I. Applying Big Data into Different Cybersecurity Aspects
1. The Power of Big Data in Cybersecurity
Song Luo, Malek Ben Salem, and Yan Zhai
2. Big Data for Network Forensics
Yi Cheng, Tung Thanh Nguyen, Hui Zeng, and Julia Deng
3. Dynamic Analytics-Driven Assessment of Vulnerabilities and Exploitation
Hasan Cam, Magnus Ljungberg, Akhilomen Oniha, and Alexia Schulz
4. Root Cause Analysis for Cybersecurity
Engin Kirda and Amin Kharraz
5. Data Visualization for Cybersecurity
Lane Harrison
6. Cybersecurity Training
Bob Pokorny
7. Machine Unlearning: Repairing Learning Models in Adversarial Environments
Yinzhi Cao
II. Big Data in Emerging Cybersecurity Domains
8. Big Data Analytics for Mobile App Security
Doina Caragea and Xinming Ou
9. Security, Privacy, and Trust in Cloud Computing
Yuhong Liu, Ruiwen Li, Songjie Cai, and Yan (Lindsay) Sun
10. Cybersecurity in Internet of Things (IoT)
Wenlin Han and Yang Xiao
11. Big Data Analytics for Security in Fog Computing
Shanhe Yi and Qun Li
12. Analyzing Deviant Socio-Technical Behaviors Using Social Network Analysis and Cyber Forensics-Based Methodologies
Samer Al-Khateeb, Muhammad Hussain, and Nitin Agarwal
III. Tools and Datasets for Cybersecurity
13. Security Tools
Matthew Matchen
14. Data and Research Initiatives for Cybersecurity Analysis
Julia Deng and Onur Savas
Index
Biography
Dr. Onur Savas is a data scientist at Intelligent Automation, Inc. (IAI), Rockville, MD. As a data scientist, he performs research and development (R&D), leads a team of data scientists, software engineers, and programmers, and contributes to IAI’s increasing portfolio of products. He has more than 10 years of R&D expertise in the areas of networks and security, social media, distributed algorithms, sensors, and statistics. His recent work focuses on all aspects of big data analytics and cloud computing with applications to network management, cybersecurity, and social networks. Dr. Savas has a PhD in electrical and computer engineering from Boston University, Boston, MA, and is the author of numerous publications in leading journals and conferences. At IAI, he has been the recipient of various R&D contracts from DARPA, ONR, ARL, AFRL, CTTSO, NASA, and other federal agencies. His work at IAI has contributed to the development and commercialization of IAI’s social media analytics tool Scraawl® (www.scraawl.com).
Dr. Julia Deng is a principal scientist and Sr. Director of Network and Security Group at Intelligent Automation, Inc. (IAI), Rockville, MD. She leads a team of more than 40 scientists and engineers, and during her tenure at IAI, she has been instrumental in growing IAI’s research portfolio in networks and cybersecurity. In her role as a principal investigator and principal scientist, she initiated and directed numerous R&D programs in the areas of airborne networks, cybersecurity, network management, wireless networks, trusted computing, embedded system, cognitive radio networks, big data analytics, and cloud computing. Dr. Deng has a PhD from the University of Cincinnati, Cincinnati, OH, and has published over 30 papers in leading international journals and conference proceedings.
