VizSec 2016 - IEEE Symposium on Visualization for Cyber Security 2016
Date2016-10-24
Deadline2016-08-01
VenueBaltimore, MD, USA - United States
Keywords
Websitehttps://vizsec.org
Topics/Call fo Papers
The 13th IEEE Symposium on Visualization for Cyber Security (VizSec) is a forum that brings together researchers and practitioners from academia, government, and industry to address the needs of the cybersecurity community through new and insightful visualization and analysis techniques. VizSec provides an excellent venue for fostering greater exchange and new collaborations on a broad range of security- and privacy-related topics. VizSec will be held in Baltimore, MD, USA in conjunction with IEEE VIS.
The purpose of VizSec is to explore effective and scalable visual interfaces for security domains such as network security, computer forensics, reverse engineering, insider threat detection, cryptography, privacy, user assisted attacks prevention, compliance management, wireless security, secure coding, and penetration testing.
Technical Papers
Full papers describing novel contributions in security visualization are solicited. Papers may present techniques, applications, practical experience, theory, analysis, experiments, or evaluations. We encourage the submission of papers on technologies and methods that promise to improve cyber security practices, including, but not limited to:
Situation awareness and/or understanding
Incident handling including triage, exploration, correlation, and response
Computer forensics
Recording and reporting results of investigations
Assisting proactive security configuration and deployment
Reverse engineering and malware analysis
Vulnerability management
Multiple data source analysis
Analyzing information requirements for computer network defense
Evaluation and/or user testing of VizSec systems
Criteria for assessing the effectiveness of cyber security visualizations (whether from a security goal perspective or a human factors perspective)
Modeling system and network behavior
Modeling attacker and defender behavior
Studying risk and impact of cyber attacks
Predicting future attacks or targets
Security metrics and education
Software security
Mobile application security
Social networking privacy and security
The purpose of VizSec is to explore effective and scalable visual interfaces for security domains such as network security, computer forensics, reverse engineering, insider threat detection, cryptography, privacy, user assisted attacks prevention, compliance management, wireless security, secure coding, and penetration testing.
Technical Papers
Full papers describing novel contributions in security visualization are solicited. Papers may present techniques, applications, practical experience, theory, analysis, experiments, or evaluations. We encourage the submission of papers on technologies and methods that promise to improve cyber security practices, including, but not limited to:
Situation awareness and/or understanding
Incident handling including triage, exploration, correlation, and response
Computer forensics
Recording and reporting results of investigations
Assisting proactive security configuration and deployment
Reverse engineering and malware analysis
Vulnerability management
Multiple data source analysis
Analyzing information requirements for computer network defense
Evaluation and/or user testing of VizSec systems
Criteria for assessing the effectiveness of cyber security visualizations (whether from a security goal perspective or a human factors perspective)
Modeling system and network behavior
Modeling attacker and defender behavior
Studying risk and impact of cyber attacks
Predicting future attacks or targets
Security metrics and education
Software security
Mobile application security
Social networking privacy and security
Other CFPs
- 1st Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems (PDSW-DISCS’16)
- 12th International Conference on Mass Data Analysis of Images and Signals
- 17th Industrial Conference on Data Mining
- 13th International Conference on Machine Learning and Data Mining
- 6th International Multidisciplinary Conference and Workshop 2016
Last modified: 2016-07-06 23:35:15