Research Methodologies - UMKC
In this paper, we aim to represent the causes and consequences of cyberattacks in cybersecurity in natural language while structuring the relationships between attacks into the edges of a graph. We propose a story-based approach to utilizes domain knowledge of human communication (including interpersonal, organizational, and mass media communication) to create story schema for the design of AI processes and interfaces.
The AI process and interface for cybersecurity features “what”-initiated design, adds contextual information on “when” and “where,” and probes into questions of “why” and “how,” meaning, causes and consequences. This process is initiated by thewhat question, analyze possible causes and consequences,and makes evaluative predictions of potential solutions.
The knowledge graph of cybersecurity maps out the critical elements for cybersecurity instances of NLP technology.This knowledge graph makes it possible for humans to interact with a dynamic knowledge base, get inspirations,learn cybersecurity technologies in context, and deepen understandings of social implications.