The present computerized world is consistently developing, with new applications, projects and savvy gadgets that permit individuals to make installments or buys with the bit of a catch. Definitely, this development prompts an exponential increment in cyberattacks, PC based weaknesses and different dangers.
Associations depend vigorously on cybersecurity groups to watch and secure their computerized foundation. Most as of late, there has been a mechanical move to man-made brainpower (AI) and AI. These frameworks and calculations are being viewed as potential answers for current cybersecurity challenges.
To more readily set up the future digital workforce, a multidisciplinary group of three specialists from the College of Engineering and Computing is contemplating the adequacy of coordinating AI methods into existing cybersecurity educational plans through a $300,000 National Science Foundation (NSF) Early Concept Grants for Exploratory Research (EAGER) grant.
Monique Ross, right hand educator at the School of Computing and Information Sciences (SCIS); Mark A. Finlayson, partner teacher at SCIS; and Selcuk Uluagac, partner educator at the School of Electrical, Computer and Enterprise Engineering, are consolidating their assorted aptitude to contribute toward cybersecurity training and its exploration network, with a crucial widening cooperation of underrepresented bunches in the fields of AI and cybersecurity.
Ross, the primary examiner on the award, discloses there are difficulties to motivating understudies to seek after a profession in AI or cybersecurity.