Research

Category Archive Subtitle

Acronis SCS State and Local Industry Spotlight

Unite.ai Highlights Acronis SCS’ Software Supply Chain Validation Research

Unite.ai Highlights Acronis SCS' Software Supply Chain Validation Research Acronis SCS has partnered with leading academics to improve software by developing an AI-based risk scoring model capable of quantitatively assessing software code vulnerability. Click below to read more about this innovative effort in an article

Critical Infrastructure is Vulnerable Blog Featured Image

Press Release – Impressive Initial Results for Novel AI-based Software Risk Scoring Model

Impressive Initial Results for Novel AI-based Software Supply Chain Risk Scoring Model Spearheaded by Acronis SCS, first round of research yields 41% improvement at detecting CVEs SCOTTSDALE, AZ – Dec. 9, 2020 – The Acronis SCS research team – led by the company’s Senior Director

Balancing Innovation & Secure Software Development in a Globalized Economy

From power grids and advanced weapons systems to the telework-enabling apps connecting us during COVID-19, software sits at the heart of nearly all that keeps America and the world running. As more and more products and services rely on the use of unvetted third party

Optimally Balanced Orientation of Graphs

This research paper - published by IEEE and co-authored by Joe Barr (Joe Barr), Faisal Abu-Khzam (Lebanese American University), and Peter Shaw (Nanjing University) - explores how to optimally balance graph orientations. Read the Paper

Acronis SCS Healthcare Blog Featured Image

Telemedicine & Homecare in the Era of COVID-19 & Beyond

This research paper - published by IEEE and co-authored by Joe Barr (Acronis SCS) and Daniela D'Auria and Fabio Persia (Free University of Bozen-Bolzano) - outlines the concept of telehealth and a future structure of home care systems. Read the Paper

Combinatorial Code Classification & Vulnerability Rating

This research paper - published by IEEE and co-authored by Joe Barr and Tyler Thatcher (Acronis SCS), Peter Shaw (Nanjing University), Faisal Abu-Khzam (Lebanese American University), and Sheng Yu and Heng Yin (University of California - Riverside) - uses an empirical analysis of source code

The Case for Investigating Corruption & Modern Slavery through Suspicious Employment Data

This research paper - published by IEEE and co-authored by Joe Barr (Acronis SCS), Felicity Gerry (Deakin University), and Peter Shaw (Nanjing University) - uses the mathematics of networks in the novel context of corporate reporting of slavery in supply chains as a method to

Research

Unite.ai Highlights Acronis SCS’ Software Supply Chain Validation Research

Press Release – Impressive Initial Results for Novel AI-based Software Risk Scoring Model

Balancing Innovation & Secure Software Development in a Globalized Economy

Optimally Balanced Orientation of Graphs

Telemedicine & Homecare in the Era of COVID-19 & Beyond

Combinatorial Code Classification & Vulnerability Rating

The Case for Investigating Corruption & Modern Slavery through Suspicious Employment Data

Get in Touch

6370 East Thomas Road, Suite 250, Scottsdale, AZ 85251

(877) 202-0240

Subscribe to the Blog

Get in Touch

6370 East Thomas Road, Suite 250, Scottsdale, AZ 85251

(877) 202-0240

Subscribe