High-Memory Workstations in Support of DoD-Sponsored Cyber-Socio Research

Abstract

Dr. Paulo ShakarianÕs Cyber-Socio Intelligent Systems (CySIS) Lab specializes in the development of artificial intelligence-based systems that address significant challenges in the areas of social network research and cyber-security. Past efforts by Dr. Shakarian funded by ARO, USAF A2, DARPA, and OSD resulted in successful applications of logic programming, data mining, and game theory to several military-relevant applications within these areas. These efforts were conducted while Dr. Shakarian was faculty at West Point Ð hence all equipment purchases under these past awards reside with that institution. Recently, Dr. Shakarian has won four awards Ð three from DoD sources and a fourth internally funded by Arizona State Ð that are in need of additional workstations for graduate student use. The DoD-sponsored efforts include an ARO single-investigator award to study social influence, an AFOSR Young Investigator Award that to study the inhibition of information cascades, and an ONR award to study cyber-attribution. These efforts leverage logic programming, data mining, and argumentation respectively. Additionally, the fourth effort, internally funded by Arizona State, is combining game theory and data mining to aide in the defense against cyber-attackers who leverage zero-day exploits purchased on the dark web. This effort was funded by Arizona State in order to develop defense-relevant research capabilities. This fourth effort is particularly relevant to AROÕs portfolio as it will bridge ShakarianÕs research efforts in both cyber-security and social networks. None of these efforts included high-end workstations in the budgets Ð causing current CySISinternal assets to become a bottleneck in ongoing research efforts. Therefore, four Dell Precision high-memory systems are requested Ð one for each effort. These systems feature an Intel Xeon processor and include 512 GB of RAM each. The total cost is near the minimum amount specified in the DURIP announcement.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 11, 2018
Source ID
W911NF1610207

Entities

People

  • Paulo Shakarian

Organizations

  • Arizona State University
  • Army Contracting Command
  • United States Army

Tags

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Cyber