Information Fusion for Cyber-Security Analytics

Dr. Izzat Alsmadi is an Assistant Professor in the department of Computer Science at the University of New Haven. He has his master and PhD in Software Engineering from North Dakota State University. He has more than 100 conference and journal publications. His research interests include: Software security, software engineering, software testing, social networks and software defined networking. Dr. George Karabatis is an Associate Professor of Information Systems and Associate Chair for Academic Affairs in the Department of Information Systems. He teaches undergraduate and graduate courses in semantic data integration, data management, data communications and networking, database applications, and mobile applications. He is one of the founding members of DINAMIC, a research group of IS faculty and students who pursue research in intelligent information discovery in various application domains. His research work has been published in peer-reviewed journals, conference proceedings and book chapters. He has been funded by NSF, USGS, MD Board of Elections, Northrop-Grumman and IGSR. He holds a Ph.D. in Computer Science from the University of Houston. Dr. Ahmed AlEroud is an Assistant Professor of Computer Information Systems, at Yarmouk University in Jordan. He has recently joined UMBC as a Visiting Associate Research Scientist in the Department of Information Systems. Dr. AlEroud has received his PhD in Information Systems from the University of Maryland, Baltimore County (UMBC). His research appears in several cyber security and information systems conferences, such as the IEEE/ASE International conference in Cyber-Security, the IEEE conference on software Security and Reliability, and the International Conference on Semantic Computing.  He has served as a committee member and a reviewer in some conferences in several areas such as the first International Conference on Anti-Cybercrime (ICACC-2015) and the entropy Journal. p>

Introduction.- Part 1: Information Fusion for Cyber-Security Analytics.- Activity Information Fusion for Security Analytics.- Location Information Fusion for Security Analytics.- Time Information Fusion for Security Analytics.- Individuality Information Fusion for Security Analytics.- Relation Information Fusion for Security Analytics.- Part 2: Trends in Using Information Fusion Techniques to Discover Cyber Threats.- Big Data Fusion for Predicting Network Threats.- Using Software Defined Networks for Cyber Threat Discovery.- Privacy Preserving Information Fusion for Analyzing Network Data.- Using Information Fusion to Discover Zero-Day Attacks.- Enhancing Social Network Privacy and Security Using Graph-based Data Fusion.- Using Information Fusion to discover Cyber-threats in Wireless Sensor Networks.- Information Fusion for Improving Privacy and Security in Healthcare Applications.- Predicting Social Engineering Attacks Using  Information Fusion Techniques.- Part 3: Applications and tools. -Information Fusion Application and Tools for Cyber Security Analytics.- Conclusion.