Award Abstract # 1419856
SBE: Small: Collaborative: Modeling Insider Threat Behavior in Financial Institutions: Large Scale Data Analysis

NSF Org: SES
Division of Social and Economic Sciences
Recipient: THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK
Initial Amendment Date: August 1, 2014
Latest Amendment Date: November 2, 2015
Award Number: 1419856
Award Instrument: Standard Grant
Program Manager: Sara Kiesler
skiesler@nsf.gov
 (703)292-8643
SES
 Division of Social and Economic Sciences
SBE
 Directorate for Social, Behavioral and Economic Sciences
Start Date: August 15, 2014
End Date: March 31, 2017 (Estimated)
Total Intended Award Amount: $342,285.00
Total Awarded Amount to Date: $342,285.00
Funds Obligated to Date: FY 2014 = $159,532.00
History of Investigator:
  • Raghav Rao (Principal Investigator)
    hr.rao@utsa.edu
  • Kumar Korni (Co-Principal Investigator)
  • Melchor DeGuzman (Co-Principal Investigator)
Recipient Sponsored Research Office: SUNY at Buffalo
520 LEE ENTRANCE STE 211
AMHERST
NY  US  14228-2577
(716)645-2634
Sponsor Congressional District: 26
Primary Place of Performance: SUNY at Buffalo
NY  US  14260-5000
Primary Place of Performance
Congressional District:
26
Unique Entity Identifier (UEI): LMCJKRFW5R81
Parent UEI: GMZUKXFDJMA9
NSF Program(s): Secure &Trustworthy Cyberspace
Primary Program Source: 01001415DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7434, 7923
Program Element Code(s): 806000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.075

ABSTRACT

Insiders pose substantial threats to an organization, regardless of whether they act intentionally or accidentally. Because they usually possess elevated privileges and have skills, knowledge, resources, access and motives regarding internal systems and data, insiders can easily circumvent security countermeasures, steal valuable data, and cause damage. Perimeter and host-based countermeasures like firewalls, intrusion detection systems, and antivirus software are ineffective in preventing and detecting insider threats. Despite the availability of abundant anecdotal information regarding insider threats, research relying on field data to advance understanding of such threats is still lacking. This proposal presents a theoretically driven approach to investigate the risk of insider threat within financial institutions. It will utilize large scale field data from two financial institutions to provide comparison and improve the generalizability of results.

Intellectual Merit: The proposed research will use criminology theories and extend them to the domain of insider threat. It will use both objective log data from the enterprise single sign-on (eSSO) systems and subjective data through surveys and focus groups to understand perceptual characteristics of applications as well as perceptions of employees regarding attractiveness of targets. Thus, this research will be among the first that takes both the technical and human aspects into consideration in investigating victimization risk and attack proneness associated with information assets within financial institutions. In essence, the proposed study will utilize multi methods and multi-source data to establish how information resources can be better protected from misuse and abuse of access privileges. The study will initiate a new perspective for analyzing existing behavioral log data to improve the practice of risk management, which may have a transformative impact in terms of mitigating risks from different user groups and informing interventions to deal with the insider threat problem.

Broader Impact: This multi-disciplinary collaborative project will deepen understanding of insider threat behavior in the context of financial institutions. A PhD student will be funded at each university and the research will result in a few Masters' independent studies in this area as well. The findings of this proposal will be disseminated among the law enforcement task forces, as well as banking organizations. The channels to be employed include workshops with the local InfraGuard program in collaboration with the regional FBI office. The outcomes of the proposal will not only provide an applied understanding of insider threat, but also important implications for risk management applications. It is important to note that the President's Critical Infrastructure Protection Board identified the banking and finance sector as one of the critical infrastructures to be secured. This proposal will help in this regard by having an impact on public policy with respect to regulations for financial institutions. The potential reduction in financial crime as a result would have significant societal benefits.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Jingguo Wang, Manish Gupta, and H. Raghav Rao "Insider Threats in a Financial Institution: Analysis of Attack-Proneness of Information Systems Applications" MIS Quarterly , v.39 , 2015 , p.91
Jingguo Wang, Manish Gupta, H. R. Rao "Insider Threats in a Financial Institution: Analysis of Attack-Proneness of Information Systems Applications" MIS Quarterly , v.39 , 2015 , p.91

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