Cybersecurity in the Age of Big Data
Methodologies, Applications, and Opportunities
Will be published approx. on 5. February 2019
Book
Hardback
304 pages
978-1-4987-8169-5 (ISBN)
Description
Cybersecurity is prevalent in the daily lives of common people and critical to the functions of the society as a whole. Big data pose great challenges and create new opportunities for cybersecurity research and practice. There has been great efforts in this area regarding organizing big data and processing them. However, there is no book that addresses the topics of big data processing for cybersecurity applications, or the challenges and opportunities of the large dataset analysis tools for security defenses. This book will present well-known methods and tools used by security researchers and practitioners for large data processing, visualization, statistical analysis, and classification.
More details
Persons
Xiangyang Li has been working in computer and system security, user modeling and intelligent systems, simulation and modeling, and knowledge discovery and engineering for a significant amount of time. He has contributed to many projects on computer security, user modeling and assistance, and information fusion funded by NSF, ONR, DARPA, and universities. Xiangyang Li received his Ph.D. from Arizona State University. Currently he is with the Johns Hopkins University Information Security Institute.
Xenia Mountrouidou is currently an Assistant Professor at Wofford College, Department of Computer Science. Previously she was an Assistant Professor at Jacksonville University, Department of Computing Science. She was a post-doc researcher at the College of William and Mary working on analytical modeling for power savings, reliability and performance on disk drives. Previously she held a position as a Software Performance Engineer for the WebSphere Application Server Performance team at IBM, Research Triangle Park (Oct. 2007 - Dec. 2009). She received her Ph.D. in 2007 from North Carolina State University, Department of Computer Science under the supervision of Dr. Harry Perros. She received a Master's of Science in 2002 from the Department of Computer Engineering at the University of Patras. She has worked as an undergraduate student research assistant at the Computer Architecture and VLSI Systems Lab, Institute of Computer Science, Foundation of Research and Technology Hellas (ICS-FORTH). She has also worked for Ellemedia Technologies, as a member of Technical Staff of Broadband Components Group. She has authored scholarly papers in the areas of performance modeling, computer networks, and embedded computer architectures.
Xenia Mountrouidou is currently an Assistant Professor at Wofford College, Department of Computer Science. Previously she was an Assistant Professor at Jacksonville University, Department of Computing Science. She was a post-doc researcher at the College of William and Mary working on analytical modeling for power savings, reliability and performance on disk drives. Previously she held a position as a Software Performance Engineer for the WebSphere Application Server Performance team at IBM, Research Triangle Park (Oct. 2007 - Dec. 2009). She received her Ph.D. in 2007 from North Carolina State University, Department of Computer Science under the supervision of Dr. Harry Perros. She received a Master's of Science in 2002 from the Department of Computer Engineering at the University of Patras. She has worked as an undergraduate student research assistant at the Computer Architecture and VLSI Systems Lab, Institute of Computer Science, Foundation of Research and Technology Hellas (ICS-FORTH). She has also worked for Ellemedia Technologies, as a member of Technical Staff of Broadband Components Group. She has authored scholarly papers in the areas of performance modeling, computer networks, and embedded computer architectures.
Content
Methodologies and Tools. Big Data and Security: the Good, the Bad, and the Ugly. Data Collection for Security in the Age of Big Data. Making Sense of Data: Exploratory Data Analysis (EDA). Feature Extraction and Selection. Data Analysis Techniques. Big Data Visualization for Security. Applications and Use Cases. Attack Detection. Attack Mitigation. Digital Forensics. Cloud Computing Security. Mobile Computing Security. Security in Cyber Physical Systems and Internet of Things. Threat Intelligence and Information Sharing. Tools: Mapreduce, Hadoop, and Spark. Network Security Supported by Software Defined Networking. Data Anonymization and Privacy. Challenges and Opportunities. Data Quality. Performance. Other Issues: Privacy, Law, and Ethics.