Title :
Using data visualization to facilitate secure engineering hardening your code through improved next generation softSecVis
Author :
Rodgers, Jeremy ; Jaramillo, David ; Jun Wang
Author_Institution :
IBM CIO Lab. - Security Innovations, Univ. of Central Florida, Orlando, FL, USA
Abstract :
Cyber security threats and vulnerabilities are as prevalent today as ever. Security should be designed and built into programs from day one. There are many code analysis and scanners available, but few offer a data visualization view, and little has been written about leveraging data analytics and visualization for the improvement of security posture across a code base. Analyzing large enterprise projects results in both massive data consumed and reported. The need to visualize this data for security, softSecVis, is very real. We examine prior findings, prototypes, and current tools used in software security visualization at the code level. We go on to propose several new methods of visualizing security vulnerabilities.
Keywords :
data visualisation; security of data; cyber security threats; cyber security vulnerabilities; data analytics; data security; data visualization; enterprise projects; next generation softSecVis; secure engineering; software security visualization; Data visualization; Heating; Proposals; Prototypes; Security; Software; Visualization; data security; data visualization; developer tools; vulnerability analysis;
Conference_Titel :
SOUTHEASTCON 2014, IEEE
Conference_Location :
Lexington, KY
DOI :
10.1109/SECON.2014.6950668