CORE

This research project develops new hardware designs and implementations for a class of post-quantum secure cryptographic (PQC) algorithms. While today's algorithms used for public key cryptography, e.g. the RSA algorithm, or digital signatures are vulnerable to being broken through "cryptanalysis" using quantum computers, PQC algorithms offer protections from such cryptanalysis as they cannot be broken on a quantum computer.

As novel technologies collect increasingly large and diverse amounts of data about us, people are unable to keep up and retain control over what happens to their data. The current legal approach to privacy concentrates on the concept of "Notice and Choice", namely the expectation that people are provided sufficient information about the collection and use of their data, and are offered meaningful choices about these practices (e.g., opt out, opt in). A primary element of this approach relies on privacy policies to communicate this information to people.

As novel technologies collect increasingly large and diverse amounts of data about us, people are unable to keep up and retain control over what happens to their data. The current legal approach to privacy concentrates on the concept of "Notice and Choice", namely the expectation that people are provided sufficient information about the collection and use of their data, and are offered meaningful choices about these practices (e.g., opt out, opt in). A primary element of this approach relies on privacy policies to communicate this information to people.

Encryption is the process of encoding data into a ciphertext such that only the intended recipient can decode and learn the data. This project pushes the frontiers of what is achievable for encryption. The project's novelties are building encryption systems with advanced capabilities that have provable security under standard assumptions. These include the capability to trace malicious users who leak confidential information as well as the ability to only release select pieces of information to users on a need to know basis.

Since their inception a decade ago, smartphones have become the pillars of our digital life, storing security-sensitive information ranging from medical and banking data to our entire electronic communication history. Due to our increasing reliance on mobile applications in daily life, there has been a steady increase in both the number and sophistication of mobile malware samples. This project's impacts are to make it easier for users and organizations to identify malicious applications and thereby prevent people from around the globe from becoming victims of mobile malware.