Rahul  Sridhar

Rahul Sridhar

Scholar Title

MIT EECS Lincoln Labs Undergraduate Research and Innovation Scholar

Research Title

Improving Bug Realism in LAVA, a Vulnerability Injection System

Cohort

2016–2017

Department

Electrical Engineering and Computer Science

Research Areas
  • Computer Systems
Supervisor

Timothy Leek

Abstract

Improving and Augmenting LAVA
There is a pressing need for a way to evaluate the effectiveness of vulnerability discovery programs. LAVA a system that can inject bugs in a C program provides a promising technique to easily generate large corpora of known buggy programs that can be used for evaluation however the bugs that LAVA injects currently suffer from a lack of realism. We will focus on improving the realism of LAVA bugs by improving their data flow.

Quote

A lot of people have tried to research how to discover bugs in software. My project is essentially to do the opposite: inject realistic-looking bugs into software at a large scale. Why? Simply put being able to easily generate buggy code allows us to evaluate how effective bug-finding program are at actually spotting errors.

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