Demo Data from EDBT 2026 / reviewers in the wild / expert
Varun Gandhi
dblp:152/4890
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 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 |
Systems and software security · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security
system auditing |
0.7 | 1 | 2023 | Rethinking System Audit Architectures for High Event Coverage and Synchronous Log Availability · USENIX Security Symposium 2023 |
Methods — techniques the papers use, named apart from their topics
audit logging · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Rethinking System Audit Architectures for High Event Coverage and Synchronous Log Availability
Varun Gandhi, Sarbartha Banerjee, Aniket Agrawal, Adil Ahmad, Sangho Lee 0001, Marcus Peinado |
USENIX Security Symposium | 1 |
| 2014 | E-VeT: Economic Reward/Penalty-Based System for Vehicular Traffic ManagementabstractWe propose the E-VeT system for efficient vehicular traffic management in road networks using economy-based reward/penalty schemes. In E-VeT, base stations collaboratively facilitate dynamic vehicular route assignments for reducing the traffic congestion, average time of arrival and fuel consumption. The main contributions of this work are two-fold. First, it proposes an R2A (Revenue-based Route Allocation) scheme, which rewards vehicles for following system-assigned longer-time paths, and charges a fee for following system-assigned shorter-time paths. Furthermore, it penalizes vehicles for any deviations from the system-assigned paths. Second, it discusses a route allocation algorithm, which gives lesser-time paths as a preference to vehicles that have earned higher revenue based on the R2A scheme. Preliminary performance study shows that E-VeT is indeed effective in managing vehicular traffic in road networks by reducing the average time of arrival and fuel consumption. Nilesh Padhariya, Ouri Wolfson, Anirban Mondal, Varun Gandhi, Sanjay Madria |
MDM (1) | 4 |