AVOID: Automatic Verification Of Internet Data-paths

Department of Defense (DOD) use of commercial networks entails unprecedented reliance on untrusted third-party communications infrastructure, and the associated risk of exposing DOD communications to an adversary. Traversing adversary-controlled infrastructure allows DOD’s adversaries to recognize, disrupt, or extract intelligence even from encrypted communications. The resulting arms race of obfuscation vs intelligence techniques is inherently limited: with each new obfuscation, DOD can never know if it fools the adversary, or if the adversary is lulling DOD into a false sense of security.

Authors

Institutions

Publication Details

Published
2024-10-28
DOI
https://doi.org/10.1109/milcom61039.2024.10773840
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AVOID: Automatic Verification Of Internet Data-paths

Matthew Luckie, Bradley Huffaker, Lincoln Thurlow, Erik Kline et al.
Network Security and Intrusion Detection
article

AVOID: Automatic Verification Of Internet Data-paths

Matthew Luckie, Bradley Huffaker, Lincoln Thurlow, Erik Kline, Kyle Jamieson, Alexander Marder, kc claffy, Jon Larrea
article en

Abstract

Department of Defense (DOD) use of commercial networks entails unprecedented reliance on untrusted third-party communications infrastructure, and the associated risk of exposing DOD communications to an adversary. Traversing adversary-controlled infrastructure allows DOD’s adversaries to recognize, disrupt, or extract intelligence even from encrypted communications. The resulting arms race of obfuscation vs intelligence techniques is inherently limited: with each new obfuscation, DOD can never know if it fools the adversary, or if the adversary is lulling DOD into a false sense of security.

Johns Hopkins University (US), Princeton University (US), Integrated Systems Incorporation (United States) (US)
Reduced inequalities
Openalex Percentile: Top 75%
Network Security and Intrusion Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AVOID: Automatic Verification Of Internet Data-paths — Matthew Luckie, Bradley Huffaker, et al. · (2024) | TGRS Research Map | TGRS