Network security situation assessment method based on noise reduction self-coding kernel density estimation

• Main Authors: QIU SHAOMING, DU XIULI, LYU YANA, TAO FAN, SONG LINKAI
• Format: Patent
• Language: Chinese; English
• Published: 27.05.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a network security situation assessment method based on noise reduction self-encoding kernel density estimation, which belongs to the field of computer network security, and comprises the following steps: acquiring network flow data as situation data; performing preprocessing on the situation data; dividing the preprocessed situation data into training set data and test set data according to a proportion; constructing a noise reduction self-encoding network and a kernel password estimation model based on the training set data; inputting the test set data into the noise reduction self-encoding network and the kernel password estimation model in sequence to obtain the threat occurrence probability of the network flow data; performing security assessment on the network situation based on the threat occurrence probability of the network flow data, and determining the level of the network security situation; network situation data are subjected to dimensionality reduction and situation pote