R. Sekar

R. Sekar

Stony Brook University

H-index: 53

North America-United States

About R. Sekar

R. Sekar, With an exceptional h-index of 53 and a recent h-index of 26 (since 2020), a distinguished researcher at Stony Brook University, specializes in the field of Security, Systems, Algorithms, Programming Languages.

His recent articles reflect a diverse array of research interests and contributions to the field:

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection

eAudit: A Fast, Scalable and Deployable Audit Data Collection System

Accurate Disassembly of Complex Binaries Without Use of Compiler Metadata

System and method associated with expedient detection and reconstruction of cyber events in a compact scenario representation using provenance tags and customizable policy

{SAFER}: Efficient and {Error-Tolerant} Binary Instrumentation

Practical fine-grained binary code randomization

Information Flow: A Unified Basis for Vulnerability Mitigation, Malware Defense and Attack Scenario Reconstruction

On the impact of exception handling compatibility on binary instrumentation

R. Sekar Information

University

Position

Professor of Computer Science

Citations(all)

12062

Citations(since 2020)

3224

Cited By

10445

hIndex(all)

53

hIndex(since 2020)

26

i10Index(all)

86

i10Index(since 2020)

45

Email

University Profile Page

Stony Brook University

Google Scholar

View Google Scholar Profile

R. Sekar Skills & Research Interests

Security

Systems

Algorithms

Programming Languages

Top articles of R. Sekar

Title

Journal

Author(s)

Publication Date

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection

arXiv preprint arXiv:2404.14720

Lingzhi Wang

Xiangmin Shen

Weijian Li

Zhenyuan Li

R Sekar

...

2024/4/23

eAudit: A Fast, Scalable and Deployable Audit Data Collection System

R Sekar

Hanke Kimm

Rohit Aich

2023/10/17

Accurate Disassembly of Complex Binaries Without Use of Compiler Metadata

Soumyakant Priyadarshan

Huan Nguyen

R Sekar

2023/3/25

System and method associated with expedient detection and reconstruction of cyber events in a compact scenario representation using provenance tags and customizable policy

2023/3/7

{SAFER}: Efficient and {Error-Tolerant} Binary Instrumentation

Soumyakant Priyadarshan

Huan Nguyen

Rohit Chouhan

R Sekar

2023

Practical fine-grained binary code randomization

Soumyakant Priyadarshan

Huan Nguyen

R Sekar

2020/12/7

Information Flow: A Unified Basis for Vulnerability Mitigation, Malware Defense and Attack Scenario Reconstruction

R Sekar

2020/11/13

On the impact of exception handling compatibility on binary instrumentation

Soumyakant Priyadarshan

Huan Nguyen

R Sekar

2020/11/13

Combating dependence explosion in forensic analysis using alternative tag propagation semantics

Md Nahid Hossain

Sanaz Sheikhi

R Sekar

2020

Mitigating advanced and persistent threat (APT) damage by reasoning with provenance in large enterprise network (MARPLE) Program

Josyula Rao

Yan Chen

R Sekar

Venkat Venkatakrishnan

International Business Machines Corporation Yorktown Heights United States

2020/1/1

See List of Professors in R. Sekar University(Stony Brook University)

Co-Authors

H-index: 48
George Candea

George Candea

École Polytechnique Fédérale de Lausanne

H-index: 47
Scott D. Stoller

Scott D. Stoller

Stony Brook University

H-index: 45
Prateek Saxena

Prateek Saxena

National University of Singapore

H-index: 40
Zhenkai Liang

Zhenkai Liang

National University of Singapore

H-index: 38
VN Venkatakrishnan

VN Venkatakrishnan

University of Illinois at Chicago

H-index: 34
Lorenzo Cavallaro

Lorenzo Cavallaro

King's College London

academic-engine