Basil AsSadhan

666 total citations
34 papers, 451 citations indexed

About

Basil AsSadhan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Basil AsSadhan has authored 34 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 26 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Basil AsSadhan's work include Network Security and Intrusion Detection (23 papers), Internet Traffic Analysis and Secure E-voting (14 papers) and Anomaly Detection Techniques and Applications (9 papers). Basil AsSadhan is often cited by papers focused on Network Security and Intrusion Detection (23 papers), Internet Traffic Analysis and Secure E-voting (14 papers) and Anomaly Detection Techniques and Applications (9 papers). Basil AsSadhan collaborates with scholars based in Saudi Arabia, United Kingdom and United States. Basil AsSadhan's co-authors include Sangarapillai Lambotharan, José M. F. Moura, Hamad Binsalleeh, Ibrahim Ghafir, Konstantinos G. Kyriakopoulos, Gan Zheng, David Lapsley, Francisco J. Aparicio‐Navarro, Saleh A. Alshebeili and Jalal Al‐Muhtadi and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Applied Sciences.

In The Last Decade

Basil AsSadhan

33 papers receiving 428 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Basil AsSadhan Saudi Arabia 14 317 284 173 99 45 34 451
Carlos Catania Argentina 9 340 1.1× 311 1.1× 186 1.1× 60 0.6× 19 0.4× 30 436
Yulai Xie China 13 329 1.0× 174 0.6× 129 0.7× 168 1.7× 41 0.9× 28 498
Gabi Dreo Rodosek Germany 11 330 1.0× 149 0.5× 94 0.5× 132 1.3× 68 1.5× 82 462
Eduardo K. Viegas Brazil 13 458 1.4× 355 1.3× 289 1.7× 92 0.9× 32 0.7× 58 591
Cherita Corbett United States 12 513 1.6× 441 1.6× 299 1.7× 167 1.7× 99 2.2× 27 710
Dongsheng Yang China 10 223 0.7× 162 0.6× 90 0.5× 59 0.6× 24 0.5× 38 369
Lanier Watkins United States 10 254 0.8× 199 0.7× 105 0.6× 87 0.9× 90 2.0× 58 445
Youngsoo Kim South Korea 13 377 1.2× 180 0.6× 194 1.1× 109 1.1× 86 1.9× 41 500
Hooman Alavizadeh Australia 11 372 1.2× 183 0.6× 203 1.2× 170 1.7× 36 0.8× 21 506
Francisco J. Aparicio‐Navarro United Kingdom 12 469 1.5× 243 0.9× 282 1.6× 183 1.8× 91 2.0× 27 572

Countries citing papers authored by Basil AsSadhan

Since Specialization
Citations

This map shows the geographic impact of Basil AsSadhan'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 Basil AsSadhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basil AsSadhan more than expected).

Fields of papers citing papers by Basil AsSadhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Basil AsSadhan. 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 Basil AsSadhan. The network helps show where Basil AsSadhan may publish in the future.

Co-authorship network of co-authors of Basil AsSadhan

This figure shows the co-authorship network connecting the top 25 collaborators of Basil AsSadhan. A scholar is included among the top collaborators of Basil AsSadhan 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 Basil AsSadhan. Basil AsSadhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
AsSadhan, Basil, et al.. (2024). Enhancing Explanation of LSTM-Based DDoS Attack Classification Using SHAP With Pattern Dependency. IEEE Access. 12. 90707–90725. 6 indexed citations
2.
Binsalleeh, Hamad, et al.. (2023). An Explanation of the LSTM Model Used for DDoS Attacks Classification. Applied Sciences. 13(15). 8820–8820. 10 indexed citations
3.
Lambotharan, Sangarapillai, et al.. (2020). Machine Learning Aided Blockchain Assisted Framework for Wireless Networks. IEEE Network. 34(5). 262–268. 7 indexed citations
4.
AsSadhan, Basil, et al.. (2020). Network anomaly detection using a cross‐correlation‐based long‐range dependence analysis. International Journal of Network Management. 30(6). 2 indexed citations
5.
Chen, Gaojie, et al.. (2020). Trusted UAV Network Coverage Using Blockchain, Machine Learning, and Auction Mechanisms. IEEE Access. 8. 118219–118234. 31 indexed citations
6.
AsSadhan, Basil, et al.. (2020). A robust anomaly detection method using a constant false alarm rate approach. Multimedia Tools and Applications. 79(17-18). 12727–12750. 6 indexed citations
7.
AsSadhan, Basil, et al.. (2019). Anomaly Detection Using Dynamic Time Warping. 193–198. 28 indexed citations
8.
Zhang, Yuan, Qinghai Yang, Sangarapillai Lambotharan, et al.. (2019). Anomaly-Based Network Intrusion Detection Using SVM. 1–6. 20 indexed citations
9.
Ghafir, Ibrahim, Konstantinos G. Kyriakopoulos, Sangarapillai Lambotharan, et al.. (2019). Hidden Markov Models and Alert Correlations for the Prediction of Advanced Persistent Threats. IEEE Access. 7. 99508–99520. 56 indexed citations
10.
AsSadhan, Basil, Khan Zeb, Jalal Al‐Muhtadi, & Saleh A. Alshebeili. (2017). Anomaly Detection Based on LRD Behavior Analysis of Decomposed Control and Data Planes Network Traffic Using SOSS and FARIMA Models. IEEE Access. 5. 13501–13519. 23 indexed citations
11.
Zeb, Khan, Basil AsSadhan, Jalal Al‐Muhtadi, & Saleh A. Alshebeili. (2016). Anomaly detection using Wavelet-based estimation of LRD in packet and byte count of control traffic. 116. 316–321. 1 indexed citations
12.
Zeb, Khan, et al.. (2014). Volume based anomaly detection using LRD analysis of decomposed network traffic. 148. 52–57. 7 indexed citations
13.
AsSadhan, Basil & José M. F. Moura. (2013). An efficient method to detect periodic behavior in botnet traffic by analyzing control plane traffic. Journal of Advanced Research. 5(4). 435–448. 29 indexed citations
14.
AsSadhan, Basil, et al.. (2013). Constant false alarm rate anomaly-based approach for network intrusion detection. 18. 141–145. 2 indexed citations
15.
Al‐Ammar, Essam A., et al.. (2011). Comparative study of various security algorithms used in smart meters. 2. 1–5. 1 indexed citations
16.
AsSadhan, Basil, José M. F. Moura, David Lapsley, Christine E. Jones, & W. Timothy Strayer. (2009). Detecting Botnets Using Command and Control Traffic. 156–162. 35 indexed citations
17.
AsSadhan, Basil, José M. F. Moura, & David Lapsley. (2009). Periodic Behavior in Botnet Command and Control Channels Traffic. 1–6. 23 indexed citations
18.
AsSadhan, Basil. (2009). Network traffic analysis through statistical signal processing methods. 4 indexed citations
19.
AsSadhan, Basil, et al.. (2008). Network traffic behavior analysis by decomposition into control and data planes. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1–8. 13 indexed citations
20.
AsSadhan, Basil, et al.. (2006). <title>Comparative evaluation of different classifiers for robust distorted-character recognition</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6067. 60670O–60670O.

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.

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