METHOD OF DETERMINING ACTUAL THREATS TO INFORMATION SECURITY OF INFORMATION INFRASTRUCTURE OBJECTS BASED ON WORD VECTORIZATION METHOD IN ARTIFICIAL NEURAL NETWORK
	MINAKOV V A; GRIGORYEV S V
	2024-06-27
专利权人	AYKRIEYT LLC (AYKR-Non-standard)
申请日期	2024-06-27
专利号	RU2833173-C1
成果简介	NOVELTY - Method of determining actual threats to information security of information infrastructure objects based on a method for vectoring words in an artificial neural network comprises steps of obtaining a list of known vulnerabilities and threats, attack patterns; creating an artificial neural network (ANN), which takes values of vulnerability features, with hidden layers of ANN, including layers of vector representations of words, long-short-term memory and fully connected layers, with one output, which forms a list of names of actual threats with given vulnerability features; obtaining a set of training samples of vulnerabilities, threats and patterns of computer attacks; training created ANN with verification on reference data by input of training samples; obtaining a list of detected vulnerabilities; vulnerability features are sent to the input of the created ANN and a list of actual threats to the information infrastructure object is obtained at the output. USE - Information security. ADVANTAGE - Reduced complexity and labour intensity of the process of forming a list of actual threats to information infrastructure objects. 1 cl, 2 dwg
IPC 分类号	G06F-021/57 ; G06N-003/02
国家	俄罗斯
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/16072
专题	中国科学院新疆生态与地理研究所
作者单位	AYKRIEYT LLC (AYKR-Non-standard)
推荐引用方式 GB/T 7714	MINAKOV V A,GRIGORYEV S V. METHOD OF DETERMINING ACTUAL THREATS TO INFORMATION SECURITY OF INFORMATION INFRASTRUCTURE OBJECTS BASED ON WORD VECTORIZATION METHOD IN ARTIFICIAL NEURAL NETWORK. RU2833173-C1[P]. 2024.

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