All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Abstract

Quantitative risk analysis method of information security-combining fuzzy comprehensive analysis with information entropy

Author(s): Cheng Yuandong

Quantitative risk assessment method based on information entropy: Because there was short effective assessment way for the risk level of the whole information system. I brought the information entropy into risk assessment of information security. The definition of risk degree was given first, which was the Likelihood estimate of probability and impact of risk, to scale risk degree of the whole information system. Since the evaluation on the probability and impact of risk were fuzzy, the risk factors were evaluated by means of fuzzy comprehensive evaluation method. For this method, the weight of each risk would be gained by entropy-weight coefficient; the subjective of expert assignment will be overcome. The risk degree will be gained by combining fuzzy comprehensive evaluation with information entropy, to measure off the risk degree of information system. In the paper I gave examples to show the application of this method.


Share this       
Awards Nomination

Table of Contents

Google Scholar citation report
Citations : 875

BioTechnology: An Indian Journal received 875 citations as per Google Scholar report

Indexed In

  • CASS
  • Google Scholar
  • Open J Gate
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Cosmos IF
  • Directory of Research Journal Indexing (DRJI)
  • Secret Search Engine Labs
  • Euro Pub
  • ICMJE

View More

Flyer