The scale of data theft is staggering. In 2018, data breaches compromised 450 million records, while 2019 has already uncovered the biggest data breach in history, with nearly 773 million passwords and email addresses stolen from thousands of sources and uploaded to one database.
Current cyber defense tactics simply aren’t enough, a new model of defense is needed. In research published recently in Future Generations Computer Systems, my co-researchers and I propose a framework harnessing the power of machine learning to accurately predict attacks and identify perpetrators.