Big Data for Cyber-attack Management

Big Data has become big business. This paper explores a means of improving Cyber-security using Big Data technologies, ontology, and decision support for preventing or reducing losses from cyber-attacks. Because of the priority of this threat to national security it is necessary to attain results far superior to those found in modern-day security operations centers. Focus is on the potential application of ontology engineering to this end, and a cyber-attack management system (CAMS) is proposed. Because of the complexity of this problem domain and the requirement for quick, just-in-time action to prevent loss, we are investigating the application of formal methods with Big Data and ontology. The approach is overviewed and issues are discussed. Keywords—big data; ontology; cyber-security; modeling, search; discovery; analytics; variety; metadata