Jesús E. Dı́az-Verdejo

3.3k total citations · 1 hit paper
51 papers, 2.2k citations indexed

About

Jesús E. Dı́az-Verdejo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Jesús E. Dı́az-Verdejo has authored 51 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 40 papers in Computer Networks and Communications and 19 papers in Signal Processing. Recurrent topics in Jesús E. Dı́az-Verdejo's work include Network Security and Intrusion Detection (38 papers), Internet Traffic Analysis and Secure E-voting (29 papers) and Advanced Malware Detection Techniques (14 papers). Jesús E. Dı́az-Verdejo is often cited by papers focused on Network Security and Intrusion Detection (38 papers), Internet Traffic Analysis and Secure E-voting (29 papers) and Advanced Malware Detection Techniques (14 papers). Jesús E. Dı́az-Verdejo collaborates with scholars based in Spain, Lebanon and Mexico. Jesús E. Dı́az-Verdejo's co-authors include Pedro García‐Teodoro, Gabriel Maciá‐Fernández, Enrique Vázquez, Juan Tapiador, Rafael Estepa, Antonio Estepa, José Camacho, Rafael A. Rodríguez‐Gómez, Antonio J. Rubio and Pablo Padilla and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Wireless Communications.

In The Last Decade

Jesús E. Dı́az-Verdejo

49 papers receiving 2.0k 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.

Anomaly-based network intrusion detection: Techniques, systems and challenges

2008 1.3k citations Pedro García‐Teodoro, Jesús E. Dı́az-Verdejo et al. Computers & Security profile →

Peers

Jesús E. Dı́az-Verdejo

CNC

AI

SP

IS

CSE

Gabriel Maciá‐Fernández Spain

Pedro García‐Teodoro Spain

Hervé Debar France

Monowar Bhuyan Sweden

Enrique Vázquez Spain

Joshua Haines United States

Mário Lemes Proença Brazil

Iman Sharafaldin Canada

Robin Sommer United States

Mahbod Tavallaee Canada

Gabriel Maciá‐Fernández Spain

Jesús E. Dı́az-Verdejo

1.9k ×1.0

CNC

1.4k ×0.9

AI

896 ×1.0

SP

336 ×1.0

IS

268 ×1.3

CSE

Citations per year, relative to Jesús E. Dı́az-Verdejo Jesús E. Dı́az-Verdejo (= 1×) peers Gabriel Maciá‐Fernández

Countries citing papers authored by Jesús E. Dı́az-Verdejo

Since Specialization

Citations

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

Fields of papers citing papers by Jesús E. Dı́az-Verdejo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesús E. Dı́az-Verdejo. 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 Jesús E. Dı́az-Verdejo. The network helps show where Jesús E. Dı́az-Verdejo may publish in the future.

Co-authorship network of co-authors of Jesús E. Dı́az-Verdejo

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

All Works

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20 of 20 papers shown

1.

Dı́az-Verdejo, Jesús E., et al.. (2025). Building a large, realistic and labeled HTTP URI dataset for anomaly-based intrusion detection systems: Biblio-US17. Cybersecurity. 8(1).

2.

Dı́az-Verdejo, Jesús E., et al.. (2024). InspectorLog: A New Tool for Offline Attack Detection over Web Log Trace Files. 692–697. 1 indexed citations

3.

Estepa, Rafael, et al.. (2024). A Flexible Multilevel System for Mitre ATT&CK Model-driven Alerts and Events Correlation in Cyberattacks Detection. JUCS - Journal of Universal Computer Science. 30(9). 1184–1204.

4.

Maciá‐Fernández, Gabriel, et al.. (2018). Fusing information from tickets and alerts to improve the incident resolution process. Information Fusion. 45. 38–52. 5 indexed citations

5.

García‐Teodoro, Pedro, et al.. (2015). Automatic generation of HTTP intrusion signatures by selective identification of anomalies. Computers & Security. 55. 159–174. 18 indexed citations

6.

Dı́az-Verdejo, Jesús E., et al.. (2014). A multilevel taxonomy and requirements for an optimal traffic‐classification model. International Journal of Network Management. 24(2). 101–120. 45 indexed citations

7.

Dı́az-Verdejo, Jesús E., et al.. (2012). Segmental parameterisation and statistical modelling of e-mail headers for spam detection. Information Sciences. 195. 45–61. 13 indexed citations

8.

Dı́az-Verdejo, Jesús E., et al.. (2011). On the Performance of OpenDPI in Identifying P2P Truncated Flows. 79–84. 2 indexed citations

9.

Camacho, José, et al.. (2011). Pair-wise similarity criteria for flows identification in P2P/non-P2P traffic classification. 59–64. 2 indexed citations

10.

Maciá‐Fernández, Gabriel, Rafael A. Rodríguez‐Gómez, & Jesús E. Dı́az-Verdejo. (2010). Defense techniques for low-rate DoS attacks against application servers. Computer Networks. 54(15). 2711–2727. 41 indexed citations

11.

Camacho, José, et al.. (2010). Least-squares approximation of a space distribution for a given covariance and latent sub-space. Chemometrics and Intelligent Laboratory Systems. 105(2). 171–180. 12 indexed citations

12.

Maciá‐Fernández, Gabriel, Jesús E. Dı́az-Verdejo, & Pedro García‐Teodoro. (2009). Mathematical Model for Low-Rate DoS Attacks Against Application Servers. IEEE Transactions on Information Forensics and Security. 4(3). 519–529. 61 indexed citations

13.

Dı́az-Verdejo, Jesús E., et al.. (2009). Anomaly Detection in P2P Networks Using Markov Modelling. 1. 156–159. 3 indexed citations

14.

Maciá‐Fernández, Gabriel, Jesús E. Dı́az-Verdejo, & Pedro García‐Teodoro. (2008). Evaluation of a low-rate DoS attack against application servers. Computers & Security. 27(7-8). 335–354. 26 indexed citations

15.

Dı́az-Verdejo, Jesús E., et al.. (2005). Aplicación de técnicas de agrupamiento a la detección de intrusiones en red mediante N3. 2 indexed citations

16.

García‐Teodoro, Pedro, et al.. (2004). Anomaly detection methods in wired networks: a survey and taxonomy. Computer Communications. 27(16). 1569–1584. 14 indexed citations

17.

Tapiador, Juan, Pedro García‐Teodoro, & Jesús E. Dı́az-Verdejo. (2004). Anomaly detection methods in wired networks: a survey and taxonomy. Computer Communications. 27(16). 1569–1584. 117 indexed citations

18.

Tapiador, Juan, Pedro García‐Teodoro, & Jesús E. Dı́az-Verdejo. (2003). Stochastic protocol modeling for anomaly based network intrusion detection. 3–12. 32 indexed citations

19.

López-Cózar, Ramón, Antonio J. Rubio, Jesús E. Dı́az-Verdejo, & Ángel de la Torre. (2000). Evaluation of a Dialogue System Based on a Generic Model that Combines Robust Speech Understanding and Mixed-initiative Control. Language Resources and Evaluation. 13 indexed citations

20.

Benı́tez, Carmen, Antonio J. Rubio, Pedro García‐Teodoro, & Jesús E. Dı́az-Verdejo. (1998). Word verification using confidence measures in speech recognition. Conference of the International Speech Communication Association. paper 1082–0. 4 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.

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