Demo Data from EDBT 2026 / reviewers in the wild / expert
Shibani Subbareddy
dblp:294/1091
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 50% Reconfigurable computing and FPGAs · 50% | |
| Network and information security
1 paper |
Systems and software security · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › cloud security
co-residency detection |
0.5 | 1 | 2021 | CoResident Evil: Covert Communication In The Cloud With Lambdas · WWW 2021 |
Reconfigurable computing and FPGAs
covert channel |
0.5 | 1 | 2021 | CoResident Evil: Covert Communication In The Cloud With Lambdas · WWW 2021 |
Cloud and datacenter computing
serverless computing |
0.5 | 1 | 2021 | CoResident Evil: Covert Communication In The Cloud With Lambdas · WWW 2021 |
Methods — techniques the papers use, named apart from their topics
memory bus covert channel · 1.0co-residence detection · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | CoResident Evil: Covert Communication In The Cloud With Lambdasabstract“Serverless” cloud services, such as AWS lambdas, are one of the fastest growing segments of the cloud services market. These services are popular in part due to their light-weight nature and flexibility in scheduling and cost, however the security issues associated with serverless computing are not well understood. In this work, we explore the feasibility of constructing a practical covert channel from lambdas. We establish that a fast co-residence detection for lambdas is key to enabling such a covert channel, and proceed to develop a reliable and scalable co-residence detector based on the memory bus hardware. Our technique enables dynamic discovery for co-resident lambdas and is incredibly fast, executing in a matter of seconds. We evaluate our approach for correctness and scalability, and use it to establish covert channels and perform data transfer on AWS lambdas. We show that we can establish hundreds of individual covert channels for every 1000 lambdas deployed, and each of those channels can send data at a rate of 00 bits per second, thus demonstrating that covert communication via lambdas is entirely feasible. Anil Yelam, Shibani Subbareddy, Keerthana Ganesan, Stefan Savage, Ariana Mirian |
WWW | 2 |