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The funding supports efforts to advance a randomized testing technique known as “fuzzing,” making it easier to write, debug, and reason about software and its specifications.

Andreea Alexandru’s research involves privacy-preserving protocols with applications in cyber-physical systems and machine learning.

The two-year fellowships offer an opportunity to work closely with MC2 faculty and graduate students in multiple areas of cybersecurity and privacy.

The initiative's goal is to create a robust and accessible pool of qualified cyber professionals that can assist CYBERCOM in its mission of defending critical U.S. information networks.

MC2 researchers have been recognized for their analysis of malware behavior in the first large-scale study of its kind.

The papers cover hot topics like key management for cryptocurrencies, post-quantum cryptography, fuzzy message detection and more.

The researchers were recognized for a paper that uncovered a unique form of distributed denial-of-service attack that can be used for internet censorship.

She now leads numerous successful programs and partnerships established by the center’s prior directors, and is developing new ideas and initiatives of her own.

The study examines how sex workers—who tend to have especially salient security and privacy risks—conceptualize and manage their digital safety across multiple devices.

The team used artificial intelligence algorithms to uncover a distinctive form of DDoS attacks—known as non-trivial TCP-based amplification attacks—on a scale that hasn't been seen before.