Big Data Cybersecurity Analytics
SCOPE
As the development of cyber technologies, the risk of cybercrime, cyberespionage, cyberterrorism, and advanced persistent threats is also increasing greatly. In particular, the attack techniques as well as the speed in launching these attacks are rapidly improving. As both volume and complexity of malware attacks increase, traditional analytic tooling and infrastructure have become difficult to keep up. Big data analytics are being developed as a promising way to address these challenges. Due to the characteristics of big data, such as huge amount of data and sheer breadth and coverage, Cybersecurity analytics for big data can provide unprecedented cybersecurity capabilities to proactively monitor, analyze, and mitigate sophisticated and advanced cybersecurity threats and exploitations. This workshop aims to exploit big data analytics capabilities including innovative techniques, metrics, and behavior analysis to address the cybersecurity challenges. Contributions that push the state of the art in all facets of big data cybersecurity analytics are encouraged and welcomed.
WORKSHOP AREAS
Topics of interest include but not limited to:
1.Big data theory for cybersecurity
2.Data aggregation and correlations of big data sensors
3.Big data visualization for cybersecurity
4.Knowledge representation and visualization of behavior of autonomic systems and services
5.Big data cybersecurity computational models
6.Data mining, stochastic analysis and prediction
7.Advanced Persistent Threat (APT) modeling and analysis
8.Data Science and Analytics in Security Informatics
9.Privacy, security, trust, and risk in big data
10.Data integrity, matching, and sharing
PAPER SUBMISSION
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. The papers should be prepared in English and submitted in PDF format (For detailed requirements and template, please visit http://www.ieee-dsc.org/2017/CallForPapers.html). All accepted papers will appear in the proceedings of the IEEE DSC2017 conference. If accepted, at least one of the authors must attend the workshop to present the work. Accepted papers without presentations will be excluded from the proceedings.
IMPORTANT DATES
Acceptance notification:
Camera-ready copy:
Conference Date: June 26, 2017
ORGANIZATION
GENERAL CHAIR
STEERING COMMITTEE
Liudong Xing, University of Electronic Science and Technology of China/University of Massachusetts Dartmouth
Yan (Lindsay) Sun, University of Rhode Island
PROGRAM CHAIR
PROGRAM COMMITTEE
Zhangjie Fu, Nanjing University of Information Science and Technology
Yuchang Mo, Zhejiang Normal University
Hong Liu, University of Massachusetts Dartmouth
Cong Wang, City University of Hong Kong
Honggang Wang, University of Massachusetts Dartmouth
Yujie Wang, University of Electronic Science and Technology of China
Kaimin Wei, Jinan University
Zhihua Xia, Nanjing University of Information Science and Technology
Xingliang Yuan, City University of Hong Kong
CONTACT US
c_wang@foxmail.com