Data Mining Approaches for Intrusion Detection
In this paper we discuss our research in developing general and systematic methods for intrusion detection. The key ideas are to use data mining techniques to discover consistent and useful patterns of system features that describe program and user behavior, and use the set of relevant system features to compute (inductively learned) classifiers that can […]
Comprehensive Survey of Data Mining-based Fraud Detection Research
This survey paper categorises, compares, and summarises from almost all published technical and review articles in automated fraud detection within the last 10 years. It defines the professional fraudster, formalises the main types and subtypes of known fraud, and presents the nature of data evidence collected within affected industries. Within the business context of mining […]
research paper-computer science-network security
Software agents and computer network security Scalable data management alternatives to support data mining heterogeneous logs for computer network security The multi-agent systems for computer network security assurance-frameworks and case studies Introduction to Computer and Network Security Network Security Issues, Tools for Testing Security hybrid intrusion detection system design for computer network security Generate a Key for AES Using Biometric for […]