Text Mining for Secure Cyber Space
Supriya Raheja, Geetika Munjal · 2021
Natural language processing techniques can be used to automatically classify sentences from input texts to the potential cyber-attack events. This work presents an expert system for extracting similarity score of cyber-attack related keywords among various resources. The proposed work uses Text Mining approach for making a secure cyber space. To achieve this, an integrated model of lower upper triangular decomposition along with Cholskey decomposition has proposed, further the output is executed in Singular Value Decomposition. The approach is evaluated on accuracy parameter in finding similarity and MRR score of vulnerable keywords. Such studies provide us valuable inputs and insights regarding possible cyber-attacks.