| Title | Diagnostics and Assessment of the Industrial Network Security Expert System |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Repp, P. |
| Conference Name | 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) |
| Date Published | may |
| Keywords | Algorithm design and analysis, classification, computer network security, cyber-attack, cyber-attacks classification, cyber-attacks sets, diagnostic assessment, diagnostic system, expert assessment, expert systems, Human Behavior, Industrial engineering, industrial network security expert system, industrial network virtual model, Industrial Safety, Information security, LPτ-sequence, Manufacturing, Markov chain, Markov processes, Mathematical model, Monte Carlo methods, Monte Carlo numerical method, Network security, nodal points, pubcrawl, resilience, Resiliency, Scalability, security, Software, Vulnerability |
| Abstract | The paper dwells on the design of a diagnostic system and expert assessment of the significance of threats to the security of industrial networks. The proposed system is based on a new cyber-attacks classification and presupposes the existence of two structural blocks: the industrial network virtual model based on the scan selected nodal points and the generator of cyber-attacks sets. The diagnostic and expert assessment quality is improved by the use of the Markov chains or the Monte Carlo numerical method. The numerical algorithm of generating cyber-attacks sets is based on the LP$\tau$-sequence. |
| DOI | 10.1109/ICIEAM.2017.8076474 |
| Citation Key | repp_diagnostics_2017 |
Diagnostics and Assessment of the Industrial Network Security Expert System