Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 200

The DOI matches its Crossref record.

Proceedings of the 34th Annual Computer Security Applications Conference

·2018

Abstract

In March 1985, a group of computer professionals gathered in McLean, Virginia, to discuss issues regarding the application of computer security technologies to aerospace programs. That first conference, a one-day affair, featured nine papers in two tracks, attracted about 115 people, and was acclaimed a success. The Applied Computer Security Associates (ACSA) formed to continue the meeting on a regular basis, and three decades and roughly 1700 technical presentations later, the Annual Computer Security Applications Conference (ACSAC) continues to fulfill its core mission to discuss issues related to the practical application of computer security technology. Welcome to the thirtieth meeting of ACSAC! This year's meeting continues the strategic focus on cyberphysical system security began last year with even more peer-reviewed papers and expert panels. We also continue our discussion about the practical integration of security engineering with system engineering and building trustworthy, resilient systems. ACSAC 30 presents the latest in cybersecurity research, hosts workshops in layered assurance, malware memory forensics, and program protection and reverse engineering, and provides training in the latest technologies and security standards. As a special feature, ACSAC will celebrate the golden anniversary of the Multics project with a distinguished panel of Multicians who will discuss Multics' influence on information security and examine how the world has---and has not---embraced Multics' core security principles.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/3274694

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 200

Metadata

Publisher
ACM
Published
2018-12-03
OpenAlex
W2911518933
Cited by
200
References
0
Type
paratext
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Proceedings of the 34th Annual Computer Security Applications Conference. https://app.cochat.ai/papers/10.1145/3274694
The paper
Proceedings of the 34th Annual Computer Security Applications Conference. (2018). https://doi.org/10.1145/3274694

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.