Unsupervised root-cause identification of software bugs in 5G RAN. - Tobias Sundqvist; Monowar H. Bhuyan; Erik Elmroth (CCNC, 2022)

Uncovering latency anomalies in 5G RAN - A combination learner approach. - Tobias Sundqvist; Monowar H. Bhuyan; Erik Elmroth (COMSNETS, 2022)

DELA: A Deep Ensemble Learning Approach for Cross-layer VSI-DDoS Detection on the Edge. - Javad Forough; Monowar H. Bhuyan; Erik Elmroth (ICDCS, 2022)

Argumentation-Based Adversarial Regression with Multiple Learners. - Monowar H. Bhuyan; Juan Carlos Nieves (ICTAI, 2022)

Optimized and Adaptive Federated Learning for Straggler-Resilient Device Selection. - Sourasekhar Banerjee; Xuan-Son Vu; Monowar H. Bhuyan (IJCNN, 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)

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)

Combining Block Bootstrap with Exponential Smoothing for Reinforcing Non-Emergency Urban Service Prediction. - Kshira Sagar Sahoo; Shivam Krishana; Monowar H. Bhuyan (IEEE Big Data, 2023)

Bottleneck identification and failure prevention with procedural learning in 5G RAN. - Tobias Sundqvist; Monowar H. Bhuyan; Erik Elmroth (CCGrid, 2023)

Towards a Workload Mapping Model for Tuning Backing Services in Cloud Systems. - Gaurav Kumar; Kshira Sagar Sahoo; Monowar H. Bhuyan (DEXA (1), 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; et al. (EDGE, 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 (ICDCN, 2023)

ADCluster: Adaptive Deep Clustering for Unsupervised Learning from Unlabeled Documents. - Arezoo Hatefi; Xuan-Son Vu; Monowar H. Bhuyan; Frank Drewes (ICNLSP, 2023)

Few-Shot Anomaly Detection in Text with Deviation Learning. - Anindya Sundar Das 002; Aravind Ajay; Sriparna Saha 001; Monowar H. Bhuyan (ICONIP (2), 2023)

Anomaly Detection and Resolution on the Edge: Solutions and Future Directions. - Javad Forough; Monowar H. Bhuyan; Erik Elmroth (SOSE, 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 (TrustCom, 2023)

Unified Identification of Anomalies on the Edge: A Hybrid Sequential PGM Approach. - Javad Forough; Monowar H. Bhuyan; Erik Elmroth (TrustCom, 2023)

Few-shot Anomaly Detection in Text with Deviation Learning. - Anindya Sundar Das 002; Aravind Ajay; Sriparna Saha 002; Monowar H. Bhuyan (CoRR, 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., 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., 2023)

Enhancing Machine Learning Performance in Dynamic Cloud Environments with Auto-Adaptive Models. - Chanh Nguyen 001; Monowar H. Bhuyan; Erik Elmroth (CloudCom, 2024)

Towards Designing an Energy Efficient Accelerated Sparse Convolutional Neural Network. - Vijaypal Singh Rathor; Munesh Singh; Rahul Gupta; G. K. Sharma 001; Kshira Sagar Sahoo; Monowar H. Bhuyan (ICTAI, 2024)

Securing P4-SDN Data Plane against Flow Table Modification Attack. - Buchammagari Avinash Reddy; Kshira Sagar Sahoo; Monowar H. Bhuyan (NOMS, 2024)

Efficient Anomaly Detection for Edge Clouds: Mitigating Data and Resource Constraints. - Javad Forough; Hamed Haddadi; Monowar H. Bhuyan; Erik Elmroth (IEEE Access, 2024)

Wave2Graph: Integrating spectral features and correlations for graph-based learning in sound waves. - Van-Truong Hoang; Khanh-Tung Tran; Xuan-Son Vu; Duy-Khuong Nguyen; Monowar H. Bhuyan; Hoang D. Nguyen (AI Open, 2024)

Personalized Multi-tier Federated Learning. - Sourasekhar Banerjee; Ali Dadras; Alp Yurtsever; Monowar H. Bhuyan (CoRR, 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 001; Eyal de Lara; Aaron Yi Ding; Janick Edinger; James Gross; et al. (IEEE Internet Comput., 2024)

A combination learning framework to uncover cyber attacks in IoT networks. - Arati Behera; Kshira Sagar Sahoo; Tapas Kumar Mishra 002; Monowar H. Bhuyan (Internet Things, 2024)

Robust Procedural Learning for Anomaly Detection and Observability in 5G RAN. - Tobias Sundqvist; Monowar H. Bhuyan; Erik Elmroth (IEEE Trans. Netw. Serv. Manag., 2024)

Cost-Efficient Feature Selection for Horizontal Federated Learning. - Sourasekhar Banerjee; Devvjiit Bhuyan; Erik Elmroth; Monowar H. Bhuyan (IEEE Trans. Artif. Intell., 2024)

Collaborative Cloud Resource Management and Task Consolidation Using JAYA Variants. - Kaushik Mishra; Santosh Kumar Majhi; Kshira Sagar Sahoo; Sourav Kumar Bhoi; Monowar H. Bhuyan; Amir H. Gandomi (IEEE Trans. Netw. Serv. Manag., 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 (IEEE Trans. Netw. Serv. Manag., 2024)

Towards Adaptive Rule Replacement for Mitigating Inference Attacks in Serverless SDN Framework. - Ankur Mudgal; Munesh Singh; Abhishek Verma; Kshira Sagar Sahoo; Paul Townend; Monowar H. Bhuyan (NOMS, 2025)

Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination. - Anindya Sundar Das 002; Guansong Pang; Monowar H. Bhuyan (WACV, 2025)

Predicting Event Memorability Using Personalized Federated Learning. - Sourasekhar Banerjee; Debaditya Roy; Vigneshwaran Subbaraju; Monowar H. Bhuyan (WACV, 2025)

Unveiling Sybil Attacks Using AI-Driven Techniques in Software-Defined Vehicular Networks. - Rajendra Prasad Nayak; Sourav Kumar Bhoi; Kshira Sagar Sahoo; Srinivas Sethi; Subasish Mohapatra; Monowar H. Bhuyan (Secur. Priv., 2025)

Toward Mitigation of Flow Table Modification Attacks in P4-Based SDN Data Plane. - Buchammagari Avinash Reddy; Kshira Sagar Sahoo; Monowar H. Bhuyan (Secur. Priv., 2025)

One-Shot Federated Learning with Classifier-Free Diffusion Models. - Obaidullah Zaland; Shutong Jin; Florian T. Pokorny; Monowar H. Bhuyan (CoRR, 2025)

The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification. - Arezoo Hatefi; Xuan-Son Vu; Monowar H. Bhuyan; Frank Drewes (CoRR, 2025)

Silent Failures in Stateless Systems: Rethinking Anomaly Detection for Serverless Computing. - Chanh Nguyen 001; Erik Elmroth; Monowar H. Bhuyan (CoRR, 2025)

MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping. - Obaidullah Zaland; Erik Elmroth; Monowar H. Bhuyan (CoRR, 2025)

Federated Learning for Large-Scale Cloud Robotic Manipulation: Opportunities and Challenges. - Obaidullah Zaland; Chanh Nguyen 001; Florian T. Pokorny; Monowar H. Bhuyan (CoRR, 2025)