Abstract
Existing methods to prevent phishing attacks in enterprise environments typically rely on employees being vigilant with regard to email and/or internet use. However, as employees juggle to work on multiple priorities, sometimes they fall prey to targeted phishing attacks. Presented herein are techniques through which data can be pulled from multiple sources and analyzed using AI/ML techniques in order to predict potential phishing attacks for users across multiple mediums.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Abburi, Vinay Kumar and Orr, Stephen M., "APPLICATION OF AI/ML TECHNIQUES TO CREATE CONFIDENCE/TRUST SCORE TO PROTECT USERS AGAINST PHISHING ATTACKS", Technical Disclosure Commons, (March 24, 2023)
https://www.tdcommons.org/dpubs_series/5756