Demo Data from EDBT 2026 / reviewers in the wild / expert
Timm Lippert
dblp:294/8405
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2023
—ORCID · none
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.
| Network and information security
1 paper |
Cryptographic protocols and secure computation · 50% Authentication and access control · 50% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Authentication and access control
device pairing |
0.5 | 1 | 2021 | FastZIP: faster and more secure zero-interaction pairing · MobiSys 2021 |
Cryptographic protocols and secure computation › key exchange › authenticated key exchange
password-authenticated key exchange |
0.5 | 1 | 2021 | FastZIP: faster and more secure zero-interaction pairing · MobiSys 2021 |
Methods — techniques the papers use, named apart from their topics
sensor fusion · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Hardening and Speeding Up Zero-interaction Pairing and Authentication
Mikhail Fomichev, Timm Lippert, Matthias Hollick |
EWSN | 2 |
| 2021 | FastZIP: faster and more secure zero-interaction pairingabstractWith the advent of the Internet of Things (IoT), establishing a secure channel between smart devices becomes crucial. Recent research proposes zero-interaction pairing (ZIP), which enables pairing without user assistance by utilizing devices' physical context (e.g., ambient audio) to obtain a shared secret key. The state-of-the-art ZIP schemes suffer from three limitations: (1) prolonged pairing time (i.e., minutes or hours), (2) vulnerability to brute-force offline attacks on a shared key, and (3) susceptibility to attacks caused by predictable context (e.g., replay attack) because they rely on limited entropy of physical context to protect a shared key. We address these limitations, proposing FastZIP, a novel ZIP scheme that significantly reduces pairing time while preventing offline and predictable context attacks. In particular, we adapt a recently introduced Fuzzy Password-Authenticated Key Exchange (fPAKE) protocol and utilize sensor fusion, maximizing their advantages. We instantiate FastZIP for intra-car device pairing to demonstrate its feasibility and show how the design of FastZIP can be adapted to other ZIP use cases. We implement FastZIP and evaluate it by driving four cars for a total of 800 km. We achieve up to three times shorter pairing time compared to the state-of-the-art ZIP schemes while assuring robust security with adversarial error rates below 0.5%. Mikhail Fomichev, Julia Hesse, Lars Almon, Timm Lippert, Jun Han 0001, Matthias Hollick |
MobiSys | 4 |