English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The article offers an approach to analyzing data security of network infrastructure of digital production providing for contraction of network traffic size and detecting anomalies in the network traffic on the basis of multifractal analysis. The contraction of data size will be provided due to extraction of significant parameters from the network packets and dropping the rest data, as well as due to application of such Big Data method as aggregation. The experimental investigations on contracting data size on analyzing security have proven the operability and efficiency thereof. The method of contracting data size has demonstrated a possibility of traffic volume contraction from hundreds of Gbit to several Mbyte. The suggested approach to security analysis using the assessment of width of multifractional spectrum as a criterion of anomaly presence has detected both simulated attacks of denial of servicing SYN-flood and smurf. Thus, the suggested approach can be efficiently used for analyzing big volumes of dissimilar traffic of network infrastructure of digital production.

Detection of cyber threats to network infrastructure of digital production based on the methods of Big Data and multifractal analysis of traffic