2020 Vol.3 Aug. No.4

• Title: Research on detection method of potential multi-step attack in optical fiber transmission network
• Name: Gautam Srivastava
• Company: Department of Mathematics and Computer Science, Brandon University, Canada, POSTCODE
• Abstract:

  most of the current detection methods have little difference between different attacks, which leads to poor detection performance. Aiming at this problem, a new potential multi-step attack detection method for optical fiber transmission network is proposed. This paper analyzes the basic idea of multi-step attack detection method, generates the database of global attack sequence and attack sequence, obtains the most reasonable value in Mathematics according to the curve of fitting support number and confidence degree sequence and its second derivative function as the minimum support degree and minimum confidence degree threshold of association rule mining, and extracts the attack sequence data by association rule mining method. Based on the mining results of causal association rules of multi-step attack in optical fiber transmission network, a Bayesian attack network scenario is established. The multi-step attack in optical fiber transmission network is regarded as a training set, and the parameters of the whole optical fiber transmission network are calculated by forward reasoning technology. By adding the evidence of multi-step attack, the probability of different nodes in the causal Bayesian attack scenario is calculated to detect the potential multi-step attack in the optical transmission network. After verification, the proposed method also has better detection performance for attacks with small difference.

  
  

• Keyword: optical fiber transmission network; potential; multi-step attack; detection
• DOI: 10.12250/jpciams2020040410
• Citation form: Gautam Srivastava.Research on detection method of potential multi-step attack in optical fiber transmission network[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 17-25.

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