Hitchhiker’s Guide to Quantum Key Distribution (2021)

By Vaibhav Garg & Tony Tauber, Comcast Cable; Walter Krawec, University of Connecticut; Pete Quesada, Comcast Innovation Labs; Aman Satija, Purdue University

Quantum Key Distribution or QKD offers a quantum safe mechanism to establish an encrypted and authenticated communications channel. QKD is theoretically secure against a computationally unbounded adversary; this contrasts with classical key distribution systems where security is contingent on the assumptions made about the computational capacity of the adversary. These systems are being deployed in operational test environments across the globe. Most commercial systems require expensive proprietary technology, where the marginal cost of deployment is proportional to the capital investment. This means that the cost of adding an additional user is proportional to the cost of the original system. Thus, some experts have argued that the security assurance of QKD systems is not adequate to justify a transition from current approaches, other than for niche or otherwise narrow use cases. This paper provides an overview of current QKD systems, provides insight into the economics of deployment, and discusses the potential for commercial applications.

By clicking the "Download Paper" button, you are agreeing to our terms and conditions.

Similar Papers

Navigating the Transition to a Post-Quantum World
By Chujiao Ma & Vaibhav Garg, Comcast Cable
Key Learnings from Comcast’s Use of Open Source Software in the Access Network
By Louis Donofrio & Qin Zang, Comcast Cable; Vignesh Ramamurthy, Infosys Consulting
Hidden Risk of Unpopularity in Open Source
By Chujiao Ma & Vaibhav Garg, Comcast Cable
Two Years Of Deploying ITV/EBIF Applications – Comcast’s Lessons Learned
By Robert Dandrea, Ph.D., Comcast Cable
Augmented Reality for Network Visualization
By Joshua Seiden & Nishesh Shukla, Comcast Innovation Labs
Enabling Encryption and Algorithm Revocation for Post-Quantum DOCSIS Certificates
By Dr. Massimiliano Pala, Cable Television Laboratories, Inc.
Verification of Electrical Grounds/Bonds Using Computer Vision
By Shawn Kercher & Jacob Hallberg, Comcast Innovation Labs
Designing Video Services for Low-Latency Distributions in IPTV Cable Systems
By Yasser Syed & Alex Giladi, Comcast Cable; Ali C. Begen, Ozyegin University
Machine Learning Techniques for Equalizing Nonlinear Distortion
By Rob Thompson, Comcast; Xiaohua Li, State University of New York at Binghamton
DOCSIS PKI: A Proposal for a Next-Generation Quantum-Resistant Infrastructure
By Massimiliano Pala, CableLabs
More Results >>