Award Abstract # 1822150
Phase II IUCRC University of North Carolina Charlotte: Center for Cybersecurity Analytics and Automation CCAA

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
Initial Amendment Date: August 24, 2018
Latest Amendment Date: March 5, 2024
Award Number: 1822150
Award Instrument: Continuing Grant
Program Manager: Mohan Kumar
mokumar@nsf.gov
 (703)292-7408
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: September 1, 2018
End Date: August 31, 2024 (Estimated)
Total Intended Award Amount: $642,182.00
Total Awarded Amount to Date: $514,111.00
Funds Obligated to Date: FY 2018 = $128,714.00
FY 2020 = $128,178.00

FY 2021 = $129,055.00

FY 2022 = $128,164.00
History of Investigator:
  • Heather Lipford (Principal Investigator)
    Heather.Lipford@uncc.edu
  • Cori Faklaris (Co-Principal Investigator)
  • Ehab Al-Shaer (Former Principal Investigator)
  • Bei-Tseng Chu (Former Co-Principal Investigator)
  • Bojan Cukic (Former Co-Principal Investigator)
Recipient Sponsored Research Office: University of North Carolina at Charlotte
9201 UNIVERSITY CITY BLVD
CHARLOTTE
NC  US  28223-0001
(704)687-1888
Sponsor Congressional District: 12
Primary Place of Performance: UNC Charlotte
9201 University City Blvd.
Charlotte
NC  US  28223-0001
Primary Place of Performance
Congressional District:
12
Unique Entity Identifier (UEI): JB33DT84JNA5
Parent UEI: NEYCH3CVBTR6
NSF Program(s): IUCRC-Indust-Univ Coop Res Ctr
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
01001920DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

01002324DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 5761
Program Element Code(s): 576100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

With the increasing magnitude and sophistication of cyber attacks, cyber warfare has become a major threat to national security. However, the cybersecurity state of the art is still far from providing sufficient protection, not only for Internet enterprise services but also for critical infrastructure services, such as in the financial and energy sectors. With the exponential increase of attack surface and the complete reliance on human analysis and response, the time for detection and mitigation of cyber attacks have been significantly increasing (e.g., can take up to several months). In addition, the cost of deploying cybersecurity has been tremendously increasing as it is becoming very resource and labor intensive.

The University of North Carolina Charlotte (UNC Charlotte) is leading the research and industry community in NSF IUCRC Center on Cybersecurity Analytics and Automation (CCAA) to address these challenges. Our goal is to build the critical mass of inter-disciplinary academic researchers, industry partners, and government agencies for advancing the science and state-of-the-art of cybersecurity analytics and automation by developing innovative sense-making and decision-making capabilities for autonomous and adaptive cyber defense that requires minimal human involvement with provable and measurable security and resiliency properties. We consider both formal- and data-driven analytics of cybersecurity artifacts for seamlessly integrating sense-making and decision-making for adaptive and autonomous cyber defense.

CCAA brings together experts in formal and data-driven cybersecurity to advance cyber defense on multiple fronts, namely, (a) developing dynamic and predictive cyber risk analytics using heterogeneous cyber artifacts, (b) developing adaptive and autonomic decision-making for provably correct and safe defense strategies according to the mission requirements, and system configurations and (c) integrating cyber resilience and agility as inherent properties of cyber and cyber-physical system security. The UNC Charlotte site will lead the research and management activities and provides profound technical contributions to CCAA in formal methods for configuration verification, automated risk quantification and mitigation, adaptive learning, cyber threat analytics, and cyber agility.

The Center will create and maintain a center-wide repository to make all products of the research ? datasets, code, tools, experimental results, draft manuscripts, etc. ? available to all Center?s members. The repository will be accessible through the Center?s website (http://www.ccaa-nsf.org/). Consistently with the Center?s bylaws and with any applicable NSF or individual universities? requirements, several of these products will be made available to the broader research and industry community. The repository will be actively maintained during the duration of the Phase II effort, and it can be accessed online.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Tabassum, Sarah and Faklaris, Cori and Lipford, Heather Richter "What Drives SMiShing Susceptibility? A U.S. Interview Study of How and Why Mobile Phone Users Judge Text Messages to be Real or Fake" , 2024 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The Center for Cybersecurity Analytics and Automation (CCAA) was established to advance the state of cybersecurity research, with the goal of addressing critical challenges in cyber defense. CCAA brought together experts from academia, industry, and government to develop novel techniques for securing computer systems, networks, and software.

Intellectual Merit

 CCAA’s research has significantly contributed to the understanding and mitigation of modern cybersecurity threats. Key research outcomes from the project include:

1. Understanding of vulnerability mitigation practices in organizations, including the identification of key areas for improvement. Strong vulnerability practices include team leadership and incentives emphasizing security, dedicated team members focused on vulnerability detection, and training customized to the development environment of the team.

2. Identification of factors related to why consumers fall for SMS text scams, known as SMS phishing. Our findings indicate that participants focus more on the content, format, and links in SMS rather than the sender’s short code, phone number, or email address. We suggest design changes to enhance user awareness and resilience against SMS phishing.

Broader Impacts

 The broader impacts of CCAA’s work extend beyond academic and technical contributions. Several key outcomes demonstrate the societal and practical benefits of the project:

1. Workforce Development: The project provided numerous training opportunities for students, exposing them to real-world cybersecurity challenges. Through hands-on experience with cutting-edge research, CCAA helped prepare the next generation of cybersecurity professionals.

2. Industry Collaboration: CCAA worked closely with industry partners to ensure that its research addressed real-world cybersecurity problems. By engaging with its Industry Advisory Board, the center facilitated the transition of research into practice.

3. Raising Cybersecurity Awareness: By disseminating its results through publications, presentations, and public tools, CCAA has helped raise awareness about the importance of cybersecurity and proactive defense measures. The center’s work has influenced both policy and practice in critical sectors.

 


Last Modified: 12/30/2024
Modified by: Heather R Lipford

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