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Prezentare - Improving System Security with Big Data Techniques

Assistant Professor, PhD, Tudor Dumitras, Improving System Security with Big Data Techniques

 

March 24, 2014, 13:00, D21 Room


Abstract:

The security and reliability of deployed and actively used systems is a moving target, influenced by factors that are not captured in the existing security models and metrics. For example, we do not know which vulnerabilities are ultimately exploited in the field and for how long the end-hosts are susceptible to these exploits. My overall research goal is to address the questions of why computer systems fail or behave unpredictably, why they become unavailable to their users for extended periods of time, and why they fall victim to cyber attacks. In this talk, I will present our research on using Big Data techniques for understanding how security fails in the field. First, I will describe the WINE analytics platform that I built during my time in the industry, at Symantec Research Labs. WINE allows researchers to conduct experiments at scale and includes security telemetry collected by Symantec on 11 million hosts worldwide and updated continuously. Second, I will explain how we used WINE to show that zero-day attacks,which exploit software vulnerabilities before their public disclosure, go on undetected for 312 days on average. The duration of zero-day attacks had remained an open question for more than a decade because these attacks are rare events that are unlikely to be observed in honeypots or in lab experiments. We also showed that,after disclosure, the volume of attacks exploiting these vulnerabilities increases by up to 5 orders of magnitude and that the attacks continue for more than 4 years after the disclosure. Finally, I will discuss our ongoing empirical research into various security problems, and the implications of this research for public policy and future security technologies.

 

Personal outline:

Tudor Dumitras is an Assistant Professor in the Electrical & Computer Engineering Department at the University of Maryland, College Park. His research focuses on Big Data approaches to problems in system security and dependability. In his previous role at Symantec Research Labs he built the Worldwide Intelligence Network Environment (WINE) - a platform for experimenting with Big Data techniques. He received an Honorable Mention in the NSA competition for the Best Scientific Cybersecurity Paper of 2012. He also received the 2011 A. G. Jordan Award from the ECE Department at Carnegie Mellon University, the 2009 John Vlissides Award from ACM SIGPLAN, and the Best Paper Award at ASP-DAC'03. Tudor holds a Ph.D. degree from Carnegie Mellon University.


Prezentare 1.07.2016

Vineri  01.07.2016 de la ora 14.00 prezentare in Aula Domsa cu titlul : Self – driving Cars, tinuta de prof. Daniela Rus, director CSAIL MIT.

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