THIS IS A CONTINUATION OF N00014-11-1-0885 -Indelible Security for Cyber-Physical Systems
Abstract
Statement of Work: The following tasks will be accomplished : Physics-based security for computing and sensing devices. Assess the ability to measure the unique properties of a device using inexpensive and technologically widely available measurement techniques, and the number of those measurable properties. Physics-based security for the smart multi-channel communication devices. Integrate the hardware timed signatures(that can be computed very fast and effectively within the time-bound) to simultaneously perform the authentication. Physics-based security for the cyber-physical systems (CPS). Introduce a novel class of generic CPS optimization algorithms, called physical cross validations, that can be effectively applied on the distributed bounded times and distances to address a variety of data integrity problems in CPS. Objective: Develop new physics-based security concepts, protection, and attack safeguards for sensing and computing devices, smart multi-channel radios, and cooperating networked objects. Approach: The research plan is divided into three separate but inter-related thrusts: (1) Physics-based security for the computing and sensing devices integrates the concept of the unique objects and time-bounding physical unclonable functions (PUFs); (2) Physics-based security for the smart multi-channel communication devices, investigates distancebounding, time-bounding integrated with the embedded PUF, and multi-channel signaling. Particularly important tasks that will be considered are remote live/kill switches enabled by integration of radio signaling and timed PUFs; and (3) Physics-based security for a CPS consisting of several embedded systems with multichannel radios and timed PUFs by protocols based on spatial and temporal properties. The new concepts and methods will be experimentally tested and analytically/statistically verified. Overall Merit and ONR Mission/Relevance: The proposed effort contributes to the Navy?s fundamental toolset for addressing difficult security and vulnerability problems at the intersection of computational and Cyber spaces, which could be applied across a wide range of C4ISR systems. Progress: Progress is satisfactory. Developed scalable solutions that are efficiently implemented in research areas of privacy preserving computing, and iterative learning of massive datasets. Results demonstrated (up to) orders of magnitude efficiency compared with the earlier techniques. Proposed a novel method for Yao s privacy-preserving computing which introduces a paradigm shift in terms of compactness and scalability in compilation and execution of garbled circuits. On benchmark designs, the PI achieved about 7 orders of magnitude efficiency in terms of memory footprint and about 4 times efficiency in memory bandwidth compared with the state-of-the-art. PI now working on providing privacy preserving solutions for machine learning applications. PI published four papers related to PECASE grant.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 10, 2016
- Source ID
- N000141612205
Entities
People
- Farinaz Koushanfar
Organizations
- Office of Naval Research
- Rice University
- United States Navy