Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Shibani Subbareddy

dblp:294/1091 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Systems and software security › cloud security
co-residency detection
0.512021
CoResident Evil: Covert Communication In The Cloud With Lambdas · WWW 2021
Reconfigurable computing and FPGAs
covert channel
0.512021
CoResident Evil: Covert Communication In The Cloud With Lambdas · WWW 2021
Cloud and datacenter computing
serverless computing
0.512021
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
YearPublicationVenuePosition
2021 CoResident Evil: Covert Communication In The Cloud With Lambdas
abstract
“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
WWW2