activity
20182021
most citedThe Relevance of Classic Fuzz Testing: Have We Solved This One?

28 citations · 43 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2021

Evaluation of Static Vulnerability Detection Tools with Java Cryptographic API Benchmarks

Sharmin Afrose, Ya Xiao, Sazzadur Rahaman +3

Several studies showed that misuses of cryptographic APIs are common in real-world code (e.g., Apache projects and Android apps). There exist several open-sourced and commercial se…

cs.SE2020★ 28 cited

The Relevance of Classic Fuzz Testing: Have We Solved This One?

Barton P. Miller, Mengxiao Zhang, Elisa R. Heymann

As fuzz testing has passed its 30th anniversary, and in the face of the incredible progress in fuzz testing techniques and tools, the question arises if the classic, basic fuzz tec…

cs.CR2020

An In-Depth Security Assessment of Maritime Container Terminal Software Systems

Joseph O. Eichenhofer, Elisa Heymann, Barton P. Miller +1

Attacks on software systems occur world-wide on a daily basis targeting individuals, corporations, and governments alike. The systems that facilitate maritime shipping are at risk…

cs.PF2020

Parallel Binary Code Analysis

Xiaozhu Meng, Jonathon M. Anderson, John Mellor-Crummey +3

Binary code analysis is widely used to assess a program's correctness, performance, and provenance. Binary analysis applications often construct control flow graphs, analyze data f…

cs.CR2019★ 6 cited

Trusted CI Experiences in Cybersecurity and Service to Open Science

Andrew Adams, Kay Avila, Jim Basney +16

This article describes experiences and lessons learned from the Trusted CI project, funded by the US National Science Foundation to serve the community as the NSF Cybersecurity Cen…

cs.CR2018★ 9 cited

Adversarial Binaries for Authorship Identification

Xiaozhu Meng, Barton P. Miller, Somesh Jha

Binary code authorship identification determines authors of a binary program. Existing techniques have used supervised machine learning for this task. In this paper, we look this p…