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Cody Arvonen

dblp:376/6637 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0009-1950-3963ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless networking · 87% Internet of things and sensor networks · 13%
Network and information security
1 paper
Network security · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › WLAN
IEEE 802.11
0.812024
Wireless Latency Shift Keying · MobiCom 2024
Wireless networking
wireless network protocols
0.812024
Wireless Latency Shift Keying · MobiCom 2024
Internet of things and sensor networks
wireless sensor
0.212024
Wireless Latency Shift Keying · MobiCom 2024

Methods — techniques the papers use, named apart from their topics

latency shift keying · 1.5
YearPublicationVenuePosition
2024 Wireless Latency Shift Keying
abstract
IEEE 802.11 (WiFi) only has two modes of trust---complete trust or complete untrust. The lack of nuance leaves no room for sensors that a user does not fully trust but wants to connect to their network, such as a WiFi sensor. Solutions exist, but they require advanced knowledge of network administration. We solve this problem by introducing a new way of modulating data in the latency of the network, called Latency Shift Keying. We use specific characteristics of the WiFi protocol to carefully control the latency of just one device on the network. We build a transmitter, receiver, and modulation scheme that is designed to encode data in the latency of a network. We develop an application, Wicket, that solves the WiFi trust issue using Latency Shift Keying to create a new security association between an untrusted WiFi sensor and a wired device on the trusted network. We evaluate its performance and show that it works in many network conditions and environments.
Jacob C. Johnson, Ashton Palacios, Cody Arvonen, Philip Lundrigan
MobiCom3