Dr. Gabriel Weaver, Dr. Yardley, and Dr. Emmerich have developed a cyber and physical disruption model for electrical power grid operations that allows stakeholders in the...
Dr. Gabriel Weaver, Dr. Yardley, and Dr. Emmerich have developed a cyber and physical disruption model for electrical power grid operations that allows stakeholders in the industry to anticipate, prepare, and avoid damages from various different disruptive events. This model has been improved with fundamental changes to the cyber layer of the pipeline, allowing for a more diverse cyber layer that is nourished by data collected from DARPA RADICS exercises for cyberattacks against the electrical power grid. This diverse cyber layer is now able to apply information diffusion processes running on real-world communications networks under baseline and disrupted conditions to explicitly represent communications network topologies and associated information diffusion processes across each layer in the network stack. The result of this technology is a brand-new solution for stakeholders in assessing critical infrastructure risks in the electrical power grid sector.
The Domain Name System (DNS) introduced in 1985 has been a security risk because it allowed internet users' online browsing activities to be tracked and analyzed. Despite...
The Domain Name System (DNS) introduced in 1985 has been a security risk because it allowed internet users' online browsing activities to be tracked and analyzed. Despite many protocols developed to encrypt DNS for the protection of user privacy, websites visited by users can still be identified with high accuracy based on gathered traffic pattern information.
The invention here is an algorithm that incorporates a novel obfuscation method to websites, as demonstrated, encrypted with a DNS-over-HTTPS protocol.
This new algorithm/method reduces the accuracy of traffic analysis from 97% to 7-9%.
Inventors from the University of Illinois and University of Massachusetts at Amherst have developed a novel way of storing data using chemically modified nucleotides...
Inventors from the University of Illinois and University of Massachusetts at Amherst have developed a novel way of storing data using chemically modified nucleotides combined with DNA base pairs. This system of DNA-based storage creates a novel eleven letter alphabet with room for even more letters that allows for a nearly two-fold increase in the storage density of molecular recorders. Furthermore, the inventors have also developed a novel neural network architecture that sequences these alphabets and constructs with an extremely large accuracy. This entire technology drastically improves upon current DNA-based storage systems and provides them with new directions in molecular storage and computing that have the potential to resolve important cost and implementation issues the industry faces today.
