Cybersecurity

Overview

The Cybersecurity group at Oregon State develops tools and techniques to protect sensitive data and infrastructure against malicious attacks. We study problems that arise as a result of computation and storage in hostile environments. Our work includes adversarial threat modeling, design of novel protection mechanisms, and analysis of their guarantees.

Our faculty members have specific expertise spanning from foundations of cryptography to network security to cyber-physical and IoT system security. For example, we are actively developing techniques for performing computations (database search, data mining) on information while it remains in encrypted form; and strategies to detect and mitigate cyber-attacks on power grids and other infrastructure.

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Two faculty members talking to each other in a room with servers.
The age of Big Data and cloud computing has created greater demand for advanced cryptography. To store data on the cloud safely it must be encrypted; in order to use the data it needs to be decrypted, at which point it becomes vulnerable to attacks. In this podcast, learn how professors Mike Rosulek and Attila Yavuz are finding new ways to perform operations on encrypted data without leaking critical information.

Sub Areas

  • Theoretical & Applied Cryptography
  • Network Security
  • Security in Outsourced Cloud Settings
  • Privacy Enhancing Technologies
  • Computing on Encrypted Data
  • Cyber-physical Systems Security
  • IoT & Distributed Systems Security
  • Authentication and Integrity in Critical Systems
  • Trustworthy Machine Learning

Related Courses

  • CS 175: Communications Security & Social Movements
  • CS 370: Introduction to Security
  • CS 373: Defense Against the Dark Arts
  • CS 419/519: Cyber Attacks and Defenses
  • CS 427: Cryptography
  • CS/ECE478: Network Security
  • CS 519: Cryptographic Protocols
  • CS 519: Advanced Systems Security
  • CS 578: Cyber-Security
  • CS 599: Physical Attacks and Countermeasures
  • CS 499/599: Trustworthy Machine Learning (Previously, Machine Learning Security)