“Analyst-driven solutions” rely on rules created by living experts and miss attacks that don’t match the rules. Machine-learning approaches rely on “anomaly detection,” which triggers false positives needing investigation by humans.
At the Association for Computing Machinery Symposium on Operating Systems Principles in October, a team of MIT researchers presented a new, untraceable text-messaging system designed to thwart even the most powerful of adversaries.
In recent months, government officials in the United States, the United Kingdom, and other countries have made repeated calls for law-enforcement agencies to be able to access, upon due authorization, encrypted data to help them solve crimes.
Recognizing the importance of a more integrated approach to combating data breaches and security failures, MIT publicly launched three new MIT research efforts aimed at addressing the technical, regulatory and managerial aspects of cyber security.