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Kien Tuong Truong

dblp:389/5650 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2025
0009-0006-9370-9677ORCID · corroborated

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

Security and privacy · 3 · 1 first-author · 3 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
3 papers
Cryptographic protocols and secure computation · 70% Privacy and data protection · 30%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Storage systems · 70% Cloud and datacenter computing · 30%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › data reduction › data deduplication
content-defined chunking
0.912025
Breaking and Fixing Content-Defined Chunking · CCS 2025
Storage systems › data reduction
data deduplication
0.912025
Breaking and Fixing Content-Defined Chunking · CCS 2025
Cloud and datacenter computing
cloud storage
0.812024
End-to-End Encrypted Cloud Storage in the Wild: A Broken Ecosystem · CCS 2024
Cryptographic protocols and secure computation › secure messaging
end-to-end encryption
0.712023
Three Lessons From Threema: Analysis of a Secure Messenger · USENIX Security Symposium 2023
Cryptographic protocols and secure computation
secure messaging
0.712023
Three Lessons From Threema: Analysis of a Secure Messenger · USENIX Security Symposium 2023

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

content-defined chunking · 1.7cryptographic protocol analysis · 1.5protocol analysis · 0.7
YearPublicationVenuePosition
2025 Breaking and Fixing Content-Defined Chunking
abstract
Content-defined chunking (CDC) algorithms split streams of data into smaller blocks, called chunks, in a way that preserves chunk boundaries when the data is partially changed. CDC is ubiquitous in applications that deduplicate data such as backup solutions, software patching systems, and file hosting platforms. Much like compression, CDC can introduce leakage when combined with encryption: fingerprinting attacks can exploit chunk length patterns to infer information about the data.
Kien Tuong Truong, Simon-Philipp Merz, Matteo Scarlata, Felix Günther 0001, Kenneth G. Paterson
CCS1
2024 End-to-End Encrypted Cloud Storage in the Wild: A Broken Ecosystem
abstract
End-to-end encrypted cloud storage offers a way for individuals and organisations to delegate their storage needs to a third-party, while keeping control of their data using cryptographic techniques. We conduct a cryptographic analysis of various products in the ecosystem, showing that many providers fail to provide an adequate level of security. In particular, we provide an in-depth analysis of five end-to-end encrypted cloud storage systems, namely Sync, pCloud, Icedrive, Seafile, and Tresorit, in the setting of a malicious server. These companies cumulatively have over 22 million users and are major providers in the field. We unveil severe cryptographic vulnerabilities in four of them. Our attacks invalidate the marketing claims made by the providers of these systems, showing that a malicious server can, in some cases, inject files in the encrypted storage of users, tamper with file data, and even gain direct access to the content of the files. Many of our attacks affect multiple providers in the same way, revealing common failure patterns in independent cryptographic designs. We conclude by discussing the significance of these patterns beyond the security of the specific providers.
Jonas Hofmann, Kien Tuong Truong
CCS2
2023 Three Lessons From Threema: Analysis of a Secure Messenger
Kenneth G. Paterson, Matteo Scarlata, Kien Tuong Truong
USENIX Security Symposium3