id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_oycc2mtdyrdkpfquyovfrgyj3m	S. Parkinson	Auditing file system permissions using association rule mining	2016	17	.pdf	application/pdf	9712	919	58	Identifying irregular file system permissions in large, multi-user systems is challenging due to the complexity of gaining structural understanding from large volumes of permission information. can be used by association rule mining techniques to identify irregular permissions is presented. prior knowledge of how to file systems permissions are implemented within a directory structure. permissions created from a set of predefined attributes to represent highly customised access control rules. balance on expert knowledge and provide a method of auditing file system permissions for all NTFS users. execution time for directory structures of the same size but with a different number of irregular permissions Table 2 demonstrates two example Associate Rules for demonstrating both an irregular and regular permission extracted from a synthetically generated directory structure with 100 directories and 16 anomalies. This paper presents a technique to identify irregular file system permissions using Association Rule	./cache/work_oycc2mtdyrdkpfquyovfrgyj3m.pdf	./txt/work_oycc2mtdyrdkpfquyovfrgyj3m.txt