CICI: CE: Enhancing Cybersecurity for Broadening Data-Driven Research and Partnerships
Principal Investigator: Sonia Fahmy
As computational and data-driven modeling is leveraged in most disciplines, security of campus cyberinfrastructure is becoming increasingly important not only to protect intellectual property, but also to secure a competitive advantage. Growth in facilities and projects funded by industrial partners and US government agencies creates new requirements for information security and assurance. Designed for open science, the Purdue campus cyberinfrastructure does not currently have infrastructure in place to support the wide variety of security requirements stemming from the growing volume of aerospace, defense, and industrial projects. This rapid pace of expanding partnerships has outpaced the campus cybersecurity framework, limiting the opportunities for researchers and students. This project brings together engineering and research teams to develop a cyber attack detection and response capability for the Purdue University campus research network.
The project enhances the Purdue campus network to develop a security-assured research network infrastructure, and deploys novel adaptive monitoring tools as part of the campus cyberinfrastructure. Enhanced campus cyberinfrastructure empowers domain scientists to conduct research with heightened security requirements. The project also provides cybersecurity researchers with production network traffic data to develop and evaluate adaptive intrusion detection and response and flow-level anomaly detection. The proposed research will reduce the overhead of network security mechanisms, and improve their effectiveness, agility, and scalability. The project supports cybersecurity education and training by engaging students in deployment and operation of networking hardware and software. It provides students with a unique opportunity to apply their conceptual knowledge to practical situations and better prepares them to be part of the future workforce in cybersecurity. The highly interdisciplinary project team consists of security, networking and data science researchers, cybersecurity educators, campus IT professionals and the engineering community.
Other PIs: Bruno Ribeiro, Xiao Zhu, Busiime Ida Ngambeki, Nicole Key
Keywords: intrusion detection, Network Security