Performance study of the index structures in audited environment

Development in information systems has brought the need for universal access to data stored in computer systems using database approach. It should ensure quality, reliability, performance with emphasis on rising data amount. The first part of the paper deals with the index structure definition, index access methods, which delimit access type. However, another significant factor is the data security. The second part of the paper deals with the audit as one element of complex activities. Standard database auditing does not influence defined index, but can generate too much data regardless the query type. Fine-grained auditing is new opportunity based on attribute granularity. Experiment section highlights limitations of index access methods, when adding new audit policy. As we can see, new audit characteristic definition can significantly degrade performance due to adding new conditions to the query consequencing sequential table data processing.