Systematic review on process mining and security

Abstract

Security is an important issue that every organisation should address. One approach to secure systems could be the use of process mining techniques. Process mining is an emerging discipline which can extract knowledge from event logs that are available in information systems. In the security context, process mining is used to analyse security trails to detect anomalies in process execution. While some of the data mining projects are already implemented in banking, insurance and telecom sector the interesting question is: What is happening in public sector? This paper investigates the research on process mining techniques in security domain and tries to discover the examples of its implementation especially in public sector.
 The systematic review has been conducted in order to give an overview of state-of-the-art process mining techniques used in security context, to classify the main areas of development, algorithms, tools and to identify possible future research course.

Semantic Recommender System Based on Semantic Similarity Using FastText and Word Mover’s Distance

“…The first part was labelled positive that discussed the query which had been searched and the second part was labelled negative data that discussed the query which had been sought. For data labelling, we used the systematic literature review from query Figure. 1 Method stages process mining [22], semantic search [23], and mixed reality [24]. For query COCOMO, we used the dataset which had been collected.…”