Demo Data from EDBT 2026 / reviewers in the wild / expert
Tejas Karandikar
dblp:98/4650
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—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 |
Systems and software security · 61% Authentication and access control · 30% Malware analysis · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security
information flow control |
0.1 | 1 | 2008 | Practical Proactive Integrity Preservation: A Basis for Malware Defense · SP 2008 |
Authentication and access control › access control
integrity protection |
0.1 | 1 | 2008 | Practical Proactive Integrity Preservation: A Basis for Malware Defense · SP 2008 |
Systems and software security
operating system security |
0.1 | 1 | 2008 | Practical Proactive Integrity Preservation: A Basis for Malware Defense · SP 2008 |
Malware analysis
malware defense |
0.0 | 1 | 2008 | Practical Proactive Integrity Preservation: A Basis for Malware Defense · SP 2008 |
Methods — techniques the papers use, named apart from their topics
information flow analysis · 0.1automated policy generation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Practical Proactive Integrity Preservation: A Basis for Malware DefenseabstractUnlike today's reactive approaches, information flow based approaches can provide positive assurances about overall system integrity, and hence can defend against sophisticated malware. However, there hasn't been much success in applying information flow based techniques to desktop systems running modern COTS operating systems. This is, in part, due to the fact that a strict application of information flow policy can break existing applications and OS services. Another important factor is the difficulty of policy development, which requires us to specify integrity labels for hundreds of thousands of objects on the system. This paper develops a new approach for proactive integrity protection that overcomes these challenges by decoupling integrity labels from access policies. We then develop an analysis that can largely automate the generation of integrity labels and policies that preserve the usability of applications in most cases. Evaluation of our prototype implementation on a Linux desktop distribution shows that it does not break or inconvenience the use of most applications, while stopping a variety of sophisticated malware attacks. Weiqing Sun, R. Sekar 0001, Gaurav Poothia, Tejas Karandikar |
SP | 4 |