We are proud to announce the confirmed speakers of DBSec 2019:

Monday July 15, 2019

Amit Sheth

LexisNexis Ohio Eminent Scholar
Executive Director, Kno.e.sis
Wright State University

Title: Understanding Online Socials Harm: Examples of Harassment and Radicalization

Abstract: As social media permeates our daily life, there has been a sharp rise in the misuse of social media affecting our society in large. Specifically, harassment and radicalization have become two major problems on social media platforms with significant implications on the well-being of individuals as well as communities. A 2017 Pew Research survey on online harassment found that 66% of adult Internet users have observed online harassment and 41% have personally experienced it. Nearly 18% of Americans have faced severe forms of harassment online such as physical threats, harassment over a sustained period, sexual harassment or stalking. Moreover, malicious organizations (e.g., terrorist groups, white nationalists not classified legally as terrorists but as a group with extreme ideology) have been using social media for sharing their propaganda and misinformation to persuade individuals and eventually recruit them to propagate their ideology. These communications related to harassment and radicalization are complex concerning their language and contextual characteristics, making recognition of such narratives challenging for researchers as well as social media companies. As most of the existing approaches fail to capture fundamental nuances in the language of these communications, two prominent challenges have emerged: ambiguity and sparsity. Sole data level bottom-up analysis has been unsuccessful in revealing the actual meaning of the content. Considering the significant sensitivity of these problems and its implications at individual and community levels, a potential solution requires reliable algorithms for modeling such communications.

Our approach to understanding communications between source and target requires deciphering the unique language, semantic and contextual characteristics, including sentiment, emotion, and intention. This context-aware and knowledge-enhanced computational approach to the analysis of these narratives breaks down this long-running and complex process into contextual building blocks that acknowledge inherent ambiguity and sparsity. Based on prior empirical and qualitative research in social sciences, particularly cognitive psychology, and political science, we model this process using a combination of contextual dimensions -- e.g., for Islamist radicalization: religion, ideology, and hate -- each elucidating a degree of radicalization and highlighting independent features to render them computationally accessible.

Bio: Amit Sheth is the LexisNexis Ohio Eminent Scholar/Executive Director of Kno.e.sis at Wright State University. Starting Fall 2019, he will be the founding director of University of South Carolina's university-wide Artificial Intelligence Institute. He is a fellow of IEEE, AAAI, and AAAS. His current research themes at the intersection of Big Data and AI include physical-cyber-social big data; semantic-cognitive--perceptual computing; knowledge infused learning; and augmented personalized health. More

Tuesday July 16, 2019

Sushil Jajodia

University Professor, BDM International Professor of Information Technology, and Director.
Center for Secure Information Systems Volgenau School of Engineering
George Mason University Fairfax

Title: Theory and Models for Cyber Situational Awareness

Abstract: Today, when a security incident happens, the top three questions a cyber operation center would ask are: What has happened? Why did it happen? What should I do? Answers to the first two questions form the core of cyber situation awareness (SA). Whether the last question can be satisfactorily addressed is largely dependent on the cyber SA capability of an enterprise. This talk will cover mathematical models, scalable methods, and automated tools that attempt to efficiently answer the first two questions.

Bio: Sushil Jajodia is University Professor, BDM International Professor, and the founding director of Center for Secure Information Systems in the Volgenau School of Engineering. He is also the founding site director of the NSF IUCRC Center for Configuration Analytics and Automation at Mason. His research interests include security, privacy, databases, and distributed systems. His current research sponsors are the U.S. Army Research Office (ARO), the U.S. Office of Naval Research (ONR), The U.S. National Security Administration (NSA), The National Science Foundation (NSF), the National Institute of Standards and Technology (NIST), Northrop Grumman, and The MITRE Corporation. He was recognized for the most accepted papers at the 30th anniversary of the IEEE Symposium on Security and Privacy. His h-index is 86 and Erdos number is 2; both indicate of broad citation in scholarly publishing. He is the founding consulting editor of the Springer International Series on Advances in Information Security and SpringerBriefs in Computer Science. He has served in different capacities for various journals and conferences. Sushil Jajodia has supervised 27 doctoral dissertations. More