Big Data Analytics in Cybersecurity

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.

• Applying Big Data into Different Cybersecurity Aspects. The Power of Big Data in Cybersecurity. Big Data for Network Forensics. Dynamic Analytics-Driven Assessment of Vulnerabilities and Exploitation. Root Cause Analysis for Cybersecurity. Data Visualization for Cybersecurity. Cybersecurity Training. Machine Unlearning: Repairing Learning Models in Adversarial Environments. Big Data in Emerging Cybersecurity Domains. Big Data Analytics for Mobile App Security. Security, Privacy, and Trust in Cloud Computing. Cybersecurity in Internet of Things (IoT). Big Data Analytics for Security in Fog Computing. Analyzing Deviant Socio-Technical Behaviors Using Social Network Analysis and Cyber Forensics-Based Methodologies. Tools and Datasets for Cybersecurity. Security Tools. Data and Research Initiatives for Cybersecurity Analysis. Index.

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