Yuval Elovici

In this paper we describe the design and evaluation of the Temporal Knowledge Master, a graphical knowledge-acquisition (KA) tool used for entering the knowledge required by any implementation of the Knowledge-Based Temporal Abstraction (KBTA) method. The KBTA method provides mechanisms that perform derivation of context-specific, interval-based abstract interpretations (also known as Temporal Abstractions) from raw time-stamped data, by using a domain-specific knowledge-base. The study evaluated the functionality and usability of the KA tool in the computer-network security domain.