John Ross Wallrabenstein Email & Phone Number

West Lafayette, In, Us

Wilmington, Ma, Us

Principal Engineer in the Digital Strategy division at Analog Devices (joining ADI through the acquisition of Sypris Electronics).

Tampa, Fl, Us

Served as Chief Scientist throughout the acquisition of Sypris Electronics by Analog Devices. The technical diligence focused heavily on the SiOMetrics patent portfolio, and was a primary factor in ADI's decision to acquire Sypris Electronics. The former Information Security Solutions division at Sypris Electronics is now ADI's Trusted Security Solutions division.

Tampa, Fl, Us

Developed a breakthrough approach leveraging physical unclonable functions (PUFs) to construct keyless cryptography, where the private key is never constructed, regenerated, or stored: it never exists at any point in time on the device. The solution solves major challenges in deploying hardware intrinsic identity in practice, including resistance to side-channel attacks and long-term hardware aging. The result represents a substantial improvement for Sypris' SiOMetrics technology offering.

Tampa, Fl, Us

Research focusing on the design and implementation of SiOMetrics technology, which provides intrinsic hardware identity. SiOMetrics, from silicon biometrics, provides the hardware equivalent of human biometrics. Developed a theoretical solution applying cryptography and physical unclonable functions to provide intrinsic hardware identity, and transitioned the solution to practice on commercial-off-the-shelf FPGAs. Lead the transition of the prototype construction, based on the discrete logarithm problem, to a production ready product using elliptic curve cryptography. The research has resulted in numerous first-inventor pending and issued patents.

West Lafayette, In, Us

Research in Rational Cryptography, Game Theory and Secure Multi-Party Computation. The key focus of the Ph.D. dissertation is the application of game theoretic notions to the design and analysis of cryptographic protocols. Modeling players as rational agents provides a realistic gradient between the overly optimistic semi-honest model (where adversarial players must abide by the protocol rules) and the overly pessimistic malicious model (where adversarial players deviate arbitrarily, without regard to whether or not doing so is beneficial). Key contributions include the construction of an incentive-compatible market (solving an open problem in game theory), and a formal game theoretic model for reasoning about the security of cryptographic protocols in real world settings.

West Lafayette, In, Us

Recitation Instructor for CS 180: Programming II. Taught two sections of the Java-based programming course. Key topics included multithreaded programming, asymptotic analysis of algorithms and graphical user interface design. Awarded both the ACM and the Raymond Boyce Graduate Teaching Award for excellence in teaching and mentorship.

Albuquerque, Nm, Us

Adversarial Machine Learning under Dr. Eugene Vorobeychik. Developed a novel algorithmic approach for reasoning about operational decisions in adversarial environments where resources are constrained. The solution relied heavily on a game theoretic analysis of the interaction, which was modeled as a Stackelberg game. The key novelty of the solution is the separation of classification from inspection, as resources to inspect events are constrained by a budget.

Exton, Pa, Us

U.S. Patent 20130173917: Secure Search and Retrieval. Designed and implemented a secure patent search algorithm, allowing the patent database owner to maintain database privacy while simultaneously preserving patent database query privacy. The solution employed a novel application of the ElGamal cryptosystem, resulting in an issued patent.

Doctor Of Philosophy (Ph.D.), Computer Science

M.S., Computer Science

B.S. (Cum Laude), Computer Science