Intelligent Data Analytics for Terror Threat Prediction

5Text Mining for Secure Cyber Space

Supriya Raheja* and Geetika Munjal

Amity University, Noida, Uttar Pradesh, India

Abstract

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.

Keywords: Cyberspace, natural language processing, text mining, matrix decomposition

5.1 Introduction

In digital era, the rapid inclusion of evolving technologies significantly increases not only the growth and efficiency of organizations but also opens the door for the cyber-attacks. Cyber-attacks threaten the code-assisted cyber space. “Cyber” notion is used to relate the concepts of computer networks specifically in the area of security. Now, the term “cyber” becomes a standard for industrialists as well as for researchers and academicians. It is linked with all words like cyber-attack, cyber-crime, cyber-defense, offensive cyber, ...