Helping companies prioritize their cybersecurity investments
By securely aggregating sensitive data from cyber-attacks, the SCRAM platform from MIT CSAIL can quantify an organization’s level of security and suggest what to prioritize.
By securely aggregating sensitive data from cyber-attacks, the SCRAM platform from MIT CSAIL can quantify an organization’s level of security and suggest what to prioritize.
Approach for generating numbers at random may help analyses of complex systems, from Earth’s climate to financial markets.
Smith spoke with CSAIL Director Daniela Rus as part of a special series co-presented by the MIT Schwarzman College of Computing.
A system that enables smartphones to transmit “chirps” to nearby devices could notify people if they have been near an infected person.
MIT cryptography expert and election technology developer explains how to verify an election outcome.
System ensures hackers eavesdropping on large networks can’t find out who’s communicating and when they’re doing so.
PatternEx merges human and machine expertise to spot and respond to hacks.
Tiny, battery-free ID chip can authenticate nearly any product to help combat losses to counterfeiting.
Mobile voting application could allow hackers to alter individual votes and may pose privacy issues for users.
Routing scheme boosts efficiency in networks that help speed up blockchain transactions.
Two staff members from Lincoln Laboratory and a professor in the School of Engineering are recognized for their influential research.
Modeling web traffic could aid cybersecurity, computing infrastructure design, Internet policy, and more.
Model from the Computer Science and Artificial Intelligence Laboratory identifies “serial hijackers” of internet IP addresses.
Study offers models for preserving the privacy of citizens while using their data to improve government services.
Professor Adam Chlipala builds tools to help programmers more quickly generate optimized, secure code.