Monowar Bhuyan

3.3k total citations · 1 hit paper
58 papers, 2.0k citations indexed

About

Monowar Bhuyan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Monowar Bhuyan has authored 58 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 37 papers in Artificial Intelligence and 20 papers in Signal Processing. Recurrent topics in Monowar Bhuyan's work include Network Security and Intrusion Detection (36 papers), Internet Traffic Analysis and Secure E-voting (22 papers) and Anomaly Detection Techniques and Applications (19 papers). Monowar Bhuyan is often cited by papers focused on Network Security and Intrusion Detection (36 papers), Internet Traffic Analysis and Secure E-voting (22 papers) and Anomaly Detection Techniques and Applications (19 papers). Monowar Bhuyan collaborates with scholars based in Sweden, India and United States. Monowar Bhuyan's co-authors include Dhruba K. Bhattacharyya, Jugal Kalita, Hirak J. Kashyap, Erik Elmroth, Nazrul Hoque, Youki Kadobayashi, Doudou Fall, Yuzo Taenaka, Shigeru Kashihara and Xuan-Son Vu and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Information Sciences.

In The Last Decade

Monowar Bhuyan

52 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Network Anomaly Detection: Methods, Systems and Tools

2013 874 citations Monowar Bhuyan, Dhruba K. Bhattacharyya et al. profile →

Peers

Monowar Bhuyan

CNC

AI

SP

IS

CSE

Gabriel Maciá‐Fernández Spain

Jesús E. Dı́az-Verdejo Spain

Pedro García‐Teodoro Spain

Hervé Debar France

Iman Sharafaldin Canada

Enrique Vázquez Spain

Ramin Sadre Belgium

Ikkyun Kim South Korea

Carol Fung United States

Srinivas Mukkamala United States

Gabriel Maciá‐Fernández Spain

Monowar Bhuyan

1.9k ×1.1

CNC

1.4k ×1.0

AI

896 ×1.0

SP

336 ×1.1

IS

268 ×1.5

CSE

Citations per year, relative to Monowar Bhuyan Monowar Bhuyan (= 1×) peers Gabriel Maciá‐Fernández

Countries citing papers authored by Monowar Bhuyan

Since Specialization

Citations

This map shows the geographic impact of Monowar Bhuyan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Monowar Bhuyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monowar Bhuyan more than expected).

Fields of papers citing papers by Monowar Bhuyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monowar Bhuyan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Monowar Bhuyan. The network helps show where Monowar Bhuyan may publish in the future.

Co-authorship network of co-authors of Monowar Bhuyan

This figure shows the co-authorship network connecting the top 25 collaborators of Monowar Bhuyan. A scholar is included among the top collaborators of Monowar Bhuyan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Monowar Bhuyan. Monowar Bhuyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Pokorny, Florian T., et al.. (2025). Federated Learning for Large-Scale Cloud Robotic Manipulation: Opportunities and Challenges. 254–261.

2.

Sahoo, Kshira Sagar, et al.. (2025). Toward Mitigation of Flow Table Modification Attacks in P4‐Based SDN Data Plane. Security and Privacy. 8(2).

3.

Bhoi, Sourav Kumar, et al.. (2024). Unveiling Sybil Attacks Using AI‐Driven Techniques in Software‐Defined Vehicular Networks. Security and Privacy. 8(1). 2 indexed citations

4.

Verma, Abhishek, et al.. (2024). FloRa: Flow Table Low-Rate Overflow Reconnaissance and Detection in SDN. IEEE Transactions on Network and Service Management. 21(6). 6670–6683. 8 indexed citations

5.

Mishra, Kaushik, Santosh Kumar Majhi, Kshira Sagar Sahoo, et al.. (2024). Collaborative Cloud Resource Management and Task Consolidation Using JAYA Variants. IEEE Transactions on Network and Service Management. 21(6). 6248–6259. 3 indexed citations

6.

Elmroth, Erik, et al.. (2024). Cost-Efficient Feature Selection for Horizontal Federated Learning. IEEE Transactions on Artificial Intelligence. 5(12). 6551–6565. 5 indexed citations

7.

Sahoo, Kshira Sagar, et al.. (2024). A combination learning framework to uncover cyber attacks in IoT networks. Internet of Things. 28. 101395–101395. 9 indexed citations

8.

Meuser, Tobias, Lauri Lovén, Monowar Bhuyan, et al.. (2024). Revisiting Edge AI: Opportunities and Challenges. IEEE Internet Computing. 28(4). 49–59. 26 indexed citations

9.

Sahoo, Kshira Sagar, et al.. (2024). Securing P4-SDN Data Plane against Flow Table Modification Attack. Zenodo (CERN European Organization for Nuclear Research). 1–5. 2 indexed citations

10.

Bhuyan, Monowar, et al.. (2023). Anomaly Detection and Resolution on the Edge: Solutions and Future Directions. 39. 227–238. 1 indexed citations

11.

Vu, Xuan-Son, et al.. (2022). Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds. IEEE Access. 10. 94677–94690. 11 indexed citations

12.

Tärneberg, William, Emma Fitzgerald, Monowar Bhuyan, et al.. (2022). The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges. Lund University Publications (Lund University). 1–5. 5 indexed citations

13.

Bhuyan, Monowar, et al.. (2021). DeL-IoT: A deep ensemble learning approach to uncover anomalies in IoT. Internet of Things. 14. 100391–100391. 56 indexed citations

14.

Bhuyan, Monowar, et al.. (2021). Detection of VSI-DDoS Attacks on the Edge: A Sequential Modeling Approach. 1–10. 7 indexed citations

15.

Bhuyan, Monowar, et al.. (2016). Rank Correlation for Low-Rate DDoS Attack Detection: An Empirical Evaluation. International journal of network security. 18. 474–480. 14 indexed citations

16.

Bhuyan, Monowar, Dhruba K. Bhattacharyya, & Jugal Kalita. (2015). Towards Generating Real-life Datasets for Network Intrusion Detection.. International journal of network security. 17. 683–701. 84 indexed citations

17.

Bhuyan, Monowar, Dhruba K. Bhattacharyya, & Jugal Kalita. (2014). TOWARDS AN UNSUPERVISED METHOD FOR NETWORK ANOMALY DETECTION IN LARGE DATASETS. Computing and Informatics / Computers and Artificial Intelligence. 33(1). 1–34. 11 indexed citations

18.

Bhuyan, Monowar, Dhruba K. Bhattacharyya, & Jugal Kalita. (2014). An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection. Pattern Recognition Letters. 51. 1–7. 145 indexed citations

19.

Bhuyan, Monowar, et al.. (2012). AOCD: An Adaptive Outlier Based Coordinated Scan Detection Approach. International journal of network security. 14. 339–351. 14 indexed citations

20.

Bhuyan, Monowar, et al.. (2010). An Effective Method for Fingerprint Classification. 1. 89–97. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact