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Vivek Bhupatiraju

dblp:225/9592 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Security and privacy · 1

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 · 87% Web and mobile security · 13%

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

TopicWeightPapersLastEvidence papers
Cryptographic protocols and secure computation
authenticated data structure
0.412019
Transparency Logs via Append-Only Authenticated Dictionaries · CCS 2019
Cryptographic protocols and secure computation › authenticated data structure
transparency log
0.412019
Transparency Logs via Append-Only Authenticated Dictionaries · CCS 2019
Web and mobile security › web PKI
certificate transparency
0.112019
Transparency Logs via Append-Only Authenticated Dictionaries · CCS 2019

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

cryptographic proofs · 0.4authenticated dictionaries · 0.4
YearPublicationVenuePosition
2019 Transparency Logs via Append-Only Authenticated Dictionaries
abstract
Transparency logs allow users to audit a potentially malicious service, paving the way towards a more accountable Internet. For example, Certificate Transparency (CT) enables domain owners to audit Certificate Authorities (CAs) and detect impersonation attacks. Yet, to achieve their full potential, transparency logs must be bandwidth-efficient when queried by users. Specifically, everyone should be able to efficientlylook up log entries by their keyand efficiently verify that the log remainsappend-only. Unfortunately, without additional trust assumptions, current transparency logs cannot provide both small-sizedlookup proofs and small-sizedappend-only proofs. In fact, one of the proofs always requires bandwidth linear in the size of the log, making it expensive for everyone to query the log. In this paper, we address this gap with a new primitive called anappend-only authenticated dictionary (AAD). Our construction is the first to achieve (poly)logarithmic size for both proof types and helps reduce bandwidth consumption in transparency logs. This comes at the cost of increased append times and high memory usage, both of which remain to be improved to make practical deployment possible.
Alin Tomescu, Vivek Bhupatiraju, Dimitrios Papadopoulos 0001, Charalampos Papamanthou, Nikos Triandopoulos, Srini Devadas
CCS2