Pablo Moriano

Pablo Moriano

Ph.D. candidate in Informatics
School of Informatics, Computing, and Engineering
Indiana University Bloomington
pmoriano [at]  

I am a Ph.D. candidate in Informatics and received a M.S. in Informatics in the School of Informatics, Computing, and Engineering at Indiana University Bloomington. Previously, I obtained a B.S. and M.S. degrees in Electrical Engineering at Pontificia Universidad Javeriana in Colombia. I am a recipient of the best paper award at the 9th International Workshop on Managing Insider Security Threats in conjuntion with the ACM Conference on Computer and Communications Security (CCS). In the past, I have done research internships at Cisco Systems, Inc. with the Advanced Security Research Group. Here is a link to an official bio and my CV.

My research lies at the intersection of data science and computer security. In particular, I leverage data-driven and analytical techniques to discover and understand critical security issues in large-scale networked systems. I rely on this approach to design and develop innovative solutions to address these. Applications of my research range across multiple disciplines, including, the detection of exceptional events in social media, Internet route hijaking, and insider threat behavior in user-system interactions. Here is a word cloud built out of the abstracts of my papers.

Event Detection
Event detection

We propose a method for detecting large events based on the structure of temporal communication networks. We hypothesize that global events trigger viral information cascades that easily cross community boundaries and can thus be detected by monitoring intra- and inter-community communications. By comparing the amount of communication within and across communities, we show that it is possible to detect events, even when they do not trigger a significantly larger communication volume.

Insider Threat
Insider threat

We propose an unsupervised learning framework to evaluate whether potential insider threat events are triggered following precipitating events. The analysis leverages a bipartite graph of user and system interactions. The approach shows a clear correlation between precipitating events and the number of apparent anomalies. The results of our empirical analysis show a clear shift in behaviors after events which have previously been shown to increase insider activity, specifically precipitating events.

Macroeconomics of Routing Anomalies
Macro BGP anomalies

We analyzed reported routing anomalies and macroeconomic indicators over a four-year period. There are well-documented hijacks resulting from errors, for profit, or for national security and national intelligence purposes. Any individual hijack could be an accident, a crime, or an attack. We report on an empirical investigation into the macroeconomics of routing anomalies that addresses these three explanations.

  1. Community-Based Event Detection in Temporal Networks
    Pablo Moriano, Jorge Finke, and Yong-Yeol Ahn
    Scientific Reports, March 2019.

  2. Stopping the Insider at the Gates: Protecting Organizational Assets Through Graph Mining
    Pablo Moriano, Jared Pendleton, Steven Rich, and L. Jean Camp
    JoWUA, March 2018.

  3. Insider Threat Event Detection in User-System Interactions
    Pablo Moriano, Jared Pendleton, Steven Rich, and L. Jean Camp
    MIST, October 2017. Best paper award.

  4. Incompetents, Criminals, or Spies: Macroeconomic Analysis of Routing Anomalies
    Pablo Moriano, Soumya Achar, and L. Jean Camp
    Computers & Security, September 2017.

  5. Factors in an End User Security Expertise Instrument
    Prashant Rajivan, Pablo Moriano, Timothy Kelley, and L. Jean Camp
    Information and Computer Security, June 2017.

  6. What Can Johnny Do? - Factors in an End-User Expertise Instrument
    Prashanth Rajivan, Pablo Moriano, Timothy Kelley, and L. Jean Camp
    HAISA, July 2016.

  7. Model-Based Fraud Detection in Growing Networks
    Pablo Moriano and Jorge Finke
    CDC, December 2014.

  8. Dissemination of Scholarly Literature in Social Media
    Pablo Moriano, Emilio Ferrara, Alessandro Flammini, and Filippo Menczer
    WebSci Altmetrics, June 2014.

  9. Characterizing the Relationship Between Degree Distributions and Community Structures
    Pablo Moriano and Jorge Finke
    ACC, June 2014.

  10. On the Formation of Structure in Growing Networks
    Pablo Moriano and Jorge Finke
    JSTAT, June 2013.

  11. Structure of Growing Networks With no Preferential Attachment
    Pablo Moriano and Jorge Finke
    ACC, June 2013.

  12. Power-Law Weighted Networks from Local Attachments
    Pablo Moriano and Jorge Finke
    EPL, July 2012.

  13. Modelado y Control de un Nuevo Sistema Bola Viga con Levitación Magnética
    Pablo Moriano and Freddy Naranjo
    RIAI, May 2012.

  14. Heavy-Tailed Weighted Networks From Local Attachment Strategies
    Pablo Moriano and Jorge Finke
    CDC-ECC, December 2011.

Journal Referee

Technical Program Committees

School of Informatics, Computing, and Engineering
Informatics West, Room 233
901 E. 10th Street
Bloomington, IN 47408
(812) 856-3960